Velocity-based lidar segmentation separates particulate matter from solid objects, improving autonomous driving path decisions in low-visibility conditions.
By comparing image-based position estimates with commanded motion, this case calculates wind acting on a drone for stable flight in variable conditions.
Velocity, spatial, and intensity analysis helps lidar separate fog, dust, and mist from solid objects for safer AV path planning.
A tilted narrow-FOV camera improves disparity for features ahead, boosting 3D structure and pose estimation in mobile robot SLAM.