W Zhan, L Sun, D Wang, H Shi, A Clausse… - arXiv preprint arXiv …, 2019 - arxiv.org
Behavior-related research areas such as motion prediction/planning, representation/ imitation learning, behavior modeling/generation, and algorithm testing, require support from …
C Pek, S Manzinger, M Koschi, M Althoff - Nature Machine Intelligence, 2020 - nature.com
Ensuring that autonomous vehicles do not cause accidents remains a challenge. We present a formal verification technique for guaranteeing legal safety in arbitrary urban traffic …
S Manzinger, C Pek, M Althoff - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
The computational effort of trajectory planning for automated vehicles often increases with the complexity of the traffic situation. This is particularly problematic in safety-critical …
J Chen, W Zhan, M Tomizuka - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Motion planning is a core technique for autonomous driving. Nowadays, there still exists a lot of challenges in motion planning for autonomous driving in complicated environments …
W Ding, L Zhang, J Chen, S Shen - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we present an efficient planning system for automated vehicles in highly interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
Z Gu, L Gao, H Ma, SE Li, S Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reinforcement learning (RL) has shown excellent performance in the sequential decision- making problem, where safety in the form of state constraints is of great significance in the …
L Sun, C Peng, W Zhan… - Dynamic Systems …, 2018 - asmedigitalcollection.asme.org
Safety and efficiency are two key elements for planning and control in autonomous driving. Theoretically, model-based optimization methods, such as Model Predictive Control (MPC) …
In this study, we concisely investigate two phases in the hybrid A-star algorithm for non- holonomic robots: the forward search phase and analytic expansion phase. The forward …