Using On-line Simulation for Adaptive Path Planning of UAVs

Author(s):  
Farzad Kamrani ◽  
Rassul Ayani
Keyword(s):  
2019 ◽  
pp. 582-608
Author(s):  
Diego Alexander Tibaduiza Burgos ◽  
Maribel Anaya Vejar

This chapter presents the development and implementation of three approaches that contribute to solving the mobile robot path planning problems in dynamic and static environments. The algorithms include some items regarding the implementation of on-line and off-line situations in an environment with static and mobile obstacles. A first technique involves the use of genetic algorithms where a fitness function and the emulation of the natural evolution are used to find a free-collision path. The second and third techniques consider the use of potential fields for path planning using two different ways. Brief descriptions of the techniques and experimental setup used to test the algorithms are also included. Finally, the results applying the algorithms using different obstacle configurations are presented and discussed.


2014 ◽  
Vol 577 ◽  
pp. 417-420
Author(s):  
Hai Tao Zhang ◽  
Wei Li ◽  
Xing Wei Guo ◽  
Lei Zhao ◽  
Yu Kun Zhang ◽  
...  

The key part of the deep sea product system has high demand for the detecting system. The paper makes deep research in extracting the detection feature information of the facilities, path planning, data processing. Improve the detecting efficiency and the detecting precision.


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