Tag: Autonomous

AEye Advisory Board Profile: Tim Shiple

We sat down with each of our Advisory Board Members to ask them why they’re excited about working with AEye…

Mr. Shiple has 30 years of experience in roles such as Chief Operations Officer and Chief Supply Chain Officer. His experience includes: Portfolio management, Procurement, Finance, Operations, M&A, ERP, and Product Hardware & Software Development. At Google, he led Supply Chain and Quality and Customer Care initiatives. As the Senior Executive in charge of M&A with Ecolab, Mr. Shiple helped improve their performance and manage identification of acquisition synergies. Mr. Shiple earned a bachelor’s degree in business at Spring Arbor University. He received Executive Management and Leadership education at Columbia University.

Q: What in your past experience ultimately drew you to the autonomous vehicle arena?
With over 15 years of experience in the automotive industry and another 12 years in technology, I’ve found that the development of autonomous vehicles is the perfect intersection of my experience and interests.

Q: Why AEye?
Because of my experience in automotive and technology, I’m able to spot a lucrative startup in those fields. AEye is one of those.

Talking to many key players in the automotive industry and the autonomous space — such as Tier 1s and OEMs who are trying to assess their positioning and their technology — has given me the unique ability to find a promising startup and help it grow and mature, while also providing resources and connections on both sides of the industry.

Q: Where do you see ADAS solutions, autonomous vehicles, and/or artificial perception, heading within the next few years? The next decade? Beyond? How do you see AEye playing a pivotal role in this vision?
As perception layers become more important to automotive companies, Tier 1s will certainly include AEye’s advanced artificial perception system, iDAR, in the ADAS systems they’re developing. In the short term, I see that the industry will first make better safety systems for ADAS, which will eventually lead us through the 5 levels of autonomy.

But I’m not just referring to self-driving cars. This will include planes, trains, and other vehicles, many of which will usher us into a new dimension of transportation. We’ll begin to not only see self-driving vehicles on the road, but in the air, which will get us to where we need to go faster, and in a more economic way. The flying vehicle promise will be fulfilled sooner than we think, and AEye will play a pivotal role in perception for these vehicles every step of the way.

AEye Advisory Board Profile: Tim Shiple — The Future of Autonomous Vehicles: Part I – Think Like a Robot, Perceive Like a HumanAEye Advisory Board Profile: Elliot GarbusAEye Advisory Board Profile: Willie GaultThe Future of Autonomous Vehicles: Part II – Blind Technology without Compassion Is RuthlessAEye Advisory Board Profile: Scott PfotenhauerAEye’s iDAR Shatters Both Range and Scan Rate Performance Records for Automotive Grade LiDARAEye’s iDAR Leverages Biomimicry to Enable First Solid State Lidar with 100Hz Scan RateAEye’s $40M Series B Includes Numerous Automotive Leaders Including Subaru, Hella, LG, and SKAEye Extends Patent Portfolio, Creating Industry’s Most Comprehensive Library of Solid-State Lidar Intellectual PropertyBlair LaCorte Named President of AEye

Ford Investigating Process for U.S. Emissions Certification Concerning Road Load

DEARBORN, Mich.–(BUSINESS WIRE)–The following can be attributed to Kim Pittel, group vice president, Sustainability, Environment & Safety Engineering, Ford Motor Company: “In September, a handful of employees raised a concern through our Speak Up employee reporting channel regarding the analytical modeling that is part of our U.S. fuel economy and emissions compliance process. At Ford,… Continue reading Ford Investigating Process for U.S. Emissions Certification Concerning Road Load

HERE: Continual & quality of network coverage

The map service provider HERE has a new partner, Continual, and integrates the quality of network coverage into its material. The enterprise HERE has a new partner, namely Continual. Together we want to promote mobility networking. Specifically, it is about the combination of integrated solutions, the establishment of 5G and the radio network coverage on… Continue reading HERE: Continual & quality of network coverage

Porsche tests an autonomous driving project at its plant in Ludwigsburg (Germany)

Posted 2/21/2019 11:25:12 PM STUTTGART (GERMANY), 21 Feb. (EUROPA PRESS) – Porsche has started an autonomous driving project at its plant in Ludwigsburg (Germany), through which cars go from the parking area to the workshop completely alone. According to the company detailed in a statement, a Porsche worker ‘activates’ the vehicle from a tablet and… Continue reading Porsche tests an autonomous driving project at its plant in Ludwigsburg (Germany)

Tesla should be able to drive autonomously until the end of the year

Tesla boss Elon Musk believes his vehicles will be able to drive by themselves by the end of the year. Elon Musk is convinced that it will be ready for serial production by the end of 2019. This could work, Musk said, if the authorities would allow it. However, he did not name a degree… Continue reading Tesla should be able to drive autonomously until the end of the year

Elon Musk: Full Self-Driving Teslas This Year, “Unequivocal” Tesla Autopilot Improves Safety

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Autonomous Vehicles Published on February 20th, 2019 | by Steve Hanley
Elon Musk: Full Self-Driving Teslas This Year, “Unequivocal” Tesla Autopilot Improves SafetyTwitterLinkedInFacebookFebruary 20th, 2019 by Steve Hanley

Credit: ARK Invest via Twitter
Elon Musk sat down with Tasha Keeney and Cathie Wood of ARK Invest February 19 for a podcast session that focused primarily on Tesla’s Autopilot technology and when Musk sees it being capable of driving cars with no human interaction.
ARK Invest is a financial management company whose stated mission is identifying “disruptive innovation in the public markets,” according to its website. “We research a global universe that spans sectors and market capitalizations to offer investment solutions with low correlation to traditional index-based strategies, because we believe innovation is key to growth.” Currently, about 8% of ARK’s portfolio is invested in Tesla. The group’s target price for the stock in the long term is a highly aggressive $4,000 per share.
“I think we will be feature complete — full self-driving — this year,” Musk said in the podcast interview. “Meaning the car will be able to find you in a parking lot, pick you up, and take you all the way to your destination without an intervention, this year. I would say I am certain of that. That is not a question mark. However, people sometimes will extrapolate that to mean now it works with 100 percent certainty, requires no observation, perfectly. This is not the case.”

In other words, he is talking about Level 4 autonomy not Level 5, which presupposes that the car can do everything a human driver can do under all conditions. That goal is still a few years away, Musk suggests, and depends on certain factors over which Tesla has no direct control, such as state and federal regulators. “My guess as to when we would think it is safe for somebody to essentially fall asleep and wake up at their destination? Probably towards the end of next year. That is when I think it would be safe enough for that.”
Autonomous cars are the holy grail for most automakers today, as well as Waymo, the self-driving arm of Google (er, Alphabet). What makes Tesla so sure it is able to keep up with all those heavy hitters? “The reason Tesla is making rapid progress is because we have vastly more data, and this is increasing exponentially.” As each new Tesla hits the road, its onboard computer begins sending streams of data back to Tesla, where engineers can use it to verify the functionality of Autopilot and compare upgrades that are in the works with real-world experience.
Musk has stated repeatedly that Autopilot is already safer than a human driver and will only get better over time. “No matter how you slice the data, it is unequivocal at this point that it’s safer to have autopilot on.” Finally, Musk told Tasha and Cathi, “People think sometimes that I’m like a business person or finance person, or something like that. I’m an engineer. I do engineering, always have.” Seems to be working out reasonably well for him so far.

About the AuthorSteve Hanley Steve writes about the interface between technology and sustainability from his home in Rhode Island and anywhere else the Singularity may lead him. His motto is, “Life is not measured by how many breaths we take but by the number of moments that take our breath away!” You can follow him on Google + and on Twitter.

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VW’s Audi to cut 10 percent of management positions: CEO

Audi aims to reduce the number of engine types by one third. FRANKFURT: Volkswagen‘s premium auto brand Audi plans to eliminate one layer of management or about 10 percent of the division’s executive positions in a cost cutting drive, the unit’s chief executive told daily Handelsblatt. “One thing is clear, our cost base is too… Continue reading VW’s Audi to cut 10 percent of management positions: CEO

AEye Extends Patent Portfolio, Creating Industry’s Most Comprehensive Library of Solid-State Lidar Intellectual Property

Patented technology gives iDAR system the ability to create superior perception data, radically improving safety, reliability, and efficiency of autonomous vehicles.
“The difference is our fundamental system architecture, which allows us to produce mobility solutions with industry leading range, resolution and update rate performance, while at the same time delivering ADAS solutions that are optimized for size, weight, power, and price.”

Pleasanton, CA – February 20, 2019 – Artificial perception pioneer AEye today announced a significant expansion of its global patent portfolio, demonstrating its ongoing commitment to innovative solutions that promote safe and reliable vehicle autonomy. In addition to three patents previously announced, AEye has been awarded eight additional patents covering core components of AEye’s iDAR™ (Intelligent Detection and Ranging) perception system, including its solid-state MEMs-based agile LiDAR, fused HD camera, and software definable AI technology.

Six of the new patents relate to iDAR’s unique ability to enable software-defined frames and dynamic scan patterns. iDAR eliminates the constraints of the typical static point cloud by introducing dynamic scan modes designed to improve information acuity and minimize latency. With iDAR, scan modes can be combined and their data aggregated, enabling an AEye iDAR-powered device to be configured according to situational demands, such as when a vehicle moving at speed encounters congestion. This results in improved perception and time-to-reaction, while significantly reducing resource overhead.

Two of AEye’s recent patents focus on how the iDAR platform monitors and manages the laser energy of its agile LiDAR. iDAR deploys adaptive energy control on a pulse-by-pulse basis, allowing the system to automatically adjust the energy, tuning and shaping of each laser pulse. This advanced architecture allows for both the dynamic adjustment of scan patterns and the ability to adapt the laser energy for each pulse — enabling complete interference mitigation, eye safety and retro mitigation.

“AEye set out to create the optimal architecture for artificial perception, reinventing the core technologies that enable it,” said Aravind Ratnam, vice president of Products at AEye. “These patents represent AEye innovations that allow us to intelligently process data at its source, while using the minimal laser power to actively interrogate each frame. By optimizing and adjusting pulse power and direction in real-time, we are able simultaneously focus on regions of interest, filter irrelevant data, and eliminate interference and spoofing, while delivering the highest levels of eye safety and retro mitigation.”

AEye’s iDAR Brings Intelligence to LiDAR
Conventional LiDAR systems are designed to provide basic search capabilities — passively capturing limited data and treating it all equally without distinguishing critical threats or objects in the scene. In contrast, AEye’s iDAR performs multi-modal intelligent search which can then acquire, pre-classify and track multiple objects quickly. Putting this intelligence in the sensor at the edge of the network produces better quality perception data that is more quickly, efficiently and accurately processed into actionable information. In addition, iDAR is a software-definable artificial perception system designed to be interoperable with existing LiDAR sensors and can be customized and extended as needed.

“The difference is our fundamental system architecture, which allows us to produce mobility solutions with industry leading range, resolution and update rate performance, while at the same time delivering ADAS solutions that are optimized for size, weight, power, and price,” said Joel Benscoter, head of Customer Success for AEye. “We can do this while ensuring both products will be under ASIL-B functional safety certification, to ensure they meet the automotive industry’s stringent safety standards. Nobody else can do this.”

AEye recently announced the AE110 for the mobility applications and the AE200 for ADAS solutions. The features enabled by the technologies covered in these patents will be available in both product lines.

About AEye
AEye is an artificial perception pioneer and creator of iDAR™, a perception system that acts as the eyes and visual cortex of autonomous vehicles. Since its demonstration of its solid-state LiDAR scanner in 2013, AEye has pioneered breakthroughs in intelligent sensing. The company is based in the San Francisco Bay Area, and backed by world-renowned investors including Kleiner Perkins Caufield & Byers, Taiwania Capital, Intel Capital and Airbus Ventures.

Media Contact:

AEye, Inc.
Jennifer Deitsch
[email protected]

925-400-4366

AEye Extends Patent Portfolio, Creating Industry’s Most Comprehensive Library of Solid-State Lidar Intellectual Property — The Future of Autonomous Vehicles: Part I – Think Like a Robot, Perceive Like a HumanAEye’s iDAR Shatters Both Range and Scan Rate Performance Records for Automotive Grade LiDARAEye Introduces Advanced Mobility Product for the Autonomous Vehicle MarketAEye Introduces Next Generation of Artificial Perception: New Dynamic Vixels™AEye Granted Foundational Patents For Core Solid-State MEMs-Based Agile LiDAR And Embedded AI TechnologyLG Electronics and AEye Announce Strategic Partnership to Address Sensing and Perception Needs of ADAS MarketGartner Names AEye Cool Vendor in AI for Computer VisionAEye’s $40M Series B Includes Numerous Automotive Leaders Including Subaru, Hella, LG, and SKElon Musk Is Right: LiDAR Is a Crutch (Sort of.)AEye Announces Industry Leading Family of Perception Sensors for ADAS Solutions