Accurate perception is essential for advancing autonomous driving and addressing safety challenges in modern transportation systems. Despite significant advancements in computer …
R Xu, X Xia, J Li, H Li, S Zhang, Z Tu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Modern perception systems of autonomous vehicles are known to be sensitive to occlusions and lack the capability of long perceiving range. It has been one of the key bottlenecks that …
H Du, S Teng, H Chen, J Ma, X Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This letter reports on a TIV DHW (decentralized and hybrid workshop) that explores the prospective influence of ChatGPT on research and development in intelligent vehicles. To …
Z Meng, X Xia, R Xu, W Liu, J Ma - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
3D-LiDAR-based cooperative perception has been generating significant interest for its ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …
In 2014, IEEE Intelligent Transportation Systems Society established a Technical Committee on Transportation 5.0 with the mission of promoting and transforming the deployment of …
W Liu, M Hua, Z Deng, Z Meng, Y Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Localization is critical for automated vehicles as it provides essential position, velocity, and heading angle information to perform object tracking, trajectory prediction, motion planning …
Deep learning has been widely used in intelligent vehicle driving perception systems, such as 3D object detection. One promising technique is Cooperative Perception, which …
R Xu, J Li, X Dong, H Yu, J Ma - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Existing multi-agent perception algorithms usually select to share deep neural features extracted from raw sensing data between agents, achieving a trade-off between accuracy …