Overtaking prejudgment method based on vehicle-mounted unit and road side unit and storage medium
A vehicle-mounted unit and roadside unit technology, applied in neural learning methods, biological neural network models, control devices, etc., can solve problems such as weak safety guarantee coefficient, poor automatic driving experience of car owners, and no consideration of car owners' willingness, so as to ensure The effect of overtaking safety, ensuring rationality, and ensuring driving experience
Active Publication Date: 2020-08-04
广东中科臻恒信息技术有限公司
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[0003] However, the current overtaking prediction algorithm only considers the relative position and speed between vehicles, and the safety guarantee factor is weak, and it
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[0030] In this embodiment, the on-board unit refers to the laser sensor (Ibeo), visual sensor (binocular vision camera), position sensor (GPS), front and rear radar, and main control computer (Nuvo-5095GC industrial computer) on the conventional self-driving vehicle. In the composed automatic driving system, the roadside unit refers to multiple networked communication devices arranged at equal intervals on the side of the road, and each networked communication device communicates with the traffic control center.
[0031] The automatic driving predictive overtaking method of this embodiment is executed based on the vehicle-mounted unit and the roadside unit, specifically including: figure 1 The following steps are shown:
[0032] Step S1. Obtain the owner's willingness to overtake.
[0033] Specifically, before entering the automatic driving mode, the main control computer sends an overtaking willingness setting request to the owner through the touch display device on the vehi...
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The invention relates to an overtaking prejudgment method based on a vehicle-mounted unit and a road side unit and a storage medium. The method comprises the steps that S1, the overtaking willingnessof a vehicle owner is obtained; S2, a vehicle-mounted unit is started to acquire overtaking prejudgment information in a set range by taking the vehicle as a center, wherein the overtaking prejudgmentinformation comprises speeds and positions of vehicles and other obstacles in the set range; S3, the vehicle-mounted unit is started to communicate with an adjacent road side unit to obtain road condition information and speed limiting information of the current road; S4, the overtaking prejudgment information, the road condition information and the speed limiting information serve as input quantities and are sent to a pre-trained neural network model, and an overtaking prejudgment result output by the neural network model is obtained; and S5, on the basis of the overtaking prejudgment resultand the overtaking willingness, the vehicle-mounted unit is controlled to implement overtaking behaviors. According to the method, the vehicle safety guarantee coefficient and the vehicle owner experience degree during overtaking behavior execution in the automatic driving process can be improved.
Description
technical field [0001] The invention relates to the field of automatic driving, in particular to a method for predicting overtaking based on a vehicle-mounted unit and a roadside unit, and a storage medium. Background technique [0002] Autonomous driving technology is becoming more and more mature and has initially entered the practical stage. It relies on the cooperation of neural network algorithms, visual computing, radar monitoring and global positioning systems, so that the main control computer can automatically control vehicles according to the relative position and speed of road vehicles. Vehicles drive and perform overtaking behavior. [0003] However, the current overtaking prediction algorithm only considers the relative position and speed between vehicles, and the safety guarantee factor is weak, and it does not consider the willingness of the car owner, which may violate the driving habits of the car owner, resulting in poor autonomous driving experience for th...
Claims
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Login to View More IPC IPC(8): B60W30/18B60W50/00B60W60/00G06N3/08
CPCB60W30/18163B60W50/00B60W2050/0028B60W2420/42B60W2420/52B60W60/0016G06N3/08
Inventor 杨敬锋王立蓝飞腾刘晓松魏忠伟杨峰
Owner 广东中科臻恒信息技术有限公司