Automated & Connected

At the Japan Automotive AI Challenge, autonomous karts were equipped with Velodyne Puck lidar sensors. Photo: Business Wire

Velodyne sponsors SAE autonomous AI challenge in Japan

Velodyne participated as a gold sponsor in the recent Japan Automotive AI Challenge. The university student competition, organized by the Society of Automotive Engineers of Japan, brought together student teams to compete for artificial intelligence (AI) algorithm accuracy during autonomous driving on test roads.

The challenge, which took place at the University of Tokyo in Tokyo, Japan on March 23-24, 2019, supports education of AI engineers in autonomous vehicle (AV) development. AI algorithms developed by the teams were installed in self-driving motorized karts and used in a test-track competition. Each of the autonomous karts was equipped with Velodyne Puck lidar sensors to provide the rich perception data needed for autonomous driving. The team from the University of Tokyo emerged as the competition winner.

student participants and sponsors standing on a stage at Japan automotive AI challenge

 

 

 

 

 

 

 

 

 

 

 

“This competition seeks to discover and nurture future engineers with skills in AI technology necessary for autonomous vehicles,” said Dr. Shinpei Kato, founder & CTO, Tier IV, Inc. “It builds student talents in image recognition technology that are indispensable for AV operation and having Velodyne, the lidar market leader, participate brings invaluable expertise and experience to the participants.”

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“Through the Japan Automotive AI Challenge, next generation AI engineers learn how lidar 3D perception empowers autonomous vehicles,” added Wei Weng, executive director APAC at Velodyne Lidar. “Velodyne feels privileged to have worked closely with industry, government, and education organizations involved in the challenge to advance the AI skills of these creative engineers so they can contribute to growing the AV industry.”

Congratulations University of Tokyo team!

 

Mark Miller is a contributing writer to SAE International. He has worked as a technology writer and editor for IBM and other advanced information technology firms. His areas of concentration include artificial intelligence, cybersecurity, analytics, and Internet of Things technologies.