An unmanned road obstacle recognition system

Abstract

The invention relates to an unmanned road obstacle recognition system, belonging to the technical field of unmanned driving, comprising: an image acquisition module, used to collect road image information during the driving process of an unmanned vehicle; a channel separation module, electrically connected to the The image acquisition module separates the road image information into color channels to obtain the first, second and third channel images; the channel data storage module is electrically connected to the channel separation module for storing the channel image data; The obstacle identification module is electrically connected to the channel data storage module, and is used to intelligently analyze the channel image to obtain road conditions and obstacle identification results; the driving mode control module is electrically connected to the obstacle identification module, for Based on the road conditions and obstacle recognition results, the driving mode information of the unmanned vehicle is obtained and output. The invention can effectively identify different road conditions and obstacles, and has the advantages of high control accuracy and high real-time performance.

Description

technical field [0001] The invention belongs to the technical field of unmanned driving, and in particular relates to a road obstacle recognition system for unmanned driving. Background technique [0002] Since the birth of unmanned vehicles, the perception of obstacles on the vehicle's driving road has attracted the attention of many scholars and scientific research institutions as a very important research content in the field of unmanned driving, but it is still a very difficult topic. Obstacle detection on the road is an important part in the field of driverless technology. [0003] In recent years, in the field of ITS (Intelligent Transportation System) research at home and abroad, many algorithms and implementation methods have been proposed for obstacle detection methods on the vehicle's driving path, including image-based detection methods, which mainly include: [0004] (1) Obstacle detection based on prior knowledge: This method is to preprocess the image and then...

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Problems solved by technology

[0004] (1) Obstacle detection based on prior knowledge: This method preprocesses the image and compares it with the existing prior knowledge to draw a conclusion, so it has the disadvantages of low precision and narrow application

[0005] (2) Obstacle detection based on stereo vision: This method includes binocular stereo vision and trinocular stereo vision. Because it requires multiple cameras, the cost is relatively high, and the algorithm is complex and difficult to calculate.

[0006] Moreover, the existing unmanned driving technology has low accuracy for obstacle recognition under complex road conditions, resulting in poor driving control effect of the current unmanned driving technology in the case of bad road conditions. Real-time and recognition accuracy need to be improved

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