Autonomous

Aurora’s Autonomous Car Plan to Catch Up to Waymo: Trucks and Ubers

Illustration: Joseph Melhuish for Bloomberg Businessweek

On Feb. 11, about a month after closing on the acquisition of Uber’s Advanced Technologies Group, or ATG, the self-driving-car startup Aurora held an all-hands meeting. Like every other company meeting since the pandemic began, it took place via videoconference, and included the simulacra of in-person office interactions. When managers handed out awards, there was no applause from co-workers. Instead, Aurora co-founder and Chief Executive Officer Chris Urmson hit a button that produced canned cheers and clapping. “I am so looking forward to not having that button,” Urmson

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Drake Star Partners Unveils Comprehensive Electric and Autonomous Vehicle Industry Forecast

SAN FRANCISCO–(BUSINESS WIRE)–Drake Star Partners today published its “State of the Advanced Mobility Industry Report 2021.” The study focuses on the great acceleration of electrification and autonomy, the effects of COVID-19 and their respective recoveries in its aftermath. To read the “State of the Advanced Mobility Industry Report 2021,” click here.

“2020 was a year like no other with COVID-19 having a profound impact on the automobile industry,” said Vitaly Golomb, partner, Drake Star Partners. “A year later with widespread vaccinations underway, there is cautious optimism for a return to normalcy. Electric vehicles look to regain momentum

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Velodyne and Ansys Team Up to Transform Autonomous Vehicle Safety | State

PITTSBURGH, April 12, 2021 /PRNewswire/ —

/ Key Highlights

  • Ansys and Velodyne are developing highly accurate physics-based models of Velodyne’s lidar sensor to detect and track driving hazards
  • The collaboration accelerates the integration of Velodyne’s sensor into autonomous vehicles (AV) to help make roads safer

Velodyne and Ansys (NASDAQ: ANSS) are developing software models of next-generation automotive lidar sensors to provide substantially improved hazard identification capabilities for highly advanced AVs. The collaboration incorporates Velodyne’s lidar design into Ansys’ virtual sensor suite and expedites automakers’ integration of Velodyne’s sensor into AVs — delivering industry-leading driving safety and a drastically faster

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Automotive Hypervisor Market by Type, Vehicle Type, End-user, Level of Autonomous Driving, Bus System and Region

Dublin, April 08, 2021 (GLOBE NEWSWIRE) — The “Automotive Hypervisor Market by Type (Type 1 & Type 2), Vehicle Type (PC, LCV & HCV), End User (Economy, Mid-Priced & Luxury), Level of Autonomous Driving (Autonomous & Semi-Autonomous (Level 1, 2 & 3), Bus System, and Region – Global Forecast to 2026” report has been added to ResearchAndMarkets.com’s offering.

The global automotive hypervisor market is estimated to grow at a CAGR of 39.3% during the forecast period to reach USD 704 million by 2026 from an estimated USD 134 million in 2021.

Adoption of advanced features in vehicles and the rise

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QUT calls for industry-government alliances to make autonomous cars a reality

Researchers from the Queensland University of Technology (QUT) have touted the use of artificial intelligence to determine the feasibility of autonomous cars on Australian roads.

The QUT Centre for Robotics has conducted research projects into mapping for autonomous cars using AI. The centre’s acting director Professor Michael Milford said map updating is a major challenge for autonomous vehicle adoption.

Milford said given mapping isn’t a globally mature field, there are opportunities for Australia to catch up quickly.

“Current out-of-the-box European mapping solutions don’t recognise unique Australian signs or infrastructure and require customisation,” he said. “Widespread autonomous vehicles use is some

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AI safety system offers autonomous vehicle drivers seven seconds warning

A team of researchers in Germany have come up with a safety system that could warn drivers of autonomous cars that they will have to take control up to seven seconds in advance.

A team of researchers at the Technical University of Munich (TUM) has developed a new early warning system for autonomous vehicles that uses artificial intelligence to learn from thousands of real traffic situations. The study of the system was carried out in cooperation with the BMW Group.

Researchers behind the study claim that if used in today’s self-driving vehicles, it could offer seven seconds advanced warning against

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