RoboSense RS-LiDAR-M1 Smart LiDAR Sensor Wins AutoSens Awards 2019

True autonomous driving requires human-like advanced sensing of the environment for driving with little or no human input. The safety of passengers and passers-by is always the priority concern for autonomous driving.

On September 18, 2019, RoboSense announced at Brussels, Belgium that its flagship product RS-LiDAR-M1 Smart LiDAR Sensor has been awarded the elite AutoSens Awards trophy in the "Best Automotive Safety System" category, given to only the highest-rated innovative product or technology in the automotive industry.


True autonomous driving requires human-like advanced sensing of the environment for driving with little or no human input. The safety of passengers and passers-by is always the priority concern for autonomous driving. When the RS-LiDAR-M1 is integrated into the current autonomous driving car perception system, it overcomes the weaknesses of millimeter wave radar and camera technologies on identifying obstacles, and eliminates car accidents, such as Tesla's recent cases, greatly improving the security of autonomous driving and ensuring passenger safety.

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 SoC (System of Chip) . The RS-LiDAR-M1 transforms traditional LiDAR systems (also known as solely data collectors), to full data analysis and comprehension systems.

As a ground-breaking product, the RS-LiDAR-M1 not only collects and interprets high definition 3D point cloud data, but the RS-LiDAR-M1's 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.

RS-LiDAR-M1's built-in AI algorithm has went through a large number of extreme and complex environmental tests, such as a variety of road, weather, and traffic conditions, not only in simple situations such as highways, but also with complex challenges such as intersections with Chinese characters during peak commuting hours and dense traffic, in order to ensure that the Smart LiDAR Sensor can provide rich, precise, reliable and redundant information to the self-driving vehicle for driving decision making in real-time under any circumstances.

"The precise information processed and delivered by RS-LiDAR-M1 will help self-driving cars on making meaningful driving decisions based on sufficient redundant information. We are confident that the mass produced RS-LiDAR-M1 is necessary for SAE Level 3 to Level 5 of autonomous driving and ASIL-D advanced safety", said Mark, RoboSense COO & Co-founder.

The judges from AutoSens Awards review panel commented that RoboSense Smart LiDAR Sensor technology provides an innovative safety system to the industry, with a fusion of LiDAR sensor hardware and AI perception algorithm software. The judges deemed it a highly valuable system with strong innovation qualities.

The AutoSens Awards are the highlight of the global vehicle perception world. This year in Brussels, Belgium, it invites winners including start-ups, individuals and electronics and automotive giants, representing a thriving industrial ecosystem doing some of the most exciting technology development the world has ever seen. Its review panel consists of world-class experts in the field of automotive and attracts more than 120 participants. RoboSense is the final winner of "Best Automotive Safety System" category. The finalists include world-leading automotive brands as GM, Daimler, and FICOSA and Audi.

About RoboSense:

Founded in 2014, RoboSense (Suteng Innovation Technology Co., Ltd.) is the first and only MEMS-based Smart LiDAR Sensor for autonomous driving. RoboSense is headquartered in Shenzhen, China with branch offices in the U.S., Germany, Beijing, and Shanghai. Customers include the world's leading autonomous driving technology companies, automotive OEMs, and Tier 1 suppliers.

For more information please visit: https://www.robosense.ai/

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