RoboSense has launched a developed and complete LiDAR perception solution for Robo Taxi (RS-Fusion-P5) in markets outside of China.
The RS-Fusion-P5 was first launched in China last month. Equipped with an RS-Ruby and four RS-BPearl, the RS-Fusion-P5 is the alternative to Waymo's LiDAR solution, further accelerating the development of Robo Taxi.
RoboSense RS-Fusion-P5 uses an RS-Ruby on top of the vehicle to ensure a sensing range with a radius of more than 200 meters (656 feet). However, even if the vertical field of view (FOV) of RS-Ruby reaches the perfect angles from –25 degrees to +15 degrees, there is still a small blind zone around the vehicle body. Therefore, to cover the small blind zone, 4 RS-BPearl embedded sideways around the vehicle form a hemisphere FOV scanning area relative to the vehicle's perspective to guarantee a complete 360° surrounding view.
The RS-Fusion-P5 solution fuses point clouds from RS-Ruby and RS-BPearl in real-time, and generates laser points of more than 4,600,000pts per second.
Through its advanced AI perception algorithms, multi-sensor fusion and synchronization interfaces, vehicles can identify all-around obstacles and position easily and precisely.
RS-Ruby achieves the anti-interference of multiple LiDAR using special laser encryption technology to filter interference signals and it is not affected by direct sunlight, with Its LiDAR reflection intensity reaching a balance of consistency and distinction.
The embedded four RS-BPearl form a hemispherical FOV coverage of 90 degrees and 360 degrees which not only can precisely identify objects around the vehicle body such as pets, children, roadbeds as well as other details of the near-field ground area, but also detect the actual height information under particular scenarios such as bridge tunnels and culverts, further supporting autonomous vehicles for driving decision making and greatly improving car safety.
The RS-Fusion-P5 can reach a 200-meter (656-foot) detection range, 0.1 degree high-precision resolution with full coverage and zero blind spots in the sensing zone.
