Vehicle control method and device

Abstract

The invention discloses a vehicle control method and device. The method comprises the steps of: obtaining point cloud data corresponding to the surrounding environment of a vehicle collected by a laser radar and the position of the vehicle; determining the position and speed of each obstacle; depending on the position of a vehicle, determining a lane coordinate system taking a lane as a reference;for obstacles, determining a transverse safety distance and a longitudinal safety distance between the obstacles and the vehicle under a lane coordinate system; and according to the transverse safetydistance, the longitudinal safety distance and the positions of the obstacles, determining a safety influence characterization value of the obstacles on the vehicle, according to the safety influencecharacterization value of each obstacle, selecting at least one target obstacle in each obstacle, and according to the information of each target obstacle and the position of the vehicle, controllingthe vehicle. Through adoption of the method, the target obstacle which is more threatening to the driving safety of the vehicle can be screened out, so that the effect of more reasonably controllingthe vehicle in a complex display scene is achieved.

Description

technical field [0001] This specification relates to the technical field of traffic safety, in particular to a vehicle control method and device. Background technique [0002] At present, the safety of vehicles during driving has gradually become the focus of attention. [0003] Typically, an Autonomous Emergency Braking (AEB) system may be installed on a vehicle. The AEB system can monitor the driving environment in front of the vehicle in real time, and automatically activate the vehicle braking system to slow down the vehicle when there is a possible collision risk, so as to avoid collision or reduce the consequences of collision. [0004] Since the AEB system considers the driving environment in front of the vehicle, the recognition range of the AEB system is relatively small, and it is not suitable for complex real-world scenarios. Moreover, the AEB system simply selects the distance between each obstacle and the vehicle and other factors. The target obstacle does not...

AI Technical Summary

Problems solved by technology

[0004] Since the AEB system considers the driving environment in front of the vehicle, the recognition range of the AEB system is relatively small, and it is not suitable for complex real-world scenarios. Moreover, the AEB system simply selects The target obstacle does not take into account the actual situation during the driving process of the vehicle, which makes the AEB system insufficient to ensure the driving safety of the vehicle

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