自动驾驶障碍车辆行为预测技术研究Research on Behaviour Prediction Technologies of Autonomous Driving Obstacle Vehicles
李宇寂
摘要(Abstract):
为了使自动驾驶车辆可以像有经验的驾驶员一样对周围车辆的行为做出准确的判断,通过车辆周围传感器来感知障碍车辆的相对位置信息,并结合自身车辆的高精定位信息,获得障碍车辆的精确位置,通过应用隐马尔可夫模型建立不同驾驶行为的预测模型,最终通过模型的预测来判断障碍车辆的可能驾驶意图,辅助自动驾驶车辆进行有效的驾驶决策,更好的规划安全高效的行驶路线。
关键词(KeyWords): 自动驾驶;障碍车辆;行为预测;隐马尔可夫模型
基金项目(Foundation):
作者(Author): 李宇寂
DOI: 10.19822/j.cnki.1671-6329.20200181
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