X Li, Z Sun, D Cao, Z He, Q Zhu - IEEE/ASME Transactions on …, 2015 - ieeexplore.ieee.org
This paper focuses on the real-time trajectory planning problem for autonomous vehicles driving in realistic urban environments. To solve the complex navigation problem, we adopt …
L Xiong, Z Fu, D Zeng, B Leng - Sensors, 2021 - mdpi.com
This paper proposes an optimized trajectory planner and motion planner framework, which aim to deal with obstacle avoidance along a reference road for autonomous driving in …
Z Zuo, X Yang, Z Li, Y Wang, Q Han… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we propose a progressive model predictive control scheme (PMPCS) by considering the cooperative control of local planning and path tracking for intelligent …
In this article, a novel approach of decision-making and motion control is designed for realizing safe and personalized driving of autonomous vehicles. A new lane-change …
G Du, Y Zou, X Zhang, Z Li, Q Liu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The autonomous vehicle is widely applied in various ground operations, in which motion planning and tracking control are becoming the key technologies to achieve autonomous …
With the aims of safe, smart and sustainable future mobility, a personalized approach of trajectory planning and control based on user preferences is developed for lane-change of …
A Said, R Talj, C Francis… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Trajectory planning is one of the most complex tasks that should be accomplished in order to ensure vehicle autonomous driving. Trajectory planning can be classified into local and …
S Glaser, B Vanholme, S Mammar… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
This paper presents the design and first test on a simulator of a vehicle trajectory-planning algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …
X He, D Xu, H Zhao, M Moze, F Aioun… - 2018 IEEE intelligent …, 2018 - ieeexplore.ieee.org
Trajectory planning has generally been framed as finding the lowest cost one from a set of trajectory candidates, where the cost function has been hand-crafted with carefully tuned …