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 ...

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

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 ...

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 ...

Nov. 30, 2023 — Autonomous vehicles require object detection systems to navigate traffic and avoid obstacles on the road. However, current detection methods often suffer from diminished ...

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 ...

New research paper titled “Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving” from researchers at Uber. Abstract “We present an end-to-end method for object ...

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.