JRM Vol.35 No.2 pp. 262-270
doi: 10.20965/jrm.2023.p0262


MGV Obstacle Avoidance Trajectory Generation Considering Vehicle Shape

Yoshihide Arai, Takashi Sago, Yuki Ueyama, and Masanori Harada

National Defense Academy of Japan
1-10-20 Hashirimizu, Yokosuka, Kanagawa 239-8686, Japan

September 30, 2022
December 26, 2022
April 20, 2023
trajectory generation, convex optimization, autonomous vehicle, optimal control
Obstacle avoidance by compound STCs

Obstacle avoidance by compound STCs

This study investigates the application of obstacle avoidance trajectory generation considering the vehicle shape of a micro ground vehicle by successive convexification and state-triggered constraints. The avoidance trajectory is generated by numerical computation and path-following experiments are conducted to assess the generated trajectory. The numerical computation results indicate that the trajectory obtained by the algorithm successfully avoids obstacles considering the vehicle shape and satisfies the constraints. The experiment includes the model predictive control to follow the generated trajectory. Numerical computations and experiments confirm the usefulness of the trajectory generation algorithm.

Cite this article as:
Y. Arai, T. Sago, Y. Ueyama, and M. Harada, “MGV Obstacle Avoidance Trajectory Generation Considering Vehicle Shape,” J. Robot. Mechatron., Vol.35 No.2, pp. 262-270, 2023.
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Last updated on Jun. 07, 2023