Research on trajectory planning method for intelligent vehicles with obstacle avoidance based on Bézier curve

In this paper, a Bézier curve-based trajectory planning method with obstacle avoidance for intelligent vehicles, namely path planning and speed planning, is studied. In path planning, in order to adapt to roads of various shapes, the Cartesian coordinates of roads are converted to Frénet coordinates...

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Bibliographic Details
Main Authors: Cao Changsheng, Cao Haotian
Format: Article
Language:zho
Published: National Computer System Engineering Research Institute of China 2024-02-01
Series:Dianzi Jishu Yingyong
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Online Access:http://www.chinaaet.com/article/3000163473
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Summary:In this paper, a Bézier curve-based trajectory planning method with obstacle avoidance for intelligent vehicles, namely path planning and speed planning, is studied. In path planning, in order to adapt to roads of various shapes, the Cartesian coordinates of roads are converted to Frénet coordinates. Taking path length, curvature, continuity and vehicle collision risk as the cost function, the dangerous potential field theory is introduced to describe the risk of vehicle collision, and the sequential quadratic programming method is adopted to solve this nonlinear optimization problem. In speed planning, aiming at driving efficiency and comfort, speed planning is realized, which can meet different driving needs by adjusting the weight of each sub-objective function.
ISSN:0258-7998