RoboSense announced the world’s first public road test of a vehicle equipped with a Smart LiDAR Sensor at CES 2020. The RoboSense Smart LiDAR car, featuring the award-winning RS-LiDAR-M1 Smart LiDAR, was running outside the Las Vegas Convention Center daily during CES 2020, showing the latest technological progress in autonomous vehicle LiDAR. Simultaneous exhibitions was held at RoboSense’s CES Booth #6138 at the LVCC, North Hall showcasing the real-time 3D point cloud data on a vehicle equipped with the multi-LiDAR fusion system.
First MEMS Smart LiDAR Sensor to incorporate sensor hardware, AI perception algorithms, & IC chipsets
The RoboSense RS-LiDAR-M1 Smart LiDAR is the world’s first MEMS Smart LiDAR Sensor to incorporate sensor hardware, AI perception algorithms, and IC chipsets, transforming conventional LiDAR sensors from an information collector to a complete data analysis and comprehension system, providing essential information for autonomous vehicle decision-making faster than ever before. The RS-LiDAR-M1 is the winner of the CES Innovation Award for two consecutive years in a row, 2019 and 2020.
RoboSense Co-Partner and Vice President Dr. Leilei Shinohara, said, “Based on extensive data optimization, RoboSense’s algorithm performance and software stability and reliability have proven to have many key advantages. Developed by RoboSense after more than a decade of exhaustive research in perception technology, it has combined the deep learning-based AI algorithm performance advantages with traditional algorithms to provide functional safety. Since 2017, RoboSense’s algorithms have gained more than 100 global partners for various types of autonomous driving scenario certifications.”
Smart LiDAR capable of real road tests on open roads
At CES and on the streets of Las Vegas, the RoboSense RS-LiDAR-M1 is demonstrating that it is the smart LiDAR capable of real road tests on open roads. The road tests showcase the advantages of RoboSense’s RS-LiDAR-M1 smart LiDAR as compared to other LiDAR, including:
- Provides high-resolution 3D point cloud data faster than traditional LiDAR.
- Outputs structured semantic-level comprehensive environment information in real-time, including RoboSense’s own high-precision positioning, free space detection, dynamic object tracking, and obstacle detection, identification, and classification for autonomous vehicle decision-making, improving autonomous driving safety.
- Helps OEMs and Tier 1 suppliers quickly deploy LiDAR into mass-produced autonomous vehicles and ADAS systems, saving research time and cost.
- The final serial production version of the RS-LiDAR-M1 Smart will include additional functions, such as automatic calibration, window fog detection, sleep mode, and automatic wake-up to further improve autonomous driving feasibility and safety, saving time on maintenance.
- Multi- LiDAR fusion system synchronous display.
128 laser beam system & fastest mass-produced short-range LiDAR for blind spot detection
During CES 2020, the RoboSense 128-beam LiDAR RS-Ruby and the short-range blind spot LiDAR RS-BPearl were also showcased at CES with a public road demo and simultaneous demonstration at the RoboSense Booth. This super high-performance 128-beam LiDAR RS-Ruby possesses an ultra-high resolution of 0.1°, capable of object image detail with near pixel-level scanning. Combined with the range performance of 200m for a 10% reflectivity target, the RS-Ruby is capable of obstacle perception from a long distance of 200 meters. Meanwhile, the sensor has achieved a perfect balance between the consistency and distinction of reflectivity, further facilitating accurate road sign extraction and localization.
The RS-BPearl, the first mass-produced short-range LiDAR for blind-spot detection, reaches the minimum detection range of less than several centimeters, with hemispheric FOV coverage of 90 ° * 360 °, which not only precisely identifies objects around the vehicle’s body, but can also detect the actual height information in particular scenarios, such as with bridge tunnels and culverts, further improving autonomous driving decisions and greatly improving car safety.
RS-Fusion-P5 has included 4 embedded RS-BPearl around the vehicle and one RS-Ruby on the top, making it the perfect multi-LiDAR fusion solution for Robo-Taxi. It is able to achieve full coverage of the sensing area with zero blind spots in the vehicle's driving space.