The invention discloses a vehicle-mounted automatic driving algorithm optimization method, system and device based on a road side unit, and the method comprises the steps: a vehicle terminal obtains vehicle sensing information through a vehicle-mounted sensor, obtains vehicle decision information, and transmits the vehicle sensing information and the vehicle decision information to a road side terminal according to a preset packaging format; obtaining roadside decision information based on the roadside sensing information, and correcting the vehicle decision information based on the roadside decision information to obtain corrected decision information; correcting the vehicle sensing information based on the roadside sensing information to obtain corrected sensing information; sending the amended perception information and the amended decision information to the vehicle terminal; and optimizing the initial automatic driving model to obtain an optimized automatic driving model. According to the method, the problem that the vehicle-mounted automatic driving model cannot be subjected to online and real-time algorithm updating is solved, the algorithm iteration speed is increased, and the matching degree of the trained model and the real road condition is guaranteed.
本发明公开一种基于路侧单元的车载自动驾驶算法优化方法、系统及装置,方法包括:车辆终端通过车载传感器获取车辆感知信息,得到车辆决策信息,将所述车辆感知信息和车辆决策信息按照预设封装格式发送至路侧终端;基于路侧感知信息得到路侧决策信息,并基于路侧决策信息对所述车辆决策信息进行修正,得到修正决策信息;基于路侧感知信息对所述车辆感知信息进行修正,得到修正感知信息;将修正感知信息及修正决策信息发送至车辆终端;对初始自动驾驶模型进行优化,得到优化自动驾驶模型。通过本发明的方法解决了车载自动驾驶模型不能在线、实时进行算法更新的问题,提高算法迭代速度,保障训练所得模型与真实路况的匹配度。
Vehicle-mounted automatic driving algorithm optimization method, system and device based on road side unit
基于路侧单元的车载自动驾驶算法优化方法、系统及装置
2024-03-01
Patent
Electronic Resource
Chinese
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