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 …

A survey of collaborative perception in intelligent vehicles at intersections

X Gao, X Zhang, Y Lu, Y Huang, L Yang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
As an important component of intelligent transportation systems, collaborative perception
has made great progress in recent years. In collaborative perception, multiple devices rely …

EdgeCooper: Network-aware cooperative LiDAR perception for enhanced vehicular awareness

G Luo, C Shao, N Cheng, H Zhou… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Autonomous driving vehicle (ADV) that is ready to transform our society and economy, is in
desperate need of precise positioning over itself as well as surrounding environments …

Latency-aware collaborative perception

Z Lei, S Ren, Y Hu, W Zhang, S Chen - European Conference on …, 2022 - Springer
Collaborative perception has recently shown great potential to improve perception
capabilities over single-agent perception. Existing collaborative perception methods usually …

Coopernaut: End-to-end driving with cooperative perception for networked vehicles

J Cui, H Qiu, D Chen, P Stone… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Optical sensors and learning algorithms for autonomous vehicles have dramatically
advanced in the past few years. Nonetheless, the reliability of today's autonomous vehicles …

VIPS: Real-time perception fusion for infrastructure-assisted autonomous driving

S Shi, J Cui, Z Jiang, Z Yan, G **ng, J Niu… - Proceedings of the 28th …, 2022 - dl.acm.org
Infrastructure-assisted autonomous driving is an emerging paradigm that expects to
significantly improve the driving safety of autonomous vehicles. The key enabling …

Model-assisted learning for adaptive cooperative perception of connected autonomous vehicles

K Qu, W Zhuang, Q Ye, W Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cooperative perception (CP) is a key technology to facilitate consistent and accurate
situational awareness for connected and autonomous vehicles (CAVs). To tackle the …

Extend your own correspondences: Unsupervised distant point cloud registration by progressive distance extension

Q Liu, H Zhu, Z Wang, Y Zhou… - Proceedings of the …, 2024 - openaccess.thecvf.com
Registration of point clouds collected from a pair of distant vehicles provides a
comprehensive and accurate 3D view of the driving scenario which is vital for driving safety …

Autocast: Scalable infrastructure-less cooperative perception for distributed collaborative driving

H Qiu, P Huang, N Asavisanu, X Liu, K Psounis… - arxiv preprint arxiv …, 2021 - arxiv.org
Autonomous vehicles use 3D sensors for perception. Cooperative perception enables
vehicles to share sensor readings with each other to improve safety. Prior work in …

A networking perspective on starlink's self-driving leo mega-constellation

Y Li, H Li, W Liu, L Liu, W Zhao, Y Chen, J Wu… - Proceedings of the 29th …, 2023 - dl.acm.org
Low-earth-orbit (LEO) satellite mega-constellations, such as SpaceX Starlink, are under
rocket-fast deployments and promise broadband Internet to remote areas that terrestrial …