V2I-based low-adhesion road surface intelligent driving safety control method

Abstract

The invention discloses a V2I-based low-adhesion road surface intelligent driving safety control method. The method comprises the following steps: enabling road side equipment to acquire an image of aroad surface; processing the acquired images of the road surface by the road side equipment; enabling the road side equipment to encode the processing result data to generate a message; enabling theroadside equipment to broadcast a message to a surrounding preset range; enabling the vehicle entering the preset range to receive the messages through the vehicle-mounted LTE-V2X equipment and issuethe position information of the vehicle to the roadside equipment, and if the vehicle is located in the preset range of the roadside equipment at the same time, enabling the vehicle to receive the messages broadcasted by the roadside equipment and fuse the received messages; enabling the intelligent driving control equipment of the vehicle to analyze the received message and adjust a safety strategy according to an analysis result, and wherein the safety strategy is related to the low-attachment road surface; loop executing the above steps.

Description

technical field [0001] The present invention relates to the field of intelligent transportation, more specifically, to the safety control technology in the intelligent driving technology. Background technique [0002] Automobile intelligence is the direction and trend of the future development of automobiles. Autonomous driving or intelligent assisted driving is rapidly developing and popularizing. In addition to identifying road condition information (the status of other traffic participants), intelligent driving technology also needs to identify the state of the road surface. For intelligent driving, the identification of road conditions is no longer simply applied to automotive safety systems such as ABS and EPS, but will also be applied to every link of the perception planning system, decision-making system, and execution system of autonomous vehicles. [0003] The identification of road surface state includes parameters such as road surface type, road surface state, s...

AI Technical Summary

Problems solved by technology

However, at the current stage, smart driving cars are limited by the functional limitations of the perception system and the limited computing and processing capabilities, so it is difficult to identify the type of road ahead and the road adhesion coefficient

Coupled with the limited field of view of the car itself, when the driving speed is fast, it is unrealistic to rely solely on the vehicle's own detection to perceive the state of the road ahead. Therefore, the existing intelligent driving solutions cannot obtain the road on the vehicle's planned path in advance. Road Surface Condition and Road Adhesion Coefficient

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