Safety-assured speculative planning with adaptive prediction

X Liu, R Jiao, Y Wang, Y Han… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Recently significant progress has been made in vehicle prediction and planning algorithms
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …

Waving the double-edged sword: Building resilient cavs with edge and cloud computing

X Liu, Y Luo, A Goeckner, T Chakraborty… - 2023 60th ACM/IEEE …, 2023 - ieeexplore.ieee.org
The rapid advancement of edge and cloud computing platforms, vehicular ad-hoc networks,
and machine learning techniques have brought both opportunities and challenges for next …

Interactive trajectory planner for mandatory lane changing in dense non-cooperative traffic

X Liu, J Chen, S Li, Y Zhang, H Yu, F Huang… - arXiv preprint arXiv …, 2023 - arxiv.org
When the traffic stream is extremely congested and surrounding vehicles are not
cooperative, the mandatory lane changing can be significantly difficult. In this work, we …

Cloud and Edge Computing for Connected and Automated Vehicles

Q Zhu, B Yu, Z Wang, J Tang, QA Chen… - … and Trends® in …, 2023 - nowpublishers.com
The recent development of cloud computing and edge computing shows great promise for
the Connected and Automated Vehicle (CAV), by enabling CAVs to offload their massive on …

Safe and secure design of connected and autonomous vehicles

X Liu - 2023 - search.proquest.com
Abstract Machine learning-based techniques have shown great promises in perception,
prediction, planning, and general decision-making for improving task performance of …