RoboSense Wins Award for World’s First MEMS-based Smart LiDAR Sensor for Self-Driving Passenger Vehicles
Rilispedia.com – RoboSense, the world’s leading autonomous driving LiDAR perception solution provider, announced today that it has won the CES 2020 Innovation Award the second year in a row for autonomous vehicle technology. RoboSense won this year’s CES 2020 Innovation Award for the first MEMS-based Smart LiDAR Sensor, the RoboSense RS-LiDAR-M1, winning in the Vehicle Intelligence and Self-Driving Technology category.
The RoboSense award-winning RS-LiDAR-M1 is the world’s first and only MEMS-based smart LiDAR sensor for self-driving passenger vehicles with its own embedded AI algorithm technologies and SoC (System on a Chip). The RS-LiDAR-M1 goes beyond traditional LiDAR, providing full data collection and comprehension. As a ground-breaking product, the RS-LiDAR-M1 not only collects and interprets high definition 3D point cloud data, but also processes road data in real-time, with a built-in AI algorithm and SoC, while at the same time synchronizing high-precision positioning output; road traffic signage; lane markings, driving areas, road curbs, and obstacle detection; tracking; and classification. Also, it is the world’s smallest MEMS-based solid-state LiDAR, providing a low cost, high stability, and superior manufacturability to meet automotive-grade and serial production requirements.
“We are honored to be recognized by CES for the second year in a row for our innovative autonomous vehicle technology to advance passenger vehicle acceptance and mass production,” said Dr. Leilei Shinohara, RoboSense Vice President of R&D. “Our technologies have been certified by RoboSense’s over 100 global partners in various types of autopilot scenarios. Recently, we have partnered with FAW (‘First Automobile Works’), the world’s leading automotive OEM, to include the RS-LiDAR-M1 as a core component into FAW’s proprietary next-generation autonomous driving system development. After extensive data training and model optimization, our sensors have shown performance stability far superior to any other technologies available on the market.”