Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving

Y Tian, J Wang, Y Wang, C Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …

Collaborative perception in autonomous driving: Methods, datasets, and challenges

Y Han, H Zhang, H Li, Y Jin, C Lang… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Collaborative perception is essential to address occlusion and sensor failure issues in
autonomous driving. In recent years, theoretical and experimental investigations of novel …

V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving

Y Li, D Ma, Z An, Z Wang, Y Zhong… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication techniques enable the collaboration between
vehicles and many other entities in the neighboring environment, which could fundamentally …

RORNet: Partial-to-partial registration network with reliable overlapping representations

Y Wu, Y Zhang, W Ma, M Gong, X Fan… - … on Neural Networks …, 2023 - ieeexplore.ieee.org
Three-dimensional point cloud registration is an important field in computer vision. Recently,
due to the increasingly complex scenes and incomplete observations, many partial-overlap …

The OpenCDA open-source ecosystem for cooperative driving automation research

R Xu, H Xiang, X Han, X Xia, Z Meng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Advances in Single-vehicle intelligence of automated driving has encountered great
challenges because of limited capabilities in perception and interaction with complex traffic …

Rcooper: A real-world large-scale dataset for roadside cooperative perception

R Hao, S Fan, Y Dai, Z Zhang, C Li… - Proceedings of the …, 2024 - openaccess.thecvf.com
The value of roadside perception which could extend the boundaries of autonomous driving
and traffic management has gradually become more prominent and acknowledged in recent …

Multi-sensor Fusion and Cooperative Perception for Autonomous Driving: A Review

C Xiang, C Feng, X Xie, B Shi, H Lu… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Autonomous driving (AD), including single-vehicle intelligent AD and vehicle–infrastructure
cooperative AD, has become a current research hot spot in academia and industry, and …

V2X cooperative perception for autonomous driving: Recent advances and challenges

T Huang, J Liu, X Zhou, DC Nguyen… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate perception is essential for advancing autonomous driving and addressing safety
challenges in modern transportation systems. Despite significant advancements in computer …

Towards vehicle-to-everything autonomous driving: A survey on collaborative perception

S Liu, C Gao, Y Chen, X Peng, X Kong, K Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Vehicle-to-everything (V2X) autonomous driving opens up a promising direction for
developing a new generation of intelligent transportation systems. Collaborative perception …

A survey on autonomous driving datasets: Data statistic, annotation, and outlook

M Liu, E Yurtsever, X Zhou, J Fossaert, Y Cui… - arXiv preprint arXiv …, 2024 - arxiv.org
Autonomous driving has rapidly developed and shown promising performance with recent
advances in hardware and deep learning methods. High-quality datasets are fundamental …