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.

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 ...

A Smart IoT Enabled End-to-End 3D Object Detection System for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems , 2022; 1 DOI: 10.1109/TITS.2022.3210490 Cite This Page : ...

Three-dimensional object detection is crucial for autonomous vehicles. It utilizes point cloud data generated by LiDAR to help autonomous vehicles identify surrounding objects. This technology is ...

The nuScenes dataset provides rich annotation information such as 2D and 3D object annotation, LiDAR point cloud segmentation, and high-precision maps, including 1,000 scenes, 1.4 million camera ...

Autonomous driving shares some requirements with the corner fill application. It needs to be fast, i.e., it needs to detect objects, such as pedestrians and other cars, in nearly real-time. It needs ...

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.