AEye Insights: The Road to Electrification

In this installment of the AEye Insights series, AEye Founder and VP of Corporate Development, Jordan Greene sits down with Ryan Popple, AEye Advisor, General Partner at R7 and Executive Director at Proterra to discuss current trends in electrification and urban transportation, the importance of smart sensors, and the implementation of fully autonomous charging stations.
JG: Hello, everybody. Welcome to AEye Insights, where we talk industry trends with proven business leaders. Our guest today is Ryan Popple, AEye Advisor, General Partner at R7 and Executive Director at Proterra, a company that designs and manufactures zero emission buses. Ryan, welcome and thank you for joining us.RP: Thanks for having me, Jordan.
JG: Ryan, we’ll just dive right into it. You have been involved in a number of really interesting things in next generation mobility, both on the corporate and the investment side. Can you tell us a little bit about your experience in this sector?RP: Sure. I’ve been working on mobility technology, specifically with a sustainability aspect to it, for about the last 15 years. I worked on biofuels, and was an early employee at Tesla Motors. I saw Tesla through the early development of its technology and the launch of its first car, the Tesla Roadster, and also worked on the origin of the Model S program, when EV was the focus and AV was just getting started. Also, as you mentioned, I worked on the investment side in venture capital, again, focused on mobility technologies, including EV charging, telemetry, fleet management and EV fleet vehicles like Proterra. And then for five-and-a-half years, I was the CEO of Proterra. I saw the company through early commercialization, past its first hundred million dollars of revenue, and, as mentioned, I’m currently on the board of Proterra and also general partner with R7.
JG: You’ve had a lot of experiences within the electric vehicle domain and urban transportation. Where do you think we are today as far as the development cycle? And what trends are you seeing in the market?RP: I think autonomy and sensor technology is very much following a similar curve to electric vehicle technology, and it’s probably lagged by a few years, but it is helpful for us to look at the EV sector as kind of an example of how things start, how they initially ramp up and then how they reach real market impact. On the EV side, where we are today, I think for the first time in a long time, the market – as well as customers – generally accept zero emission and EV in particular for urban markets is the future of the transportation market from a propulsion perspective. If you think about it, EV in the modern era probably really got started with GM’s EV1. It’s great that you’ve got the Bolt EV behind you because it’s kind of the bookends of very early R&D now to mass market commercialization of a vehicle that is a successful consumer application and in high volume. But it did take a lot of core technology development, and I think that’s where we’ve been the last few years in EV, and then active participation from the major OEMs like GM, Daimler, BMW, Ford, Porsche, really getting into the EV space and utilizing their supply chain to ramp quickly. And again, I think that’s going to be a parallel to what we see in the sensor and AV market, that we’re in the very beginnings of commercialization now with commercial traction starting to appear in a lot of different applications, especially enhanced safety, but because of the fact that the OEMs are really embracing it, like they’ve started to embrace EV, I think the growth from this point on is going to be quite dramatic and step change in nature.
JG: I’m sure that you’ve seen within the technology development several technology hurdles and engineering challenges. Let’s dive into some of those and try and see where we come out, because I’m curious what your thoughts are – we talked in the past about infrastructure challenges, charging challenges and various different challenges that have been hurdles in some sense to try and get through to make this electric vehicle, autonomous vehicle world a reality. What are some of those, and what are you most concerned with, and what are you thinking are addressable problems, and how do we solve them?RP: Sure. Well, in any new technology market, as a good friend of mine has said, every day, there’s a different puzzle to solve and that continues through full commercialization. In the EV market, I think the first challenges were largely technical, and I think you can look at the battery as probably the most essential component of the EV market. So those early technical challenges were things like energy density, which is kind of shorthand for the size and weight of a battery relative to how much range and use you can get out of it. Cycle life, which is probably, again, shorthand for just durability and reliability. How long is the technology going to last in the vehicle application? And then there were also early challenges to overcome in terms of product market fit with charging and charging models, cold weather applicability, and I would say it’s been very important for the industry to solve those challenges first, while also in parallel, keeping a close eye on cost of technology to make sure that the business case really was robust for a consumer or a business or a government fleet to implement EV. That’s both on the vehicle side and on the charging side.
While you have to do those things in parallel, I would say that getting the technology right and working in a really robust manner is probably more important than the cost reduction, that there generally are pockets of the market where a new technology can enter, and then as you grow it, you naturally are able to achieve economies of scale and reduce pricing to enable a larger market.
We’ve seen every few years, as you unlock bigger and bigger portions of the market, there’s a new puzzle to solve and sometimes that’s hill climb capability or extreme cold weather performance. A couple of years ago, the focus was more on hot weather performance. How does the HVAC system work? And again, I think very similar parallels to what’s going on in the sensor software AV/ADAS market that initially the most important element to get right is the technology working really well. You enter the market in some relative niche applications and then you scale from there and naturally cost comes down and you unlock more and more market applications.
JG: I have several follow up questions, but the first would be on the hybridization of those EV and AV models, there seems to be a lot of overlap. There seems to be a lot of interesting interplay between the two. You talked about the emergence of new technology enabling all this. But specifically, if I look at the photo that’s right behind your head, could you tell us a little bit about what’s going on there and what the challenges are or the next gen challenges are for EV and maybe how they fit and interplay with the AV challenge?RP: The graphic behind me is a great representation of how a number of technologies are coming together, both seen and unseen, in this representation of the fleet vehicle yard of the future. The first thing you notice is there are electric buses, so EVs are a critical portion of the future fleet. But you also see solar power generation, so distributed energy generation, in the form of PV panels, and then you see the green boxes behind me, which are bidirectional chargers so the electric vehicles can take power from solar or off the grid and they can resupply with it or refuel with it, but they can also take power or they can provide power back through those boxes or power electronics, and they can supply power back to the grid or to onsite energy storage. You can also see in the photo that there is automated overhead charging. The vision, and we’ve already started to deploy this in places like Edmonton, Canada or Foothill Transit in Southern California, is that the electric vehicle, the electric fleet vehicles of the future are going to have fully autonomous, fully robotic charging. Those charging systems basically prevent or remove the need for human beings to be involved in plugging in all these different vehicles. There are some positive safety elements to that. There’s also just a general quality control aspect of it, because you completely automate it.
In order to accomplish the vision behind me, in addition to needing solar technology, EV stationary storage, you also need sophisticated sensor technology for micro location and vehicle verification, because every one of those buses should be capable of pulling into an automated charging station, positively identifying the fact that the vehicle is ready to charge, and the charger needs to identify that there is the correct type of vehicle behind it and that when the right bus pulls in the right lane, the correct charger deploys to charge it. All of that requires some pretty, pretty sophisticated sensor technology to get right at scale, and I think that’s one of the places where AV technology plays a role in the EV fleet of the future. Initially, it’s for automating and error proofing that charging process. But longer term, it will likely be that once an electric vehicle is behind the fence in a fleet yard, the vehicle should be able to drive itself to perform basic behind the fence operations, like potentially pulling into a wash rack or pulling into a charging depot.
JG: Walk me through the current sensor suite and what’s involved in that. I imagine the operator of the vehicle will likely pull up to this charging depot, and the goal would be to completely automate the process from that handoff onwards to the charging. What is required? What kind of sensors do you need? What kind of precision do you need? What kind of tools do you need to make that a successful option?RP: Well, I’d say the state of the industry today, depending on which deployment you’re ..

CES 2021 – January 11-14, 2021

January 11-14, 2021 | CES | Virtual EventTo schedule a live, virtual demo, email [email protected].CES 2021 – January 11-14, 2021 —AEye Insights: The Roadmap to AutonomyAEye Insights: 2021 Transportation TrendsAEye Reveals Advanced MEMS That Delivers Solid-State Performance and Reliability Needed to Advance Adoption of Low-Cost LiDARAEye Unveils 4Sight™, a Breakthrough LiDAR Sensor That Delivers Automotive Solid-State Reliability and Record-Breaking Performance4Sight for TruckingContinental Expands LiDAR Technology Portfolio by Investing in Robotic Vision and Sensing Pioneer AEyeCoffee Talk: Stephen LambrightCoffee Talk: John StocktonAEye Appoints Blair LaCorte as CEO; Luis Dussan Named President and CTO

Coffee Talk: Dr. Allan Steinhardt

Each week, we sit down with a different member of AEye’s leadership team to discuss their role, their view of challenges and opportunities in the industry, and their take on what lies ahead.
This week, we talk with our Chief Scientist, Dr. Allan Steinhardt.

1. You have an illustrious career. You are an IEEE fellow and former Chief Scientist at DARPA and recipient of the US Defense Medal for Exceptional Public Service, among other accolades. What prompted you to join a startup at this stage of your career?It wasn’t something I planned to do – It was opportunistic. When I left DARPA as a Chief Scientist, I became Chief Scientist at Booz Allen Hamilton and we built a Science and Technology business, where we consulted with Chief Technology Officers at many of the Fortune 100 companies. I was consulting for Airbus at the time. Paul Eremenko was the CEO of Airbus Silicon Valley Innovation Center and a former colleague of mine at DARPA. He wanted me to come to the Silicon Valley and identify interesting sensor companies for autonomous flight. I interviewed a lot of companies in the marketplace, and was really impressed with AEye. I saw it as being very similar to some of the more innovative, cutting-edge sensing concepts that I had seen from radar, and so I recommended an investment. Airbus invested, Luis invited me to join the board, and, later, to join the company. Actually, all three of us on the technical advisory board – myself, John Stockton and Blair LaCorte – quit the board to join the company, which I think is pretty unusual in the Valley.
The startup opportunity intrigued me, as I saw it as an opportunity to have a different kind of impact, to change the world through changing the kinds of products that are available. I was involved with some of the early investments in autonomy and LiDAR through DARPA, and like many others amongst my peers I was drawn to the autonomous vehicle commercial market as a result of the DARPA Grand Challenge I interacted with some of the early DARPA internet pioneers, guys like Dr. Vint Cerf who went on to do really cool things in industry as the internet was being born commercially. I see autonomous cars as being a similar disruptive technology. Doing the kind of work that I did at DARPA, but on a commercial scale, seemed very exciting to me.
2. Tell us about your role at AEye.I have a couple of roles: one of them has to do with the intellectual property, the patent portfolio. I also work closely with our CMO to articulate our value proposition to a non-technical audience. I had a very similar responsibility at DARPA, interfacing with various staffers and congressional committees that needed to articulate the value proposition. I also am intimately involved with the engineers on a daily basis as a mentor, as well as leading brainstorming. I’m pleased that over a dozen of our engineers have been involved in patent generation, so we have a very broad team of innovators. I also work very closely with the system engineers, CTO and chief engineer, and make sure that, when it comes to bids and product specifications, we have compliance in terms of the documentation or the articulated performance.
3. Can you expand upon your teamwork, and how you collaborate on the technical innovation that you’re leading?There are four groups that I work with. I work quite a bit with the software team, because we have a very agile system, and almost every aspect is subject to software control. We have three levels of feedback on the steering mirrors. Everything has software control parameters to it, so you really can’t just do the engineering. I work very tightly with the software team.
From the engineering team’s perspective, I work mostly with the architects and the system engineers that are trying to characterize and model the system. And then I do a fair amount of interaction with what we call our field application engineers, which are the people that have the most experience with operating our LiDAR as a LiDAR, as opposed to testing individual components of it, and they tend to have the deepest level of expertise and insight into potential ways to improve or to innovate on the system. I spend a lot of time with them and they work very closely with the marketing team, as well.
There’s an interesting synergy between marketing and the scientists. It’s sort of analogous in the military. I found I was much more comfortable working with and talking to what we refer to as operators like Special Forces or other “tip of the spear” kinds of military operatives, than the system engineering acquisition shops, which is typically where you think of engineering taking place. The reason I enjoyed that was that there’s a lot of innovation. The innovation doesn’t stop with the military. Once you have a system, innovation begins, so I’ve taken that philosophy here at AEye, and I think it’s really paying dividends.
4. Having funded hundreds of radar and LiDAR projects over the years, what do you think are some of the most interesting applications occurring right now?Some of these, I think, might be a little surprising, like geology and limb prosthetics.
LiDAR has been used as a lie detector. You can do 3D mapping of the flow of blood in the brain: the blood flows in the brain to replenish areas where there’s been a great deal of activity, so by looking to see whether activity is present in areas which are associated with imagination versus memory recall, you can infer whether a person is telling the truth or not. That science has also moved into thought-controlled prosthetics where soldiers that have lost limbs have functioning robotic limbs that are controlled by thought, and it’s based on that early work. Those advancements have been very satisfying to me personally.
There are two applications that stand out to me in the world of radar. One of the things that we use radio telescopes for, which is like the passive form of radar, is to measure continental drift. We can measure the drift of continents at the seven millimetre scale, and the way we do it is we steer radar dishes at the Big Bang and take recordings of the radio static from the Big Bang. By analyzing subtle shifts in how that signal is changing, we’re able to measure precisely the drift of continents, which has really changed the nature of earthquake prediction.
Another one is weather prediction. We have a system where you have different radars on different satellites, and you deliberately shoot from one satellite and receive on another through the air. By measuring the fingerprint of the signal, you’re able to get the moisture content in the air along that straw of atmosphere, and then you go through lots and lots of processing and you come up with a three dimensional map of the entire moisture content of the globe. A lot of the work on climate change and weather prediction is based on that.
5. In addition to your scientific achievements at DARPA, Booz Allen, MIT Lincoln Laboratory, and BAE/Alphatech, you’ve been a professor (Cornell), and a prolific author and speaker on space, land, and naval-based electronic warfare, sensor, and radar systems. What do you feel personally have been your most important contributions to science?I am an IEEE Fellow, and received recognition from the Defense Department on what’s called Space Time processing, which is looking deeply into how you combine data from a lot of different positions in space and time, and pull it all together. It’s kind of physics meets computer science and math. So I’d say that’s probably my most important contribution. A true scientist would say, “Well, Steinhardt, he’s not a scientist, he’s an engineer,” so it all depends on who you talk to. I’m not a physicist. I’m not a biologist. But there are scientists that use a lot of the tools that my teams have developed.
6. Finally, what’s your favorite mode of transportation?It would have to be mountain boots and a rope and an ice ax, when I’m moving up a ridge somewhere with my daughter, who loves to do mountaineering with me. My dad was a mountaineer, too. I also love sailing, and biking. I love being active. I use cars because I have to get to work. But I don’t wake up in the morning and say, “Gee, I can’t wait to to turn the key in my car.”
Coffee Talk: Dr. Allan Steinhardt —AEye Reveals Advanced MEMS That Delivers Solid-State Performance and Reliability Needed to Advance Adoption of Low-Cost LiDARAEye Appoints Blair LaCorte as CEO; Luis Dussan Named President and CTOCoffee Talk: Stephen LambrightContinental Expands LiDAR Technology Portfolio by Investing in Robotic Vision and Sensing Pioneer AEye4Sight for ITS ApplicationsAEye Unveils 4Sight™, a Breakthrough LiDAR Sensor That Delivers Automotive Solid-State Reliability and Record-Breaking PerformanceCoffee Talk: Nate Ramanathan50G Positive Z-DirectionAEye Insights: 2021 Transportation Trends

Coffee Talk: Nate Ramanathan

Each week, we sit down with a different member of AEye’s leadership team to discuss their role, their view of challenges and opportunities in the industry, and their take on what lies ahead.
This week, we talk with SVP of Operations, Nate Ramanathan.

1. As SVP of Operations, you cover a lot of ground. Can you tell us about your role?You’re right – it’s a lot of ground. Let’s start off with the supply chain. That includes sourcing, inventory management, purchasing activities, negotiation of contracts, master supply agreements, and then the cost management associated with the components leading into manufacturing, product quality, product reliability, compliance activities, product lifecycle management – the PLMs and the systems ERP. New product introduction is a large bucket by itself – taking a product out of R&D to productization. After product launch, it’s managing the production continuity, deliveries, and cost leading to revenue and gross margin. Then there are other things like facilities management, audits, and any new equipment purchases and agreements. In a startup, we wear many hats.
I can boil my role down to two key activities: negotiation and risk mitigation. I’m negotiating 24/7, either with our CEO, CTO or CFO, my supplier and my customers, or my internal customers such as Business Development or Engineering. I’m negotiating on the delivery quantities and timelines, design tolerances, and pricing. Ultimately it comes down to negotiations and trade-offs. I’m also constantly doing risk identification and mitigation. I see a potential risk like the current situation with COVID, and I look at how to mitigate it. Everything flows from that: I look to make my CEO, CTO, and CFO’s life easy – to make sure the systems and product are humming so that they can focus on their priorities.
2. You’ve nurtured the supply chain as AEye has transitioned from prototype to production design for automotive grade manufacturing at volume. What’s it like building and scaling the supply chain for a nascent market?It’s very exciting. Tech startups are all about speed, nimbleness and agility. I came from a large, multibillion-dollar company. When I walked in here in January of 2018, AEye had a prototype. From that first prototype to ramping production, you need to have supply chain stability, product reliability and quality – all at a low cost. The first thing I did was to step back and look at where we were going to be in 3-5 years. From that standpoint, I could answer the question, what do we need to do today? My job was to transition from prototype to production at scale.
Very quickly, we made the decision to set up to be automotive-grade, with all of the rigor that entails. From that starting point, it’s easy to expand into other markets. We made prototypes geared towards automotive, tested those prototypes against automotive test standards, and set up the ERP, PLM, and document control systems early on.
Today, we are an automotive company selling an automotive product, and the discussions have moved into production and volume. We are negotiating with large corporations on volume price points. We’re looking at a ten-year outlook, good gross margins, and solid revenue growth.
We have a solid go-to-market strategy. We work with Tier 2 automotive-grade supply chain/manufacturing partners who build to our design and IP. We then license to our Tier 1 partners, who productize and take the system to automotive OEMs. For adjacent markets such as rail, industrial, and ITS, we work with our contract manufacturing partners and system integrators to bring the product to market. We focus on what we do best – innovation and design – and our partners focus on what they do best – sourcing and production – which enables us to deliver reliable, competitively priced products, which can easily scale and meet stringent automotive and industrialization requirements.
I enjoyed the scaling aspect, and we are still scratching the surface in this market. When I started, few knew about LiDAR. Now, anyone who watches CNBC knows, and I get calls from people saying, “I remember you using this word, LiDAR. Are you still with that company?” During this two-and-a-half-year journey, while we were working through the productization and setting ourselves up for success in the automotive market, the market suddenly matured. Now it’s clearly a growth market.
3. Prior to AEye, you were a senior executive at Benchmark, a multibillion-dollar contract manufacturer. How has that experience influenced how you approach your role at AEye?During my career, I have switched between the supplier and customer side. Before Benchmark, I was Benchmark’s customer, and I consciously took the role at Benchmark to learn that side of the business. The contract manufacturing world teaches you one thing: how to bootstrap. Startups know it because they don’t have a choice. Contract manufacturers (CMs) do it willingly. If they don’t, they’ll be out of business because they have razor-thin margins. The contract manufacturer world teaches you how to take a very low margin product, and make it at volume: how to scale successfully.
At AEye, the first thing I said was, we’re not going to manufacture in-house. The manufacturing business is not for the faint of heart. There is operational excellence driving the profitability of the product and continuing to drive the product cost down. It’s better for us to work with a CM and let them figure out how to do that, while we focus on our core competency, building the best, most reliable product, a product that meets and exceeds customer expectations.
With CMs as my primary suppliers, I’ll always keep in mind how they run their business. To keep them successful, I need to have a product that is scalable and profitable – at low cost. Now I’m sitting in a different seat, but I know what they do and how they do it, and it helps me do my job better here at AEye.
4. You touched on it, but you have a pretty strong opinion about AEye’s design for manufacturing approach. Can you expand on that?Early in my career, I was the founder of a startup: the engineer who “knew everything” and tried to design something. When I started to manufacture it, I couldn’t – everything fell apart. That’s where I learned about design for manufacturability, and I’ve been preaching it ever since.
It’s important to design for manufacturability – to design for quality, cost, and future product iterations. If you don’t have a design that is manufacturable, a supplier or contract manufacturer will gladly charge you to do those changes, which is expensive and will disrupt your schedule. At AEye, we have worked to instill that design thinking into the culture.
The bottom line is: anything that you design has to meet all the reliability and quality standards, and should be manufacturable at the lowest possible cost – especially in automotive. There’s no way you can win the market without reliability, quality, and cost efficiency.
5. What macro trends do you see happening in this space, and in the supply chain in particular, and what do you see on the horizon in 2021?LiDAR is becoming a mainstream product. Two-and-a-half years ago, when I went to suppliers or contract manufacturers around the globe, they would say, “Oh, well, Tesla doesn’t use LiDAR,” or, even better, “Why do you need LiDAR when there are other forms of sensors such as camera…” I had to sell my market and my company to them. Some of the vendors didn’t want to touch us because it’s a nascent market and we were a startup. Now everybody wants to work with us, to build on this emerging LiDAR market. That is a huge shift. What I see in 2021 is that it’s the year of supply chain maturity. If we align this to the product life cycle & adaptation curve of an industry, we are entering the growth phase of the LiDAR Industry.
As the vaccines are administered in mass and we accustom ourselves to the new way of living, we are going to be in a place where the autonomous industry is very real and a true value-adder to the new way of living. The subcomponent suppliers in this supply chain will be looking at, “How do I invest in additional lines, putting in new facilities?” They have to scale up quickly to capture the lion’s share of the market because economies of scale will be a huge driver of cost. The automotive industry runs in long cycles, 5-7 years for a program or a particular component, and if these suppliers want to play in this game, they need to have production lines that can scale up rapidly, yet be lean, extremely efficient, and agile enough to adopt new changes in designs. We’re talking about 92 million vehicles being produced throughout the world. If we add the adjacent industries that will benefit from LiDAR sensors, that number will grow by an order of magnitude. To handle such a large demand, the supply chain maturity has to come first.
One thing we know from the history of the automotive industry over the past 100 years: they make the supply chain lean, efficient, and provide reliable products at the lowest cost. The LiDAR industry is in that path right now. Consolidation of downstream companies will start happening in mid-2021. As the cost pressure increases, sub-tier suppliers will try to vertically integrate themselves to become cost efficient. In that process, they will “lean out” the supply chain and remove inefficiencies. Some of this has already started happening in the third and fourth tier of the supply chain.
Sometimes people throw in numbers like $100 LiDAR hardware. Is it doable? Of course, it is doable, but sub-tier suppliers have to become efficient, scale up, and be ready for it to make it a reality. As the industry is looking at pricing the product in 2032 and beyond, the sub-tier suppliers in this industry are looking at all possibilities to reduce cost and provide the market with a reliable product. This consolidation process can take several years. As the market matures, the supply chain wil..

AEye Appoints Blair LaCorte as CEO; Luis Dussan Named President and CTO

Company Expands Advisory Board with High-Profile Leaders in 
Automotive, Trucking, and Rail.
Dublin, CA – October 20, 2020 – AEye, Inc, the creators of IDAR™, a perception system that acts as the eyes and visual cortex of semi-autonomous and autonomous vehicles, today announced it is appointing Blair LaCorte to the role of CEO, in conjunction with the launch of the new 4Sight sensor family of products. Luis Dussan, AEye founder, will continue to partner with LaCorte in driving growth and will focus on accelerating technology and product development as company President and Chief Technology Officer.
4Sight provides the only commercially viable long-range, high-performance LiDAR with a functionally safe AI-based perception system. Additionally, 4Sight offers the option for the industry’s only fully integrated HD camera, creating the industry’s first RGB boresighted point cloud to enhance classification capabilities. 4Sight will power automotive and trucking safety (ADAS), automated driving systems, and industrial and Intelligent Transportation systems.
Dussan founded the company in 2013 with a unique perspective on how to effectively enable LiDAR-enhanced perception for automated driving systems. Dussan was highly Influenced by his extensive experience with robotic vision, artificial intelligence and advanced sensing networks as an executive at aerospace and defense organizations, including NASA, Lockheed Martin and Northrop Grumman. Dussan believed the optimal robotic vision system would be software-definable with active, agile LiDAR instead of the passive spinning, flash, or raster LiDAR currently available. These systems needed to perform more like the human visual cortex – focusing (or foveating) on the most critical information in a scene as it scans. The key was to understand the difference between information quality and data quantity and the detrimental effects of latency in the information chain.
With these design objectives in-mind, AEye created its iDAR software platform that powers the 4Sight sensors. IDAR stands for “Intelligent Detection and Ranging” and is core to the company’s software-definable, intelligent LiDAR which has achieved industry leading performance records for range, rate, and resolution. Unlike other LiDAR alternatives, AEye’s software definability allows OEMs, Tier 1s, and system integrators to quickly test, optimize, and calibrate a single hardware system to its precise location on a vehicle with the ability to address any unique use case such as highway or city driving or adverse weather conditions.
The results are clear. AEye has over the last three years become the most awarded company in the industry with recognition from both peers and end users, and captured more than two dozen awards for innovation and product performance of its hardware, software, and artificial intelligence.
“We started AEye with a blank sheet of paper and a goal to create a simple, cost-effective, modular approach to lean sensing,” said Luis Dussan, AEye’s founder, president, and CTO. “By focusing on the data needed to make decisions, we created an intelligent software platform that leverages agile LiDAR as part of a system instead of a stand-alone passive sensor. This approach enables Tier 1 automotive suppliers and technology system integrators with existing customer relationships to precisely and efficiently address any use case.”
Aligning Executive Management Team for Commercial GrowthBlair LaCorte, previously AEye’s President, is a technology, aerospace and defense executive who has spent his career driving growth and operational excellence across private and public companies. Prior to AEye, LaCorte was Global President of PRG, the world’s largest live event technology and services company, CEO of XOJET, one of the fastest growing aviation companies in history, and operating partner at TPG, a premier private equity firm with more than $90 billion in global investments. He also has significant experience with public equity offerings as an investor and operator. Earlier in his career, LaCorte held executive and general management positions in companies including VerticalNet, Savi Technologies/Networks, Autodesk and Sun Microsystems. Blair graduated summa cum laude from the University of Maine and holds an MBA from Dartmouth’s Tuck School of Business.
“I am excited to be part of a company that is accelerating the deployment of safer and more affordable forms of automated transportation,” said LaCorte, CEO of AEye. “We are fortunate to have a passionate and mature executive team that has spent years working together to achieve a common goal. In this sense, the transition to CEO is natural and empowering as we focus on this next chapter of AEye’s growth.”
Dussan added, “I’m excited to have my friend and advisor with me in this next expansive phase of AEye. We have a lot of good work ahead of us. Based on the challenges we’ve overcome, Blair and I have the utmost confidence in our culture and team. The public markets clearly are excited by this vision based on the support of recent offerings from passive LiDAR providers Velodyne and Luminar.”
Expanding Advisory Board with Industry Leaders in Automotive, Trucking, and RailAEye’s unique system approach and the introduction of the 4Sight product has received strong support from thought leaders across various industries. This includes four new executives who have been named to the company’s advisory board. These industry veterans will bring their experience and expertise to the company as it scales for growth in automotive and adjacent high-growth markets.
Jon Lauckner brings unparalleled experience in integrating and commercializing automotive technology. Mr. Lauckner was formerly Chief Technology Officer of General Motors Company and President of GM Ventures. Prior to his retirement in July 2020, Mr. Lauckner was responsible for executing strategic investments in innovative companies developing next-generation technology. As GM’s head of research and development, he was also actively involved in the development of the latest and most-advanced technologies into GM vehicles. Over his 40+ year career at GM, Mr. Lauckner also held senior positions in Global Product Planning and Global Program Management.
Dr. Bernd Gottschalk brings significant commercial vehicle and trucking experience. He has held a number of executive leadership positions across his nearly 50 years of experience – including Executive Board Member for Daimler AG, responsible for the Commercial Vehicles Business Unit globally. Dr. Gottschalk was also president of Mercedes Benz Brazil, president of the German Association of the Automotive Industry (VDA) and serves on the board of directors of Schaeffler Group, Plastic Omnium, and Jost Werke, and previously served on the boards of Delphi and Voith. Dr. Gottschalk is the founder and Managing Partner of automotive consultancy AutoValue, and a senior advisor to venture capital firm Vektor Partners.
Frank Petznick has many years of experience developing and deploying innovative new technologies in the fields of electronics, infotainment and sensor technology. Mr. Petznick is currently the Executive Vice President of Advanced Driver Assistance Systems at Continental AG. Prior to joining Continental, Mr. Petznick was Executive Vice President of Automated Driving at Hella AG and a member of Hella Electronics Executive Board. During his tenure at Hella, Mr. Petznick held executive roles on both a regional and global basis.
Keith Dierkx was formerly IBM’s Global Industry Leader for Freight, Logistics and Rail. He also directed IBM’s Global Rail Innovation Center in Beijing, China, formed to guide the hundreds of billions of dollars China earmarked to spend building out high-speed rail lines across the country. Prior to IBM, Mr. Dierkx was Senior Vice President of Operations for Embarcadero Systems, the Information Technology arm of Marine Terminal Corporation (now Ports America), where he led the transformation of terminal operations through the utilization of digital technologies such as IoT, sensors, vision systems, and geo-spatial capabilities, to automate and optimize processes. Mr. Dierkx was also the co-founder of Savi Networks.
Newly Awarded Foundational Patents Extend the Advantages of AEye’s iDAR PlatformIn recent months, AEye has seen a significant expansion of its global patent portfolio, with 17 new patents – bringing the total number of granted patents to 32 with 18 more patents in process. With a focus on quality, the company has been granted over 2.5 times more claims per patent than any other LiDAR company. These patents align with the unique biomimicry-inspired, software driven system architecture and fall into three core functional elements:
Flexible modular hardware architecture allowing plug and play innovation from Tier 2 Automotive SuppliersSoftware definability of all hardware components and efficient fusion of real-time sensing data, allowing higher quality and faster creation of actionable informationIntegrated edge intelligence and flexible artificial intelligence to deliver more accurate information to perception systems and allow partners to run their existing algorithms seamlessly“The existing infrastructure for driving was built for the human visual cortex. For example, humans can recognize contrast cues using color to inform decision making, from the crystal mixed with paint for lane lines to refract light or the color of road signs,” said Allan Steinhardt, Chief Scientist at AEye. “As it relates to making cars smarter, we do not see it as a competition between cameras and LiDARs, but rather an opportunity to merge the strengths of both technologies to allow vehicles to visualize better than humans.This intelligent approach has allowed us to create and patent a new data object called a Dynamic Vixel that captures XYZ and RGB all at point of acquisition. What we are showing with our fused point clouds is unique and will have..

Continental Expands LiDAR Technology Portfolio by Investing in Robotic Vision and Sensing Pioneer AEye

We now have optimum short-range and world-class long-range LiDAR technologies with their complimentary set of benefits under one roof. This puts us in a strong position to cover the full vehicle environment with state-of-the-art LiDAR sensor technology and to facilitate Automated Driving at SAE levels 3 or higher in both passenger cars and commercial vehicle applications.
Continental has signed an agreement for a minority investment in California-based LiDAR pioneer AEyeBoth companies are jointly developing a high-performance long-range LiDAR sensor based on AEye’s patented 1550nm agile architecture that utilizes a novel advanced micro MEMS technologyAim is to industrialize and commercialize this technology for Automated Driving on SAE levels 3 or higher with a dual focus on passenger and commercial vehicle use casesSanta Barbara/Dublin, CA (USA) – October 27, 2020 – Technology company Continental is further strengthening its LiDAR sensor portfolio through a minority investment in LiDAR pioneer AEye, Inc. LiDAR sensors belong, besides camera and radar, to the key technologies for Automated Driving. Continental has accumulated over 20 years of expertise in LiDAR sensors alone. AEye, located in Dublin, California (USA), has developed a long-range LiDAR technology combining an amplifiable 1550nm laser with patented feedback-controlled Microelectromechanical System (MEMS) scanner. This technology can be configured via software and thus be optimized for manufacturers vehicle and applications. The AEye LiDAR offers maximum leverage for passenger and commercial vehicle applications because it combines a high dynamic spatial resolution with a long-range detection. Vehicles can be detected at a distance of more than 300 meters and pedestrians at a distance of more than 200 meters. AEye’s ability to detect small, low-reflective objects, such as bricks, at a distance of 160 meters with multiple measuring points is pivotal for Automated Driving in both passenger cars and commercial vehicles. Continental will utilize this LiDAR technology and industrialize the sensor to deliver a fully automotive-grade product. The first series production is currently scheduled for the end of 2024.
By partnering with AEye, Continental complements its existing short-range 3D Flash LiDAR technology, which goes into series production later this year, supporting highly automated driving in a global premium vehicle program. This start of production of the High-Resolution 3D Flash LiDAR (HFL) is a key milestone. It is the first high-resolution solid-state LiDAR sensor to go into series production in the automotive market worldwide.
“We now have optimum short-range and world-class long-range LiDAR technologies with their complimentary set of benefits under one roof. This puts us in a strong position to cover the full vehicle environment with state-of-the-art LiDAR sensor technology and to facilitate Automated Driving at SAE levels 3 or higher in both passenger cars and commercial vehicle applications,” said Frank Petznick, head of the Advanced Driver Assistance Systems (ADAS) business unit at Continental.
Blair LaCorte, CEO of AEye Inc., welcomes the Continental investment by saying, “ADAS solutions require a unique mix of performance, scalability, packaging, and a long-term commitment to reliability and safety. Continental is a recognized leader in automotive sensing technology as well as in automotive product industrialization and commercialization. We look forward to working closely with their team to customize our modular and scalable design to deliver Continentals high-performance long-range LiDAR systems to the world’s leading vehicle manufacturers.”
Commercial vehicle application is a touchstoneAutomated vehicles capable of AD SAE level 3 or higher require a sensor setup that includes camera, radar and LiDAR to detect objects and usable trajectories around the vehicle. LiDAR sensors offer the strength of robust 3D pixel level detection at high resolution. Continental uses tailored automotive-grade LiDAR technology for both short- and long-range sensing. For the short range, 3D Flash LiDAR technology offers 3D pixel images very quickly and precisely by illuminating and capturing an entire scene in one pulse per frame of data (global shutter technology). For a robust detection of objects at long-range distances, 1550nm agile LiDAR technology provides a proven combination of software configurable HD resolution of over 1600 points per square degree and detection ranges beyond 300 meters. The patented MEMS-based design of AEye’s LiDAR provides tremendous solid-state reliability, while also delivering uncompromising performance under adverse weather and road conditions.
Commercial vehicles with their large mass and longer stopping distance face special challenges to enable safe automated driving. Automation for these vehicles will require a maximum sensor range and resolution to ensure sufficient processing time for automated decisions and actions.
“By bringing leading edge technology together from all three environmental sensor areas, we are creating synergetic effects that will benefit the vehicle manufacturers,” Petznick said. “Continental has vast expertise in all three sensor technologies and in software development. Access to 1550nm MEMS LiDAR technology is another step in this successful sensor strategy.”
About ContinentalContinental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2019, Continental generated sales of €44.5 billion and currently employs more than 232,000 people in 59 countries and markets.
For Continental, automated driving is an essential building block of future mobility. It will significantly change people’s journeys, for example, on the highway, in the city, and when parking. In 2012, Continental became the first automotive supplier worldwide to receive a license for highly automated test drives on public roads in the US state of Nevada. Sensors, control units, brake systems, software, connectivity solutions, driving functions as well as information and control systems for automated driving are developed in a global network focusing on Japan, China, the USA, India, and Europe. In the future, this will enable a wide range of solutions between partially automated and driverless vehicles. The aim is a seamless, efficient, sustainable, and comfortable mobility without crashes.
Press Contact:
Miriam Baum
External Communications
Autonomous Mobility and Safety Business Area
Continental
Phone: +49 69 7603 9510
Email: [email protected]
Soeren Pinkow
External Communications
Autonomous Mobility and Safety Business Area
Continental
Phone: +49 69 7603 8492
Email: [email protected]
Press Portal: www.continental-press.com
Media Center: continental.com/media-center
Continental Expands LiDAR Technology Portfolio by Investing in Robotic Vision and Sensing Pioneer AEye —AEye Appoints Blair LaCorte as CEO; Luis Dussan Named President and CTOAEye Team Profile: Steven WongSecurity Magazine Explores LiDAR for Security ApplicationsAEye Team Profile: Viktoria ParkerAEye Reveals Advanced MEMS That Delivers Solid-State Performance and Reliability Needed to Advance Adoption of Low-Cost LiDARTime of Flight vs. FMCW LiDAR: A Side-by-Side Comparison50G Positive Z-DirectionAEye Sets New Benchmark for LiDAR Range4Sight Shock and Vibe Testing

50G Positive Z-Direction

The AEye 4Sight M sensor completes 50g mechanical shock testing on June 5, 2020. The tests were performed and certified by NTS at their facilities in Fremont, CA.50G Positive Z-Direction —AEye Reveals Advanced MEMS That Delivers Solid-State Performance and Reliability Needed to Advance Adoption of Low-Cost LiDARAEye and Tata Elxsi: Autonomous VehicleAEye Team Profile: Viktoria ParkerAEye and Infineon: Perception, Safety, and PerformanceAEye and ANSYS: Simulation and PrototypingTime of Flight vs. FMCW LiDAR: A Side-by-Side Comparison4Sight Shock and Vibe TestingAEye Team Profile: Steven WongSecurity Magazine Explores LiDAR for Security Applications

4Sight Shock and Vibe Testing

The AEye 4Sight M sensor completes testing of random vibration of over 12Grms (5-2000Hz) on May 29, 2020. The tests were performed and certified by NTS at their facilities in Fremont, CA.4Sight Shock and Vibe Testing —AEye and Infineon: Perception, Safety, and PerformanceAEye Reveals Advanced MEMS That Delivers Solid-State Performance and Reliability Needed to Advance Adoption of Low-Cost LiDARAEye and Tata Elxsi: Autonomous VehicleAEye Sets New Benchmark for LiDAR RangeAEye Team Profile: Steven WongTime of Flight vs. FMCW LiDAR: A Side-by-Side ComparisonAEye and ANSYS: Simulation and PrototypingAEye Team Profile: Viktoria ParkerAEye Unveils 4Sight™, a Breakthrough LiDAR Sensor That Delivers Automotive Solid-State Reliability and Record-Breaking Performance

Image Sensors Europe – March 11-12, 2020

March 11-12, 2020 | Image Sensors Europe | LondonMarch 11th, 4:10pm | Track: LiDAR and Advances in IR ImagingTopic: Equal to the AV task: next-generation LiDAR, next-generation metricsSpeaker: Umar Piracha – Staff LiDAR Systems Engineer, AEyeImage Sensors Europe – March 11-12, 2020 —AEye Announces World’s First Commercially Available Perception Software Designed to Run Inside the Sensors of Autonomous VehiclesAEye and ANSYS: Simulation and PrototypingAEye’s iDAR Leverages Infineon Aurix as Host for Communication with Autosar, Functional Safety and Embedded SoftwareAEye Unveils New Headquarters in Dublin, CaliforniaAbrupt Stop DetectionTime of Flight vs. FMCW LiDAR: A Side-by-Side ComparisonObstacle AvoidanceAEye and ANSYS Accelerate Autonomous Driving SafetyMercury News Announces AEye’s Move to New Dublin California Headquarters