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RoboSense RS-V2R combines hard-core technologies in excellent LIDAR sensor hardware and Al point cloud algorithms to provide the autonomous vehicles with eyes from the sky to break the limits of conventional environment perception systems of autonomous driving, facilitating the rapid development of new infrastructure for Intelligent transportation and ensuring the safety of Autonomous Driving.
The RS-V2R solution provides the target-level fusion function of the LiDAR sensing results based on a multi-base station, and realizes the precise spatial-temporal synchronization of the LiDAR point cloud of the multi-base station, so that all base stations are integrated into a spatial-temporal synchronized whole.
Through RS-V2R, users can set dynamic electronic fences of any shape according to traffic scenarios and functional requirements, and define independent functions for each fence, such as specific target filtering, customized communications, etc.
RoboSense's accurate and reliable AI algorithm allows more than ten traffic scene functions including traffic flow statistics, vehicle speed detection, retrograde detection, pedestrians red-light running, etc.
Based on the RoboSense fusion technology of LiDAR and camera, the RS-V2R provides the bottom layer data fusion function of LiDAR and camera to obtain real-time synchronized true color point cloud data (x, y, z, r, g, b).
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