RoboSense and Webasto, a market leader for roof systems, have announced cooperation on the Smart Roof Sensor Module that integrated with RoboSense automotive-grade MEMS LiDAR RS-LiDAR-M1 for Level 3 to Level 5 autonomous driving vehicles, largely simplifying the structure and mounting process of conventional sensor sets of self-driving vehicles and ensures advanced safety perception.

Through this strategic cooperation, Webasto is committed to seamlessly embedding the RoboSense M1, camera and other sensor systems to the panoramic roof of vehicles to provide safer and more reliable environment perception information at the smallest possible space in the roof. The solution allows different roof systems to be mounted on the vehicle body, creating greater flexibility for the development of autonomous vehicles.

The SOP version of M1 has fully met the OEM’s all automotive-grade requirements.

  • M1 has successfully solved point cloud’s “corner cases” including high reflectivity objects, near-field obstacles, strong ambient light (direct sunlight), and interference from other LiDAR sensors, etc.
  • M1 successfully passed the automotive-grade verification tests include mechanical and vibration, shock, EMC electromagnetic compatibility, human eye safety, chemical anti-corrosion, salt spray, high and low-temperature storage and operation, etc.
  • Moreover, RoboSense has established China’s first automotive-grade solid-state LiDAR production line and would start mass production and delivery in Q2 2021.

The RoboSense M1 boasts 125 ultra-high resolution scanning beams, ultra-wide FOV of 120°*25°, and a maximum detection range of 200m (150M@10%). At present, the M1(thickness 45mm, depth 108mm, width 110mm) is the thinnest solid-state LiDAR on the market. At the highest point of the vehicle, the M1’s unique mounting position in the smart roof module gives it the vantage point of view, which can greatly improve the detection ability of the perception system and ensure the safe and stable operation of the autonomous driving systems. Moreover, it costs less fuel consumption/NEDC mileage than other LiDAR products.