A Vision-Based Road Information Detection and Front Vehicle Recognition Method

Abstract

The invention belongs to the field of intelligent vehicle road detection and relates to a vision-based road information detection and front vehicle recognition method. The method includes: image preprocessing; lane line feature parameter extraction; interested region segmentation; vehicle contour recognition. The present invention simplifies the complexity of calculation by extracting the region of interest, filtering the background region, and reducing the processing range; the method of row-by-row retrieval is used to obtain the processing result of each frame of image through a fixed number of calculations, which is different from the Hough transform for each bright spot The feature of linear fitting for all points has outstanding advantages in the real-time performance of the algorithm; the real-time performance of the Robinson direction template operator is improved, and the setting of intermediate variables reduces the number of calculations for each pixel. The information entropy and rear symmetry features in the target area are used to screen and distinguish the area of ​​interest, which reduces the missed detection rate and false detection rate of the algorithm.

Description

technical field [0001] The invention belongs to the field of intelligent vehicle road detection, and in particular relates to a vision-based road information detection and front vehicle recognition method. [0002] Background technique: [0003] An intelligent vehicle is a comprehensive system that integrates functions such as environmental perception, planning and decision-making, and multi-level assisted driving. It uses technologies such as computers, modern sensing, information fusion, communication, artificial intelligence, and automatic control. technology complex. At present, the research on intelligent vehicles is mainly devoted to improving the safety and comfort of automobiles, and providing an excellent human-vehicle interaction interface. In recent years, intelligent vehicles have become a research hotspot in the field of vehicle engineering in the world and a new driving force for the growth of the automobile industry. Many developed countries have incorporated ...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the robustness or real-time performance in the prior art cannot meet the requirements of the early warning mechanism, the present invention proposes a vision-based road information detection and front vehicle recognition method. The method first performs adaptive binary segmentation on the image ; Then extract the region of interest ROI (Region Of Interes) in the image; use the method of line-by-line retrieval to screen the feature points inside the lane line, so as to obtain the parameters of the left and right marking lines of the actual lane for road model reconstruction

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