Intelligent driving automobile sensor blind area safety control method and system based on V2I

Abstract

The invention relates to an intelligent driving automobile sensor blind area safety control method and system based on V2I. The method comprises the following working steps that a binocular camera onroadside equipment senses traffic participants in a sensor blind area; an information processor on the roadside equipment processes and encodes the information of the traffic participants in the blindarea to generate a broadcast message; the DSRC equipment on the roadside equipment broadcasts the traffic participant information in the blind area to nearby intelligent driving vehicles; and the vehicle-mounted communication unit on the intelligent driving vehicle receives the broadcast information and helps the driving system to make a safe decision. The method provided by the invention is usedfor solving the problem of information loss of traffic participants in the blind area of the vehicle-mounted sensor of the intelligent driving vehicle, and necessary environmental information is provided for safe driving of the intelligent driving vehicle. Compared with the prior art, the method has the advantages of being low in information amount, large in intelligent driving system adaptationrange and the like.

Description

technical field [0001] The invention relates to the fields of intelligent driving and intelligent transportation, in particular to a V2I-based safety control method and system for sensor blind spots of intelligent driving vehicles. Background technique [0002] In the field of intelligent driving, except for the end-to-end technical solution that directly establishes the mapping between sensor data and vehicle control signals through the deep neural network, the rest of the technical solutions adopt the architecture of "perception cognition-planning decision-control execution". The planning and decision-making system determines the target position and target speed that the smart driving car should take at the next moment based on the input of the perception system and the current state of the smart driving car, which is very dependent on the reliability and stability of the sensing system. [0003] The sensors used in intelligent driving vehicles mainly fall into the followi...

AI Technical Summary

Problems solved by technology

When the smart driving car is driving in complex urban conditions, there are a large number of occlusions in the environment, which makes it difficult for the perception system to detect the occluded traffic participants (other vehicles, pedestrians, non-motorized vehicles, etc.), especially for blind bends, Working conditions such as branch road intersections and parking lots increase driving risks

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