Ford Motor Company Issues Safety Recall for Select 2017 Explorer Vehicles for a Sharp Seat Frame Edge

About Ford Motor Company Ford Motor Company is a global company based in Dearborn, Michigan. The company designs, manufactures, markets and services a full line of Ford cars, trucks, SUVs, electrified vehicles and Lincoln luxury vehicles, provides financial services through Ford Motor Credit Company and is pursuing leadership positions in electrification, autonomous vehicles and mobility… Continue reading Ford Motor Company Issues Safety Recall for Select 2017 Explorer Vehicles for a Sharp Seat Frame Edge

Audi AI:Trail concept splices trail-ready with autonomous-ready

Earlier this week at the Frankfurt auto show, Audi revealed a strikingly different adventure-vehicle concept car that’s designed to show, according to the brand, “a comprehensive concept for sustainable mobility off the beaten track.”

The AI:Trail completes a quartet of concepts with similarly colon-punctuated names—the AI:Con, AI:Me, and AI:Race—that show how the German luxury brand can pull autonomous-driving modes and all-electric powertrains into vehicles for almost any kind of automotive lifestyle.

It’s an important issue to address. With just a few exceptions, the electric cars of the past decade conform into a surprisingly homogenous set. They’re far from representative of the real potential of going fully electric—that it allows a lot more flexibility for vehicles to be strikingly different and varied in design versus models with a combustion engine.

The AI:Trail has four electric motors—not in-wheel motors—summing to 435 horsepower and 738 pound-feet of torque, and what it calls “ample battery capacity” bringing a driving range of up to 311 miles based on the European WLTP cycle.

For on-road driving, the AI:Trail has level 4 automated driving capability—meaning that it has traditional controls but in specific conditions can take over responsibility from the driver.

Audi promises confident crawling up off-road trails, and its gearing of the motor systems was chosen to deliver strong wheel torque in off-roading. It underscores that its development “was not about achieving remarkably quick acceleration or hitting breathtaking speeds on the autobahn.”

The AI:Trail, with its huge 22-inch wheels and 33.5-inch big-sidewall tires, is limited to 81 mph. But it can ford up to 19 inches of water and has a ground clearance of 13.4 inches.

Green Car Reports walked around the concept at the show and found that Audi’s own released pictures didn’t entirely do the design justice, especially from the rear. The concept is exceptionally tall—5.5 feet overall—and the “one-box” passenger-cell design and especially sharp creasing around the cabin give it the look of a sci-fi truck brought to life. Its design looks influenced by lunar-rover designs, with a passenger pod over huge wheels.

The concept has a lot of glass around and overhead, allowing an impressive view out for off-roading. Retractable running boards help with access, while an optical-sensor system reads the surface and adjusts the tire pressure accordingly.

The driver interface consists of a yoke instead of a steering wheel, plus a minimal set of buttons. Interior materials include recycled textiles, reprocessed wool, and recycled leather. Second-row seats follow a hammock-like design that helps save weight.

With a mix of high-strength steel, aluminum, and carbon fiber, the AI:Trail weighs less than 3,900 pounds despite what Audi calls a high-capacity battery.

The headlights themselves are actually drones that can detach from the vehicle and go airborne, helping illuminate the way ahead of the vehicle when off-roading, or a surrounding area when parked. While that seems like a silly use of energy and effort, it’s exactly the kind of feature we’d expect to see in an innovation-focused concept vehicle—and it’s cool.

Perhaps the most puzzling piece to ponder now is how all of these concepts fit together into Audi’s future, which so far has been mostly in the form of electric versions of pre-existing formats (like the production E-tron SUV, the upcoming Q4 e-tron, and the e-tron GT sport sedan). The future, if this is any hint, could get a lot more interesting.

SAIC Volkswagen to expand production at Xinjiang plant

URUMQI, Sept. 12 (Xinhua) — SAIC Volkswagen's plant in China's far west Xinjiang Uygur Autonomous Region is scheduled to increase production by mass-producing an SUV model in mid-2020.
The SUV production line has been installed and is expected to start mass production of the Tharu SUV model in July next year, said Fu Xuejun, general manager of the SAIC Volkswagen (Xinjiang) Automotive Co., Ltd.
The Xinjiang subsidiary previously only produced the new Santana sedan model, with the output exceeding 20,000 units last year.
After the mass production of the SUV model, total production at the Xinjiang plant is expected to increase to 50,000 units.
The subsidiary, based in Urumqi, capital of Xinjiang, is SAIC Volkswagen's first production facility in western China and also Xinjiang's first passenger vehicle assembly plant.

Chinese startup Full Truck Alliance breaks even en route to IPO

China’s Uber-for-trucks startup Full Truck Alliance said it’s weighing an initial public offering after breaking even from May, defying a sector-wide downturn. The company, which is backed by SoftBank Group Corp. and Tencent Holdings Ltd., said its improved financial performance dovetailed with its decision not to follow through on a plan to raise as much as $1… Continue reading Chinese startup Full Truck Alliance breaks even en route to IPO

Why we invested in Voyage, a self-driving car company.

Voyage, our self-driving car portfolio company, has announced their $31 million Series B funding round, here. We’re proud to continue backing Oliver Cameron and his team alongside existing investors and welcome new investors Franklin Templeton and Chevron Technology Ventures to the journey! Sam Clifton explores why we invested in Voyage and why we continue to… Continue reading Why we invested in Voyage, a self-driving car company.

INMOTION VENTURES BACKS SELF-DRIVING CAR COMPANY VOYAGE IN $31M RAISE

InMotion Ventures has announced its follow-on investment into autonomous vehicle manufacturer Voyage. The investment is part of a $31m Series B fundraiser, led by Franklin Templeton, with participation from Khosla Ventures and Chevron Technology Ventures – bringing its total capital raised to $52m. Voyage will be using the fresh funding to bring its technology to… Continue reading INMOTION VENTURES BACKS SELF-DRIVING CAR COMPANY VOYAGE IN $31M RAISE

AEye: Developing Artificial Perception Technologies That Exceed Human Perception

Nothing can take in more information and process it faster and more accurately than the human visual cortex…until now. Humans classify complex objects at speeds up to 27Hz, with the brain processing 580 megapixels of data in as little as 13 milliseconds. While conventional LiDAR sensors on autonomous vehicles average around a 10Hz frame rate and revisit rate, iDAR sensors can achieve a frame rate in excess of 100Hz (>3x human vision), and an object revisit rate of >500Hz.
So what?A single interrogation point rarely delivers sufficient confidence – it is only suggestive. That’s why LiDAR systems must capture multiple detects of the same object to fully comprehend it, making the speed of subsequent interrogations/detects (the object revisit rate) significantly more critical to autonomous vehicle safety than frame rate alone. For conventional LiDAR sensors, the object revisit rate is the frame rate.
AEye’s iDAR not only has the ability to revisit an object within a single frame, it can revisit multiple points/objects of interest. The achievable object revisit rate of AEye’s iDAR system for objects of interest is microseconds to a few milliseconds – which can be up to 3000x faster, compared to conventional LiDAR systems that typically require hundreds of milliseconds between revisits.
Reducing the time between object detections within the same frame is critical, as shorter object revisit times keep processing times low for advanced algorithms that correlate multiple moving objects in a scene.
“iDAR takes the guesswork out of artificial perception and replaces it with actionable data.” – Dr. Allan Steinhardt, AEye Chief Scientist

AEye: Developing Artificial Perception Technologies That Exceed Human Perception —This Is AEyeForbes On How AEye Teaches Autonomous Vehicles to Perceive Like a HumanAEye Advisory Board Profile: Scott PfotenhauerAEye Advisory Board Profile: Luke SchneiderAEye Adds VP of AI and Software to Executive TeamRethinking the Three “Rs” of LiDAR: Rate, Resolution and RangeAEye Team Profile: Bailey Da CostaAEye Team Profile: Jim RobnettAEye Announces Industry Leading Family of Perception Sensors for ADAS Solutions

Applied Intuition raises $40 million for autonomous vehicle simulation tools – VentureBeat

Simulators are invaluable assets for companies developing autonomous vehicles (AVs). These tools are used by Waymo, GM’s Cruise, Zoox, and countless others to validate systems’ scalability and safety, not to mention training the machine learning algorithms underlying car makers’ real-world vehicles. But not every company has the resources to build their own software simulator from… Continue reading Applied Intuition raises $40 million for autonomous vehicle simulation tools – VentureBeat

Renault K-ZE electric crossover launches in China for just ~$9,000

Renault has unveiled the production version of its new K-ZE electric crossover, and in China, it starts at just ~$9,000. We reported on the Renault K-ZE when they unveiled the prototype last year. At the time, the only spec that they confirmed is the range, which they claim is 250 km (155 miles), but they… Continue reading Renault K-ZE electric crossover launches in China for just ~$9,000

Lyft Level 5 Self-Driving Dataset Competition Now Open

By: Vinay Shet, Director, Product Management The Lyft Level 5 team recently released a self-driving dataset with several tens of thousands of human-labeled 3D annotated frames and a semantic map, along with associated lidar frames and camera imagery. Today, we’re thrilled to launch a Kaggle competition with this dataset on 3D object detection over a… Continue reading Lyft Level 5 Self-Driving Dataset Competition Now Open