Implementation and Analysis of Pattern Propagation Factor Based Radar Model for Path Planning
Various path planning algorithms assume space as free and obstacles, and it is widely used in the robotic field. In examples of flight objects, space cannot be simply divided as free and obstacles because a risk exposure factor in the sky is dramatically changed based on radar sites and earth terrai...
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| Veröffentlicht in: | Journal of intelligent & robotic systems 2019-12, Vol.96 (3-4), p.517-528 |
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| container_title | Journal of intelligent & robotic systems |
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| creator | Woo, Sang-Hyo Arman Shin, Jong-Jin Kim, Jingyu |
| description | Various path planning algorithms assume space as free and obstacles, and it is widely used in the robotic field. In examples of flight objects, space cannot be simply divided as free and obstacles because a risk exposure factor in the sky is dramatically changed based on radar sites and earth terrain. Previous researchers did not consider the risk exposure or used simple radar model to estimate the risk exposure. In this paper, a radar model based on pattern propagation factor is implemented to estimate the risk exposure. The model can simulate effects of terrain masking, 3D radar cross-section, refraction, and radar multipath, and compared paths with deterministic (Dijkstra’s algorithm), evolutionary (Discrete Genetic Algorithm), and Voronoi path planning methods. |
| doi_str_mv | 10.1007/s10846-018-0973-7 |
| format | Article |
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The model can simulate effects of terrain masking, 3D radar cross-section, refraction, and radar multipath, and compared paths with deterministic (Dijkstra’s algorithm), evolutionary (Discrete Genetic Algorithm), and Voronoi path planning methods.</description><identifier>ISSN: 0921-0296</identifier><identifier>EISSN: 1573-0409</identifier><identifier>DOI: 10.1007/s10846-018-0973-7</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Algorithms ; Artificial Intelligence ; Barriers ; Computer simulation ; Control ; Electrical Engineering ; Engineering ; Evolutionary algorithms ; Exposure ; Genetic algorithms ; Masking ; Mechanical Engineering ; Mechatronics ; Path planning ; Pattern analysis ; Product design ; Propagation ; Radar ; Radar cross sections ; Radar systems ; Risk ; Risk exposure ; Robotics ; Terrain</subject><ispartof>Journal of intelligent & robotic systems, 2019-12, Vol.96 (3-4), p.517-528</ispartof><rights>Springer Nature B.V. 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Journal of Intelligent & Robotic Systems is a copyright of Springer, (2019). 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| subjects | Algorithms Artificial Intelligence Barriers Computer simulation Control Electrical Engineering Engineering Evolutionary algorithms Exposure Genetic algorithms Masking Mechanical Engineering Mechatronics Path planning Pattern analysis Product design Propagation Radar Radar cross sections Radar systems Risk Risk exposure Robotics Terrain |
| title | Implementation and Analysis of Pattern Propagation Factor Based Radar Model for Path Planning |
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