RoboSense Wins CES 2020 Innovation Award for Autonomous Vehicle Technology

RoboSense http://www.robosense.ai, the world’s leading 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. RoboSense won this year’s CES 2020 Innovation Award for the first MEMS-based Smart LiDAR Sensor, the RoboSense RS-LiDAR-M1, winning in the Vehicle Intelligence and Self-Driving Technology category.

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The RoboSense award-winning RS-LiDAR-M1 is the world’s first and only MEMS-based smart LiDAR sensor for self-driving passenger vehicles with its own embedded AI algorithm technologies and SoC(System on a Chip). The RS-LiDAR-M1 goes beyond traditional LiDAR, providing full data collection and comprehension. As a ground-breaking product, the RS-LiDAR-M1 not only 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. Also, it is the world’s smallest MEMS-based solid-state LiDAR, providing 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. The complete list of CES 2020 Innovation Honorees, including product descriptions and photos, can be found at CES.tech/Innovation. RoboSense will be exhibiting at booth 6138, LVCC North Hall, CES 2020 from Jan. 7 – 10, 2020, and tabletop No. 602 at CES Unveiled Las Vegas, on Jan. 5, 2020, 5 – 8:30 p.m. PST.

About CES & CES Innovation Awards

An annual program that celebrates outstanding design, the CES Innovation Awards recognizes the best technology products of the year. The CES Innovation Awards are sponsored by the Consumer Technology Association (CTA)™, owner and producer of CES, the world’s largest and most influential technology event.

CES 2020 will showcase life-changing technology across every major industry. CES provides 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. For the latest news and show announcements, visit CES.tech. Follow CES online at CES.tech and on social.

About RoboSense

Founded in 2014, RoboSense is the world’s leading provider of LiDAR environment perception solutions designed to provide a higher performance, safer, more reliable, and lower cost LiDAR system for autonomous vehicles. RoboSense has entered into strategic partnerships with many top car companies, tier one manufacturers and technology companies with a global reach. For more information about RoboSense, visit: https://www.robosense.ai

Photos:

CES 2020 Innovation Award Honoree Logo: http://www.thomas-pr.com/136/photos/robosenseces2020innovationawardlogo.html
RS-LiDAR-M1 Smart LiDAR Sensor: http://www.thomas-pr.com/136/photos/robosensem1lidar.html
RoboSense Logo: http://www.thomas-pr.com/136/photos/robosenselogo.html

View source version on businesswire.com: https://www.businesswire.com/news/home/20191108005194/en/

Contact information

Press:
Karen Thomas/Eva Yutani
Emails: kthomas@thomaspr.com / eyutani@thomaspr.com
(631) 549-7575 website: http://www.thomaspr.com

Company:
Cassie Gong, Overseas PR Manager
Email: sqgong@robosense.cn