Three-dimensional object detection is crucial for autonomous vehicles. It utilizes point cloud data generated by LiDAR to ...

Read this article online. 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 ...

A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems , 2023; 24 (11): 13078 DOI: 10.1109/TITS.2022.3210490 ...

Instead, Zhou and Tuzel propose the implementation of a trainable deep architecture for point cloud based 3D detection. The framework, called VoxelNet, uses voxel feature encoding (VFE) layers to ...

Duke PhD student Ze Wang and professors Qiang Qiu and Guillermo Sapiro, in collaboration with Volvo Cars, have received the best paper award of the International Conference on Computer Vision’s ...

FMCW lidar detects objects by scanning laser light from the top of an autonomous vehicle. A single laser beam splits into a comb of other wavelengths, called a microcomb, to scan an area. Light ...

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.