Road surface detection method for moving trend recognition of distorted area in virtual grid

Abstract

The invention discloses a road surface detection method for identifying the movement trend of a distorted area in a virtual grid. After the road surface is virtualized into a grid, the movement trend identification system performs graphic identification on the collected grid image, finds out the distorted area, and tracks The movement trend of the distorted area, the drive alarm module sends a reminder according to the movement trend recognition result, and sends an alarm in time to remind the driver to take effective countermeasures, so as to eliminate the occurrence of traffic accidents. It can automatically adjust the alarm area according to the driving status. It can not only detect the front of the vehicle, but also detect the rear and left and right sides. It is used to detect the safety distance of the rear car and the rear alarm when reversing and eliminate the left and right blind spots. It can also be used for left and right blind spots. Lane change assistance and other applications. The invention reduces the amount of calculation and the cost of hardware equipment, and at the same time, the active light-emitting mode can adapt to light changes during the day and night, reduces environmental interference, and improves the correctness and reliability of identification.

Description

technical field [0001] The invention belongs to the technical field of vehicle driving control and safety control, and in particular relates to a road surface detection method for identifying the movement trend of a distorted area in a virtual grid. Background technique [0002] With the development of the economy, vehicles have entered thousands of households as an important means of transportation. There are countless vehicles driving on the road every day, but the traffic accidents that occur every day are also high. With the gradual improvement of driving safety awareness, vehicles The vehicle is equipped with various driving assistance systems, such as body radar, lane change assistance, automatic braking and other systems. These systems automatically perceive and identify the surrounding environment information of the vehicle, and when identifying potential danger, they will send out an alarm in time to remind the driver to take action. Effective countermeasures to eli...

AI Technical Summary

Problems solved by technology

The information obtained by the active method is usually not rich enough, and there are environmental interference problems. The passive method is realized through image recognition, which is greatly affected by the ambient light, and the algorithm is complex, and the reliability and accuracy need to be improved.

Images