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Enables increased accuracy in measurements and smaller blind zones for navigation of autonomous driving systems around obstacles Autonomous driving systems need to carefully deal with various traffic scenarios under changing road conditions, which requires LiDAR to dynamically adjust the...
The sensor adapts to all weather conditions for intelligent vehicles and proves reliable perception performance under low-visibility RoboSense has released a sensing performance test video of the automotive-grade solid-state LiDAR RS-LiDAR-M1 (the SOP version) under extremely challenging snowy cold...
Smart data collection tools help efficiently evaluate LiDAR and multi-sensor fusion sensing system performance Built by RoboSense for LiDARs and multi-sensor fusion systems, the RS-Reference 2.1 is a ground truth data system and an evaluation toolchain that has an...

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