三维自动驾驶汽车的平行导航

IF 0.9 4区计算机科学 Q4 COMPUTER SCIENCE, CYBERNETICS Kybernetika Pub Date : 2023-10-05 DOI:10.14736/kyb-2023-4-0592

Shulin Feng, Shuning Zhang, Mingming Xu, Guanlong Deng

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Parallel navigation for 3-D autonomous vehicles

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.

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来源期刊

Kybernetika 工程技术-计算机：控制论

CiteScore

1.30

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： Kybernetika is the bi-monthly international journal dedicated for rapid publication of high-quality, peer-reviewed research articles in fields covered by its title. The journal is published by Nakladatelství Academia, Centre of Administration and Operations of the Czech Academy of Sciences for the Institute of Information Theory and Automation of The Czech Academy of Sciences. Kybernetika traditionally publishes research results in the fields of Control Sciences, Information Sciences, Statistical Decision Making, Applied Probability Theory, Random Processes, Operations Research, Fuzziness and Uncertainty Theories, as well as in the topics closely related to the above fields.

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