Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Interaction dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps
Behavior-related research areas such as motion prediction/planning, representation/
imitation learning, behavior modeling/generation, and algorithm testing, require support from …
imitation learning, behavior modeling/generation, and algorithm testing, require support from …
Using online verification to prevent autonomous vehicles from causing accidents
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 …
present a formal verification technique for guaranteeing legal safety in arbitrary urban traffic …
汽车自动驾驶关键技术研究进展.
彭育辉， 江铭， 马中原， 钟聪 - Journal of Fuzhou University, 2021 - search.ebscohost.com
人工智能和新一代信息技术的快速发展正推动汽车产品的智能化与网联化, 以革命性的变化推动
未来人们交通出行的变革. 当前, 在技术发展和产业探索实践的综合推动下, 汽车自动驾驶成为现 …
未来人们交通出行的变革. 当前, 在技术发展和产业探索实践的综合推动下, 汽车自动驾驶成为现 …
Autonomous driving motion planning with constrained iterative LQR
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 …
lot of challenges in motion planning for autonomous driving in complicated environments …
Using reachable sets for trajectory planning of automated vehicles
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 …
the complexity of the traffic situation. This is particularly problematic in safety-critical …
Epsilon: An efficient planning system for automated vehicles in highly interactive environments
In this article, we present an efficient planning system for automated vehicles in highly
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
[HTML][HTML] Improved analytic expansions in hybrid a-star path planning for non-holonomic robots
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 …
holonomic robots: the forward search phase and analytic expansion phase. The forward …
A fast integrated planning and control framework for autonomous driving via imitation learning
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) …
Theoretically, model-based optimization methods, such as Model Predictive Control (MPC) …
Analyzing the suitability of cost functions for explaining and imitating human driving behavior based on inverse reinforcement learning
Autonomous vehicles are sharing the road with human drivers. In order to facilitate
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …
interactive driving and cooperative behavior in dense traffic, a thorough understanding and …