It classifies object detection algorithms based on multimodal fusion of point clouds, images, and combinations of both. Furthermore, we analyze the strengths and weaknesses of various methods ...

In our moving vehicle scenarios, we achieve a 92.7% success rate removing 90% of a target obstacle’s cloud points. Finally, we demonstrate the attack’s success against two popular defenses against ...

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

Then in a process known as "rendering," the 3D point cloud can then be viewed from any angle and turned into a 2D photo that shows the edited object as if the photo was taken from that angle in ...

Enhanced with the hyper scalability of the AWS cloud, SpotlightAI™ can securely generate detailed, high-resolution orthomosaic maps highlighting objects of interest and can plot detection ...