The automotive industry is utilizing LiDAR point cloud processing technologies for real-time object detection, 3D scene reconstruction, high-definition mapping, and semantic segmentation.

Cepton Inc CPTN released Komodo, its proprietary lidar point cloud processor Application-Specific Integrated Circuit (ASIC) chip. What Happened? Using the company’s ADAS lidar series production ...

Designed and developed by Cepton in California, manufactured on an automotive-qualified foundry line, Komodo is ready to ship in new lidar products to automotive OEMs starting Q2 2023 SAN JOSE ...

We mentioned before that the Cornell team achieved 66% accuracy on one version of the KITTI benchmark. Using the same algorithm on actual lidar point cloud data produced an accuracy of 86%.

Recent rapid advances in laser-based remote sensing technologies, including pulsed linear, array and flash lidar systems, have fostered the development of integrated navigation algorithms for lidar ...

The Phoenix Ranger-LR produces photorealistic 3D point cloud data collected efficiently over extensive regions, which for law enforcement purposes specifically, can provide greater context ...

The "point cloud" assembled by a lidar unit is of much higher detail than what radar can detect. Velodyne If you've seen a lidar unit on a development vehicle, you probably noticed it was pretty ...

Figure 4. Global pose estimation with the aid of 3D city model. (Left) shows the intial position guess (red dot, with term in red outlined box) and the onboard lidar point cloud pL projected on the ...