Vehicle interaction system for active safety perception of road environment

Abstract

The invention provides a road environment active safety perception vehicle interaction system, which comprises a server, an interaction module, an induction module, an early warning module and an evaluation module, and is characterized in that the induction module is used for collecting a road environment and triggering induction of the road environment; the early warning module generates early warning information according to the environment data of the sensing module; the interaction module interacts the road environment data with the vehicle; the evaluation module triggers the evaluation of the driving environment based on the data of the early warning module and the sensing module, and feeds back an evaluation result to the vehicle and a driver of the vehicle through the interaction module. The interaction module is matched with the sensing module and the early warning module, so that the interaction module can execute interaction according to data of the sensing module and the early warning module, and the active sensing ability of the vehicle is improved; meanwhile, active sensing of the surrounding environment is also considered, and the running speed and the running direction of the vehicle are controlled based on sensing data.

Description

technical field [0001] The invention relates to the technical field of interaction between vehicles and the environment, in particular to a vehicle interaction system for active safety perception of road environment. Background technique [0002] With the increase in the number of existing vehicles, the safety of driving personnel has attracted more and more attention. In addition to the driving risks brought by other vehicles during the driving process, the night, heavy rain, mudslides and other environments will also lead to driving paths. bad and thus dangerous. At present, the traditional method mainly relies on the human perception and judgment of the driving personnel, but the human perception is not effective and has no timeliness, so it is difficult to ensure the driving safety. [0003] For example, CN112908033B in the prior art discloses a system and method for cooperative collision avoidance and early warning of networked vehicles in the environment of non-signal...

AI Technical Summary

Problems solved by technology

Among them, vertical meeting of cars at intersections is one of the traffic scenes most likely to cause traffic accidents in daily driving. Traditional sensor-based anti-collision warning technology is mostly used for collisions between front and rear vehicles when two vehicles are very close to each other. The detection range is limited, and it may Due to the occlusion of buildings or surrounding objects, vehicles in blind spots at intersections cannot be detected, and information sharing between vehicles cannot be realized.

It is easy to cause false positives and false negatives of early warning, which increases the risk of intersection collision

[0004] In order to solve the common problems in the field of lack of active perception, limited data interaction between vehicles and pedestrians, lack of early warning means and poor interaction performance, etc., the present invention is made

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