一个个性化的人机共享驾驶系统:避免障碍物的案例研究.
1National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130025, China; College of Automotive Engineering, Jilin University, Changchun 130025, China.
这项研究开发了一个个性化的人机共享驾驶 (HMSD) 系统,该系统可以适应个人驾驶风格,以更安全地避开障碍物. 信任度不同,谨慎的司机对这种智能汽车技术的接受度最高.
科学领域:
- 智能运输系统 智能运输系统
- 人与机器的互动 人与机器的互动
- 汽车工程 汽车工程
背景情况:
- 目前的人机共享驾驶 (HMSD) 系统缺乏个性化,这可能会限制其有效性和用户接受度.
- 了解个体驾驶风格对于开发适应性和直观驾驶辅助系统至关重要.
研究的目的:
- 开发和验证一个个性化的HMSD系统,该系统根据量化驾驶风格规划和跟踪避障路径.
- 通过个性化驾驶员辅助来提高驾驶安全,车辆稳定性和交通效率.
主要方法:
- 采集的驾驶员特征数据使用一个驾驶员在循环中的实验台.
- 规范化和聚类数据以量化不同的驾驶风格.
- 开发了一个个性化的路径规划算法,并通过实验和调查验证了该系统.
主要成果:
- 个性化的HMSD系统有效地减少了驾驶负载,改善了驾驶员与车辆的互动,从而带来了高用户满意度.
- 观察到系统信任的显著个体差异,谨慎的驾驶员表现出比激进的驾驶员更高的信任.
- 该系统显示了提高驾驶安全,稳定性和效率的潜力.
结论:
- 基于驾驶风格的HMSD系统个性化显著提高了系统的接受度和有效性.
- 将智能汽车系统定制为个人用户特征是未来人机交互发展的关键.
- 未来的研究应该考虑不同类型的驾驶员和智能系统之间的细微信任动态.
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