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ADAS

RoboSense lidars to be used in FAW AVs

Dan SymondsBy Dan SymondsOctober 3, 20192 Mins Read
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Lidar developer RoboSense has been contracted to supply its newly developed solid-state lidar sensor – RS-LiDAR-M1 – as part of a next generation autonomous driving system being developed by Chinese auto maker First Automobile Works (FAW).

According to RoboSense, the RS-LiDAR-M1 is the world’s first and only all-in-one unit MEMS-based smart lidar sensor for self-driving passenger vehicles, with its own embedded AI algorithm technologies and system on a chip (SoC). It transforms a traditional lidar system into a full data analysis and comprehension system. The RS-LiDAR-M1 not only collects and interprets high definition 3D point cloud data, but its built-in AI algorithm and SoC also process road data in real-time, while at the same time synchronizing outputs of high-precision localization, obstacle detection, tracking and classification, road curbs and driving areas detection.

The RS-LiDAR-M1 has been designed to be streamlined, enabling it to be easily embedded and helping it to complement the aesthetics of the vehicle.

Fengjun Li, director of the Intelligent Connected Vehicle Development Institute, FAW, said, “Our cooperation with RoboSense demonstrates our confidence in using a smart lidar sensor for Level 3 autonomy and above, and accelerates the commercialized development of our proprietary next-generation autonomous driving system.”

Steven Qiu ChuanXin, RoboSense founder and CEO, added, “The RS-LiDAR-M1 is a revolutionary product developed upon more than 10 years of research development accumulated by the RoboSense team. We believe the partnership will enhance the serial production ability of the automotive-grade smart lidar sensor for autonomous driving.”

To learn more about lidar and other sensor technologies for AVs, catch the “Vision – Sensors and Lidar Test and Development” session at the Autonomous Vehicle Test & Development Symposium in Novi, MI in October. For more information, up-to-date programs and rates, click here. The symposium is hosted at Autonomous Vehicle Technology Expo.

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