the current local path planning algorithms are all planning the local path in the same plan-scope. Sometimes, this situation leads to a waste of time and computing resources. Therefore, in this article, a new path planning method called the variable planning size (VPS) for robot in static wo...
In global path planning, the environment is typically conceptualized as a geometric space and a comprehensive global map is usually constructed based on environmental elements. Moreover, the global path planning algorithms [3], [4], [5], [6] were used to calculate the optimal path from the ...
This study proposes a novel velocity-adaptive 3D local path planning algorithm (3DLPP) for single unmanned aerial vehicle (UAV) flying along a reference trajectory with obstacle collision avoidance (CA) in realtime. In the local path planning, local path candidates are generated in three-dimensiona...
Path planning algorithms in the autonomous driving system: A comprehensive review 2024, Robotics and Autonomous Systems Citation Excerpt : The results proved that the TCSC algorithm outperformed the sampling-based path algorithm introduced in [168]. Nevertheless, the algorithm does not consider the uncer...
a collision-free path [1]. 2 Local path planning algorithms require sensors to detect obstacles. Among the suite of possible sensors, a video camera is cheap and lightweight and fits the physical requirements for small UAVs [1]. However, because of projective ...
will likely become invalid in the future and continuous replanning is necessary. The robots of the RoboCup Standard Platform League are equipped with limited computational resources, but have to perform many parallel tasks with real-time requirements. Consequently, path planning algorithms have to be ...
Since the local path planning is the basis for safety navigation and all kinds of complex tests of the SPM, many methods and algorithms have been researched. The Morphin algorithm is a typical one (Simmons et al., 1996. Larson et al., 2006.), and it is based on a grid model ...
Accurate trajectory prediction of surrounding vehicles enables lower risk path planning in advance for autonomous vehicles, thus promising the safety of automated driving. A low-risk and high-efficiency path planning approach is proposed for autonomous driving based on the high-performance and practical ...
2. Related work Geometric planning: Classic planning algorithms such as A* [17] D* [40], PRM [23], and RRT* [22] usually as- sume static scene geometry and focus on efficiently find- ing the shortest collision-free path within the navigable freespace. A com...
A new meta-heuristic optimizer: pathfinder algorithm. Appl Soft Comput J. 2019 May;78: 545–568. 34. Hayyolalam V, Kazem AAP. Black widow optimization algorithm: a novel meta-heuristic approach for solving engineering optimization problems. Eng Appl Artif Intell. 2020 Jan;87: 103249. 35....