Geodesic
Parallel navigation for 3-D autonomous vehicles
Kybernetika, Tome 59 (2023) no. 4, pp. 592-611 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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In this paper, parallel navigation is proposed to track the target in three-dimensional space. Firstly, the polar kinematics models for the vehicle and the target are established. Secondly, parallel navigation is derived by using polar kinematics models. Thirdly, cell decomposition method is applied to implement obstacle avoidance. Fourthly, a brief study is given on the influence of uncertainties. Finally, simulations are conducted by MATLAB. Simulation results demonstrate the effectiveness of the parallel navigation.
In this paper, parallel navigation is proposed to track the target in three-dimensional space. Firstly, the polar kinematics models for the vehicle and the target are established. Secondly, parallel navigation is derived by using polar kinematics models. Thirdly, cell decomposition method is applied to implement obstacle avoidance. Fourthly, a brief study is given on the influence of uncertainties. Finally, simulations are conducted by MATLAB. Simulation results demonstrate the effectiveness of the parallel navigation.
DOI : 10.14736/kyb-2023-4-0592
Classification : 93C85
Keywords: parallel navigation; track; obstacle avoidance; uncertainties 
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     title = {Parallel navigation for {3-D} autonomous vehicles},
     journal = {Kybernetika},
     pages = {592--611},
     year = {2023},
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     number = {4},
     doi = {10.14736/kyb-2023-4-0592},
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Feng, Shulin; Zhang, Shuning; Xu, Mingming; Deng, Guanlong. Parallel navigation for 3-D autonomous vehicles. Kybernetika, Tome 59 (2023) no. 4, pp. 592-611. doi: 10.14736/kyb-2023-4-0592

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