Modern autonomous driving system is characterized as modular tasks in sequential order, ie, perception, prediction, and planning. In order to perform a wide diversity of tasks and …
H Shao, L Wang, R Chen, H Li… - Conference on Robot …, 2023 - proceedings.mlr.press
Large-scale deployment of autonomous vehicles has been continually delayed due to safety concerns. On the one hand, comprehensive scene understanding is indispensable, a lack of …
H Shao, Y Hu, L Wang, G Song… - Proceedings of the …, 2024 - openaccess.thecvf.com
Despite significant recent progress in the field of autonomous driving modern methods still struggle and can incur serious accidents when encountering long-tail unforeseen events …
H Shao, L Wang, R Chen… - Proceedings of the …, 2023 - openaccess.thecvf.com
The large-scale deployment of autonomous vehicles is yet to come, and one of the major remaining challenges lies in urban dense traffic scenarios. In such cases, it remains …
X Jia, P Wu, L Chen, J Xie, C He… - Proceedings of the …, 2023 - openaccess.thecvf.com
End-to-end autonomous driving has made impressive progress in recent years. Existing methods usually adopt the decoupled encoder-decoder paradigm, where the encoder …
The autonomous driving community has witnessed a rapid growth in approaches that embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …
End-to-end driving systems have recently made rapid progress, in particular on CARLA. Independent of their major contribution, they introduce changes to minor system …
End-to-end autonomous driving aims to build a fully differentiable system that takes raw sensor data as inputs and directly outputs the planned trajectory or control signals of the ego …
Y Tian, X Li, H Zhang, C Zhao, B Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Diverse transport demands have resulted in the wide existence of heterogeneous vehicle automation systems. While these systems have demonstrated effectiveness, they also pose …