Dynamic Path Planning Based on Fuzzy and Behavior Control Idea

2014 ◽  
Vol 7 (12) ◽  
pp. 189-198 ◽  
Author(s):  
Yanmin Lei ◽  
Xiaoxue Xing ◽  
Zhibin Feng ◽  
Xiuli Guan ◽  
Du Limin
Keyword(s):  
Path Planning ◽  
Behavior Control ◽  
Dynamic Path Planning ◽  
Dynamic Path ◽  
And Behavior

scholarly journals Global Dynamic Path Planning Fusion Algorithm Combining Jump-A* Algorithm and Dynamic Window Approach

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 19632-19638
Author(s):  
Lisang Liu ◽  
Jinxin Yao ◽  
Dongwei He ◽  
Jian Chen ◽  
Jing Huang ◽  
...  
Keyword(s):  
Path Planning ◽  
A Algorithm ◽  
Fusion Algorithm ◽  
Global Dynamic ◽  
Dynamic Path Planning ◽  
Dynamic Path ◽  
Window Approach

Dynamic Path Planning Algorithm Based on Chaos Genetic Vehicle Navigation

2011 ◽  
Vol 142 ◽  
pp. 12-15
Author(s):  
Ping Feng
Keyword(s):  
Path Planning ◽  
Search Algorithm ◽  
Traffic Condition ◽  
Planning Time ◽  
Dynamic Path Planning ◽  
Short Period ◽  
Planning Algorithm ◽  
Dynamic Path ◽  
Path Planning Algorithm ◽  
Chaos Genetic Algorithm

The paper puts forward the dynamic path planning algorithm based on improving chaos genetic algorithm by using genetic algorithms and chaos search algorithm. In the practice of navigation, the algorithm can compute at the best path to meet the needs of the navigation in such a short period of planning time. Furthermore,this algorithm can replan a optimum path of the rest paths after the traffic condition in the sudden.

Research on Dynamic Path Planning Algorithm of UAV

2021 ◽  
Author(s):  
Xiujie Yang ◽  
Zhenjun Du ◽  
Deyu Zhang ◽  
Haolei Sun
Keyword(s):  
Path Planning ◽  
Dynamic Path Planning ◽  
Planning Algorithm ◽  
Dynamic Path ◽  
Path Planning Algorithm

scholarly journals Local Dynamic Path Planning for an Ambulance Based on Driving Risk and Attraction Field

2021 ◽  
Vol 13 (6) ◽  
pp. 3194
Author(s):  
Fang Zong ◽  
Meng Zeng ◽  
Yang Cao ◽  
Yixuan Liu
Keyword(s):  
Path Planning ◽  
Potential Field ◽  
Velocity Potential ◽  
Attractive Potential ◽  
Local Dynamic ◽  
Repulsive Potential ◽  
Ambulance Personnel ◽  
Lane Changing ◽  
Dynamic Path Planning ◽  
Dynamic Path

Path planning is one of the most important aspects for ambulance driving. A local dynamic path planning method based on the potential field theory is presented in this paper. The potential field model includes two components—repulsive potential and attractive potential. Repulsive potential includes road potential, lane potential and obstacle potential. Considering the driving distinction between an ambulance and a regular vehicle, especially in congested traffic, an adaptive potential function for a lane line is constructed in association with traffic conditions. The attractive potential is constructed with target potential, lane-velocity potential and tailgating potential. The design of lane-velocity potential is to characterize the influence of velocity on other lanes so as to prevent unnecessary lane-changing behavior for the sake of time-efficiency. The results obtained from simulation demonstrate that the proposed method yields a good performance for ambulance driving in an urban area, which can provide support for designing an ambulance support system for the ambulance personnel and dispatcher.

An Fusion Algorithm of Improved A* and IDWA for Dynamic Path Planning

2021 ◽  
Author(s):  
Fu Qiang ◽  
Jiang Wei ◽  
Fenghua Ren ◽  
Yuanfa Ji
Keyword(s):  
Path Planning ◽  
Fusion Algorithm ◽  
Dynamic Path Planning ◽  
Dynamic Path

Dynamic path planning of USV with towed safety boundary in complex ocean environment

2021 ◽  
Author(s):  
Rui Chen ◽  
Chunxi Yang ◽  
Shichang Han ◽  
Jian Zheng
Keyword(s):  
Path Planning ◽  
Dynamic Path Planning ◽  
Dynamic Path ◽  
Ocean Environment ◽  
Safety Boundary

scholarly journals 2D-Span Resampling of Bi-RRT in Dynamic Path Planning

2015 ◽  
Vol 4 (4) ◽  
pp. 39-48 ◽  
Author(s):  
Lin Hsien-I
Keyword(s):  
Path Planning ◽  
Dynamic Path Planning ◽  
Dynamic Path
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