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Automotive Engineering ›› 2025, Vol. 47 ›› Issue (9): 1647-1654.doi: 10.19562/j.chinasae.qcgc.2025.09.001

   

Study on Spatial Preview Tracking Method for Autonomous Vehicle Speed Tracking

Xin Guan,Sishen Li,Xin Jia()   

  1. Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130025
  • Received:2024-11-22 Revised:2025-01-04 Online:2025-09-25 Published:2025-09-19
  • Contact: Xin Jia E-mail:jiaxin@jlu.edu.cn

Abstract:

Speed tracking is one of the most important function of autonomous vehicles. In order to improve the spatial speed tracking accuracy of autonomous vehicles at the designated spatial position, in this paper a spatial preview method for autonomous vehicles speed tracking is proposed. Compared with other methods, this paper focuses on spatial preview rather than temporal preview. Firstly, a motion primitives based spatial multi-segment speed preview method is established. The target speed is spatially previewed by motion primitive, and the segmentation points are determined according to the preview tracking error. The distance of each segment is adjusted dynamically to ensure that the preview tracking error within the allowable deviation range. The expected longitudinal acceleration is determined according to the preview result. Then, a longitudinal acceleration tracking method is established to track the expected longitudinal acceleration. Finally, the effectiveness of the method proposed in this paper is verified and compared with various currently widely used methods in the simulation environment. The test results show that the method proposed in this paper has higher spatial tracking accuracy compared with other methods.

Key words: spatial motion preview, multi segment preview, speed tracking, autonomous vehicle