… concepts of trajectory planning in unstructured scenarios. Inherently, trajectory planning is
a … optimization perspective to review all trajectory planning methods. We provide a detailed …

… When the planner failed to find a trajectory in time, its time … several seconds in particularly
challenging scenarios) and it was … Eg, we had the planner generate paths through the scenario …

… optimization-based trajectory planning method has been … the unstructured scenarios. By
integrating the MCTS and deep learning, this study established a planner to find the coarse path …

… model predictive trajectory planning controller for automated driving in unstructured, dynamic
… algorithm for successful obstacle avoidance in various complex unstructured scenarios. …

… This paper investigates the motion planning of car-like robots in unstructured scenarios,
a hybrid motion planning approach called TEB-PF is proposed and applied to the Ackerman …

… In general, the scenes [5] of motion planning consist of two … scenarios [6]–[10] and the
unstructured scenarios. This paper deals with the motion planning problem for unstructured and …

… of the prior knowledge of particular scenarios [18] or sequentially … lot scenarios, such as
[19], which requires parking guidance knowledge [20]. It is inapplicable to unstructured scenarios …

… environment, this paper presents an environment description method combining global …
The path planning problem of autonomous vehicle in unstructured scenes is studied in this work. …

… of these methods, such as the application scenarios and limitations. Bai et … path planning
from the perspective of vision methods. Wijayathunga et al. [25] summarized the path planning …

… an optimized trajectory planner and motion planner framework, … for autonomous driving in
unstructured environments. The … the proposed method to more dynamic road traffic scenarios. …