Intelligent vehicle traffic scene understanding and beyond-visual-range perception system and method

Abstract

The invention discloses an intelligent vehicle traffic scene understanding and beyond-visual-range perception system and method. The method comprises the steps of obtaining a dynamic high-precision local map in real time, enabling the dynamic high-precision local map to comprise dynamic information and static information of a monitored road condition, and carrying out the target detection of the dynamic high-precision local map, wherein the detection target comprises vehicle, pedestrian and traffic light information, conducting perspective transformation on the classified pictures, positioningvehicles and pedestrian targets in the pictures, and acquiring position information of each vehicle, enabling the vehicles on the road sections to receive the images, and determining the positions ofthe vehicles in the high-precision local map according to the position information of the vehicles, and fusing the dynamic high-precision local map information of different positions of the same roadsection to construct a high-precision map of the whole road section. Beyond-visual-range perception of the intelligent vehicle is achieved, the driving safety is improved, and the method has practical popularization value.

Description

technical field [0001] The invention relates to the field of automatic driving, in particular to a system and method applicable to intelligent vehicle traffic scene understanding and over-the-horizon perception. Background technique [0002] Environmental perception in autonomous driving has always been a complex and arduous task. In the actual driving process, the environment is often very complex and diverse, involving traffic sign recognition, traffic light recognition, ground marking recognition, pedestrian recognition, vehicle recognition, road terrain It is difficult to obtain all the information by the sensor of the smart car itself, especially in the case of occlusion. Aiming at this problem, the current solution is to use the information captured by roadside sensors and the mutual fusion of sensor information of multiple smart cars in the traffic system to form a smart car-linked system that integrates perception and communication. It can also be assisted by static ...

AI Technical Summary

Problems solved by technology

[0003] However, the implementation of the above method is not flexible enough, it can only provide the information of static objects in the smart car traffic environment, it cannot be updated in real time, and it is prone to dead ends

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