RoboSense RS-V2X combines hard-core technologies in excellent LIDAR sensor hardware and Al point cloud Perception Software 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.
FUNCTIONS
Rich and flexible functions
Multi base-station & multi
The RS-V2X 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.
Electronic Fence
Through RS-V2X, 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.
Traffic participants Flow
RoboSense's accurate and reliable AI Perception Software allows more than ten traffic scene functions including traffic flow statistics, vehicle speed detection, retrograde detection, pedestrians red-light running, etc.
LiDAR And Camera Fusion
Based on the RoboSense fusion technology of LiDAR and camera, the RS-V2X 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).
VERTICAL
RS-V2X Vertical Mounting Scheme
The roadside vertical poles (such as street lamp poles) + The RoboSense mechanical LiDAR
Main composition
Sensor hardware
- RS-LiDAR-16、
- RS-LiDAR-32
- 、RS-Ruby
- 、RS-Ruby Lite
- 、RS-Bpearl
AI Perception Software
- RS-LiDAR-Perception
HORIZONTAL
RS-V2X Horizontal Mounting Scheme
The roadside horizontal poles (such as the horizontal traffic signal light poles) + MEMS solid-state LiDAR
Main composition
Sensor hardware
- RS-LiDAR-M1
AI Perception Software
- RS-LiDAR-Perception