Deepening of Smart Transportation “New Infrastructure”
Relying on NVIDIA Jetson Orin hardware development platform which features small size, excellent computing power-consumption ratio and mature and complete CUDA® and TensorRT software tool chains, RoboSense launched RS-Cube 2.0 LiDAR perception software solution, which is of high cost performance, easy to carry and install, plug and play. It supports flexible integrated applications of multiple LiDARs simultaneously, boosting the R&D, testing and rapid commercial implementation of medium and low-speed autonomous driving applications.
Artificial Intelligence (AI) best empowers intelligent vehicle testing and evaluation
What if we apply autonomous driving LiDAR to AGV?
Point Cloud Quality Is The Key Criteria in Evaluating LiDAR Performance
LiDAR based perception solution increases the accuracy of the AGV based truck loading/unloading systems
Why RS-Ruby is the top LiDAR in advanced autonomous driving perception, positioning and mapping？
Does LIDAR meet industry expectations?
Fusion of Primary and Auxiliary LiDAR，Adding LiDARs “As Much As Possible”and Specialized LiDAR to Achieve Blind Spots Full Coverage
The Five Key Aspects Of A Mass-Production-Ready, Automotive-Grade, Solid-State LiDAR