Novel vehicle collision avoiding brake behavior detection method

Abstract

The invention discloses a novel vehicle collision avoiding brake behavior detection method. The novel vehicle collision avoiding brake behavior detection method is characterized in that brake behavior detection is carried out based on the fact that vehicles in the front are obtained through a camera of a mobile device installed at the position, at the back of a windshield, inside a vehicle and mainly includes the two processes including brake lamp locating and brake lamp behavior judging. The novel vehicle collision avoiding brake behavior detection method includes the steps that frame images obtained by the camera are firstly converted from RGB color space to YCrCb color space, and vehicle tail lamp regions of the vehicles in the front are filtered and located with a threshold value method and a horizontal-vertical accumulation peak value intersection point method; then six characteristics with the discrimination performance are extracted from the located vehicle tail lamp regions in the front, training is carried out on training sets through an SVM classifier to obtain a forecasting classification model, then brake behavior discrimination is carried out on the obtained vehicle tail lamp regions, and the collision avoiding effect is accordingly achieved. By means of the novel vehicle collision avoiding brake behavior detection method, effective brake behavior detection can be carried out, and the real-time processing requirement of a vehicle-mounted mobile device can be met.

Description

Technical field [0001] The invention relates to a new braking behavior detection method for avoiding vehicle collision, and belongs to the technical field of image processing and pattern recognition. Background technique [0002] Nowadays, there are more and more vehicles on the road, and more and more car accidents follow. Effective vehicle detection and braking behavior detection are a research hotspot in recent years. The current research on braking behavior detection is mostly in the night road environment. The taillights in the night environment show the characteristics of white in the middle and red at the edge. With the help of the taillight characteristics of the vehicle in the night environment, the detection of the taillight is realized, and then the detection and braking behavior of the vehicle are realized. Detection. [0003] Existing research is mainly divided into sensor-based methods and vision-based methods. The vision-based method is mainly to convert the frame ...

AI Technical Summary

Problems solved by technology

The research of Kuo et al. is based on vision-based vehicle detection in nighttime environments. This method realizes vehicle detection through the detection of vehicle taillights, but there are many constraint parameters that need to be set in the method, and it is universal for different road environments. not ideal

Images