RoboSense joins partners to launch smart sensor systems at Shanghai Auto Show
RoboSense announced at the Shanghai Auto Show that it has teamed up with partners Horizon Robotics, Cainiao Network, Sensible 4, and AutoX to launch the Smart Sensor System (SSS) designed for four smart transportation vehicle applications: autonomous passenger cars, low-speed autonomous vehicles, high-speed robotaxis, and V2R (vehicle-to-road infrastructure). The RoboSense Smart Sensor System combines new LiDAR hardware, AI point cloud algorithms, and an IC design.
RoboSense's two new LiDAR products are the RS-Bpearl, a super-wide-angle blind-spot LiDAR, and the RS-Ruby, a super-high-resolution LiDAR. In addition, RoboSense unveiled its final mass production-ready design of its award-winning RS-LiDAR-M1 automotive grade solid-state LiDAR smart sensor system with embedded perception algorithms, which it says will be mass produced in 2021.
The Smart Sensor System combines the RoboSense RS-LiDAR-M1 MEMS-based smart sensor with the RS-Bpearl super-wide-angle blind-spot LiDAR; RS-Ruby super-high-resolution LiDAR; and RoboSense AI perception algorithms. RoboSense chose MEMS technology and 905 nm lasers for its solid-state LiDAR system. The new RS-LiDAR-M1 now meets OEM requirements and is designed to deliver safety for L3+ autonomous passenger cars, provide highway applications for TJP (traffic jam pilot), and HWP (highway pilot).
Available in 2021, the final mass production version of the RoboSense RS-LiDAR-M1 for OEMs will be a smart sensor. RoboSense and Horizon Robotics reached an initial intention of cooperation to build customized chips for the LiDAR environment perception algorithm: the RS-LiDAR-Algorithms. These algorithms will be integrated into the IC and embedded in the LiDAR hardware. The RS-LiDAR-M1 will provide 3D point cloud data interpretation and output target level environment perception results in real time to autonomous vehicles.
“Algorithms require an independent ECU for the operation. OEMs must include algorithms for consumer safety by integrating these algorithms into the sensor’s hardware. The RS-LiDAR-M1 is the perfect hardware and software integrated system and data ‘interpreter’ for these needs,” said RoboSense COO Mark Qiu.
RoboSense has teamed with Alibaba’s Cainiao Network to produce the new Smart Sensor System for unmanned low-speed vehicles with a virtual blind spot-free super wide-angle LiDAR: the RS-Bpearl. The RS-Bpearl has a super wide FOV of 360°×90°, within the detection range of 30 m (10%) for a 10 cm blind spot. The size of the sensor is intended to make it easy to apply to the side of the vehicle body to fully detect the vehicle’s surroundings, including blind spots. The RS-Bpearl’s modular design also reduces cost while adding the ability for flexible customization.
RoboSense’s new 128 beam LiDAR, the RS-Ruby, has a 3x higher 0.1° resolution and a three-times longer detection range compared with the previous version RS-LiDAR-32. RoboSense’s new Smart Sensor System for Robotaxis provides an environment perception solution that employs one RS-Ruby LiDAR as the core sensor on top of the vehicle to cover the 360° overall perception, and two RS-Bpearl LiDARs on the sides of the car’s hood to detect blind spots.
RoboSense has also partnered with Sensible 4 to launch an autonomous shuttle bus for all weather conditions, the GACHA. Equipped with RoboSense’s advanced cold-resistant 16-beam mechanical LiDAR environment perception system that operates in temperatures as low as 30°C (-22°F), which previously would incapacitate components. RoboSense says its all-weather LiDAR works on snow- and ice-covered roads in harsh winter and other severe weather conditions.