RoboSense’s autonomous perception systems consist of advanced lidar hardware and AI point cloud perception algorithms that output real-time environment information from the 3D point cloud, including high-precision localization, obstacles detection, classification, and tracking, etc.
The product with which RoboSense plans to attack the mass market is its RS-LiDAR-M1, a MEMS solid-state lidar which claims to strike a perfect balance between low cost and higher vehicle safety, reliability, and performance. The mass production version of the M1, to be provided to OEMs and Tier 1 suppliers, will have a built-in dedicated computing chip to run RoboSense’s proprietary AI point cloud perception Algorithms, outputting the environment-perception results in real-time. With this Smart Sensor, customers of ControlWorks will no longer need an additional ECU on vehicle to run algorithms, which will reduce mass production cost and also save space within the vehicle.
Catering to the critical applications of smart transportation, including passenger cars, RoboTaxis, unmanned low speed vehicles and shuttles, and V2R (vehicle to roadside systems), RoboSense provides customized lidar Sensor Systems by combining its 16, 32, and 128 channel lidar, short-range blind spot lidar, and AI point cloud perception algorithms. Currently, ControlWorks has integrated RoboSense’s perception system RS-Fusion-P3 system in their autonomous driving system, and they are planning to integrate RoboSense’s solid-state LiDAR RS-LiDAR-M1 in their next stage of testing.
RoboSense’s lidar system provides environment information, including long and close range detection, and the ability for use in extreme weather and lighting conditions, even with the interference of multiple lidars. Last March, the world’s first all-weather driverless minibus GACHA, equipped with RoboSense’s cold-resistant lidar, was released in Finland by MUJI, Sensible 4, and RoboSense.