Front small-region object recognition and vehicle early warning method

Abstract

The invention relates to a front small-region object recognition and vehicle early warning method, and belongs to technical field of early warning for collision in front of vehicles. The front small-region object recognition and vehicle early warning method specifically comprises the steps that an image of a target to be recognized in front of a vehicle is acquired, and a region of interest (ROI)image is obtained; image preprocessing is performed on the obtained region of interest image, the preprocessed region of interest image is inputted into an improved YOLO convolutional network structure model to perform target recognition, and a target regression frame and a target category are outputted; the recognition result is inputted into a vehicle early warning system, if the target regression frame is located beyond the range of a vehicle driving route or the target is recognized to be of a non-dangerous category, the target is marked as a non-dangerous target, and the vehicle does notperform early warning; and if the target regression frame is located within the vehicle driving route and the recognized object belongs to a dangerous category or the object cannot be recognized but has certain speed features, the target is marked as a dangerous target, the vehicle performs early warning to remind a driver to pay attention so as to avoid occurrence of an accident.

Description

technical field [0001] The invention belongs to the technical field of vehicle front collision warning, in particular to a method for identifying objects in a small area ahead and a vehicle warning method based on an improved YOLO convolutional network structure model. Background technique [0002] With the expansion of the metropolitan area and the development of science and technology, the advanced driving assistance system for automobiles has been developed rapidly. Among them, the forward collision warning system has played an active role in improving road traffic safety, and has become a hot spot in the current international intelligent transportation system research. It can effectively detect and identify the objects ahead in real time, and send possible danger signals to the vehicle early warning system, which can effectively prevent the occurrence of vehicle collision accidents. [0003] Nowadays, there are a variety of target detection methods at home and abroad: th...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the uncertainty of the size and distance of objects in a small area in the image and the problems of low recognition accuracy and poor real-time performance caused by the use of traditional target detection algorithms, and to provide a front small area object recognition And the vehicle early warning method, effectively identify the small area objects in the driving field of vision in front of the vehicle, and judge the danger, and at the same time achieve the vehicle early warning effect

Images