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 ...

LiDAR is one of the most discussed and deployed 3D imaging techniques for AoT™ (Autonomy of Things) applications which includes autonomous vehicles (AV), Advanced Driver Assistance Systems (ADAS ...

Cepton announces the release its proprietary lidar point cloud processor ASIC chip, named . Cepton Expands Proprietary Chipset for Automotive Lidar with New Advanced Point Cloud Processor ASIC.

On April 22, the same day Tesla held its autonomy event, a trio of Cornell researchers published a research paper that offered some support for Musk's claims about lidar. Using nothing but stereo ...

In particular, trajectory recovery based on lidar point-cloud matching can provide valuable input to the navigation filter. Lidar/INS integrated navigation systems may provide continuous and fairly ...

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, ...

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 ...

MATCHING LIDAR, 3D MODEL. We generate our 3D city model using data from two sources: Illinois Geospatial Data Clearinghouse and OSM. The Illinois Geospatial Data were collected by a fixed-wing ...