Performance and challenges of 3D object detection methods in complex scenes for autonomous driving

K Wang, T Zhou, X Li, F Ren - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

Tumtraf v2x cooperative perception dataset

W Zimmer, GA Wardana, S Sritharan… - Proceedings of the …, 2024 - openaccess.thecvf.com
Cooperative perception offers several benefits for enhancing the capabilities of autonomous
vehicles and improving road safety. Using roadside sensors in addition to onboard sensors …

Vit-comer: Vision transformer with convolutional multi-scale feature interaction for dense predictions

C **a, X Wang, F Lv, X Hao… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract Although Vision Transformer (ViT) has achieved significant success in computer
vision it does not perform well in dense prediction tasks due to the lack of inner-patch …

Flow-based feature fusion for vehicle-infrastructure cooperative 3d object detection

H Yu, Y Tang, E **e, J Mao, P Luo… - Advances in Neural …, 2024 - proceedings.neurips.cc
Cooperatively utilizing both ego-vehicle and infrastructure sensor data can significantly
enhance autonomous driving perception abilities. However, the uncertain temporal …