IEEE Access (Jan 2020)

Research on Lane-Change Strategy With Real-Time Obstacle Avoidance Function

  • Qiong Wu,
  • Wu-Dong Liu,
  • Shi-Yong Guo,
  • Shuo Cheng,
  • Shao-Jie Li,
  • Hua-Wei Liang,
  • Zi-Jun Liu

DOI
https://doi.org/10.1109/ACCESS.2020.3037103
Journal volume & issue
Vol. 8
pp. 211255 – 211268

Abstract

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Lane changing (LC) is the basic maneuver of a variety of lateral control scenes such as overtaking, paralleling, collision avoidance, etc. The surrounding vehicle may drive into the planned path during the ego-vehicle's LC maneuver, the ego-vehicle could only stop or fail to respond in time. Aiming to tackle this issue, this article proposes a LC strategy with real-time obstacle avoidance function. Firstly, the common LC strategy adopts the single planning and real-time tracking framework, which cannot handle emergent situations during the LC maneuver. This article proposes a new framework of real-time planning and real-time tracking for obstacle avoidance in the process of the LC. Secondly, this article constructs a two-layer judgment condition and control mode matrix for the two obstacle avoidance conditions of current-lane preceding-vehicle lane-change (CPC) and target-lane preceding-vehicle deceleration (TPD). Finally, experiments and simulations demonstrate the effectiveness of the proposed algorithm.

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