Night driving system based on uncooled infrared and low-light-level fusion

Abstract

The invention discloses a night driving system based on uncooled infrared and low-light-level fusion. The system is an intelligent video monitoring system which can meet the need of vehicle drivers for dynamically observing the surrounding environment, and can be used to detect and track the surrounding environment and make an object analysis of the surrounding environment. The system is composed of five parts: a video acquisition module, a video preprocessing module, a video control module, a video fusion module, and a video display module. An image processing technology is adopted, and the image quality is improved. An adaptive pseudo color fusion algorithm based on a YCbCr color space is adopted, a fusion mode switching function is added, and the color of a fused image is real, which is advantageous to target recognition by the human eye. As a servo control system is adopted, vehicle drivers can quickly observe the surrounding environment at different angles, the environment target recognition ability and observation effect are improved, and a strong guarantee is provided for the safety performance of vehicles.

Description

technical field [0001] The invention belongs to a driving assistance system, in particular to a nighttime driving assistance system based on fusion of uncooled infrared and low light. Background technique [0002] With the development of modern information technology, people put forward higher requirements for the safety of vehicle driving. At night and under complex weather conditions, it is often impossible to effectively obtain the surrounding conditions of the vehicle only by the driver's direct vision, and the safety of the vehicle is greatly threatened. On the other hand, with the development of photoelectric technology, through modern night vision imaging and information processing technology, the picture of the road ahead of the vehicle can be clearly obtained and transmitted to the driver, effectively improving the safety of night driving. Current night vision images mainly include infrared images and low-light images. The infrared imaging system has a long detect...

AI Technical Summary

Problems solved by technology

This algorithm is quite complicated. Although the fused image has better quality, the real-time processing cannot be guaranteed when implemented on hardware. Subsequent algorithm optimization and further design of hardware are required.

[0004] The above-mentioned technologies have the following disadvantages: the algorithm is simple but the fusion effect is not ideal, the algorithm is complex but not real-time, and these systems have single functions and weak human-computer interaction capabilities

These shortcomings are not conducive to the driver's observation of the target background around the vehicle, affecting judgment and operation, and reducing safety

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