3D object detection for autonomous driving: A comprehensive survey

J Mao, S Shi, X Wang, H Li - International Journal of Computer Vision, 2023 - Springer
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …

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 …

V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception

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 …

V2x-vit: Vehicle-to-everything cooperative perception with vision transformer

R Xu, H Xiang, Z Tu, X Xia, MH Yang, J Ma - European conference on …, 2022 - Springer
In this paper, we investigate the application of Vehicle-to-Everything (V2X) communication to
improve the perception performance of autonomous vehicles. We present a robust …

Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication

R Xu, H Xiang, X Xia, X Han, J Li… - … Conference on Robotics …, 2022 - ieeexplore.ieee.org
Employing Vehicle-to-Vehicle communication to enhance perception performance in self-
driving technology has attracted considerable attention recently; however, the absence of a …

Cobevt: Cooperative bird's eye view semantic segmentation with sparse transformers

R Xu, Z Tu, H Xiang, W Shao, B Zhou, J Ma - arXiv preprint arXiv …, 2022 - arxiv.org
Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for
autonomous driving. Although recent literature has made significant progress on BEV map …

V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting

H Yu, W Yang, H Ruan, Z Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Utilizing infrastructure and vehicle-side information to track and forecast the behaviors of
surrounding traffic participants can significantly improve decision-making and safety in …

Learning distilled collaboration graph for multi-agent perception

Y Li, S Ren, P Wu, S Chen, C Feng… - Advances in Neural …, 2021 - proceedings.neurips.cc
To promote better performance-bandwidth trade-off for multi-agent perception, we propose a
novel distilled collaboration graph (DiscoGraph) to model trainable, pose-aware, and …

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 …

Spatio-temporal domain awareness for multi-agent collaborative perception

K Yang, D Yang, J Zhang, M Li, Y Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Multi-agent collaborative perception as a potential application for vehicle-to-everything
communication could significantly improve the perception performance of autonomous …