Autonomous Vehicle

RoboSense MEMS-based Smart LiDAR Sensor Wins CES 2020 Innovation Award

RoboSense, an 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. The CES Innovation Award is an annual program that recognizes the best technology products of the year. It is sponsored by the Consumer Technology Association (CTA), owner and producer of CES

The company won the award for the MEMS-based Smart LiDAR Sensor, the RoboSense RS-LiDAR-M1, winning in the Vehicle Intelligence and Self-Driving Technology category. The Lidar has its own embedded AI algorithm technologies and SoC(System on a Chip) and claims to provide full data collection and comprehension. It 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. The company says the product also provides a low cost, high stability, and superior manufacturability to meet automotive-grade and serial production requirements.

“Driving Safety is the most critical challenge for the Autonomous driving vehicles. Perception is the first sense for the AD vehicles to precept the surrounding environment. To ensure a completely safe perception working in all conditions, LiDAR with smart perception algorithm and supporting functions are indispensable. We are very proud that our smart LiDR sensor concept have been recognized by the customers and different application users, ” said Dr. Leilei Shinohara, RoboSense Vice President of R&D.

The RoboSenseRS-LiDAR-M1 Smart LiDAR Sensor will be on display in the Innovation Awards Showcaseat the upcoming CES 2020 that will provide access to the very latest transformative tech, such as 5G connectivity, artificial intelligence, augmented and virtual reality, smart home, smart cities, sports tech, machine learning and more.

Source: Press Release

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