Robots and autonomous vehicles can use 3D point clouds from ... various ways in which accurate 3D object detection methods could improve our lives. Self-driving cars, which rely on such techniques ...

Korea have now developed a smart IoT-enabled end-to-end system for 3D object detection in real time based on deep learning and specialized for autonomous driving situations. "For autonomous ...

3D object detection (3DOD) is central to real-world vision systems and a critical component in the development of perception capabilities for autonomous vehicles (AVs) and mobile autonomous robots.

Researchers have unveiled a novel 3D method to track fast-moving objects at speeds previously ... revolutionize various fields, including autonomous driving, industrial inspection, and security ...

A DGIST team developed PINMAP, a cost-effective algorithm enabling low-cost LiDAR sensors to detect glass obstacles, ...

The car, which the driver says was engaged in Tesla’s driver-assist Full-Self Driving (FSD ... and play on deep underlying anxieties around autonomous vehicle safety. Less than one in four ...

A collaboration between Calyo, Benedex Robotics and Cranfield University is set to improve safety in self-driving ... to allow autonomous vehicles to detect their surroundings in 3D in real time, ...

We believe that the Company's existing 3D perception ... in autonomous vehicles. By developing advanced vision technologies that provide precise environmental mapping and object detection ...