The important characteristic of binocular vision system is that it can form stereo parallax. Subject to the limitation of "no-similar" imaging principle, the parallax of object points in binocular vision with large FOV is not necessarily distinguishable by the detector, but the distinguishable parallax is the basis of realizing stereo vision. Based on the ideal theoretical model, this section will establish a general structure of large FOV binocular stereo vision parallax model, learn from the relevant concepts of human binocular vision, conduct theoretical research on the characteristics of large FOV binocular stereo vision and the influence of system parameters, analyze the characteristics of image parallax, and compare it with the image parallax formed by small FOV binocular vision. This paper also simulates the generation of parallax in large FOV binocular vision image to verify the correctness of the theoretical analysis. The research of this paper plays a role in expanding the application of binocular vision with large FOV, and can also provide reference for the design of system parameters.
In order to overcome the shortcomings of traditional vision methods in the field of vehicle driving assistance, include visible light imaging system is vulnerable to the influence of illumination conditions and small field of view (FOV) imaging system has a large blind area, this paper proposed an environmental perception method based on ultra-wide FOV infrared imaging system. However, due to the compression of the Ultra-wide FOV infrared lens, the target occupies fewer pixels, and the detection distance is greatly limited. Therefore, this paper studies the feasibility of the application of Ultra-wide FOV infrared imaging system in the vehicle auxiliary driving system from the road objectives imaging size. Firstly, the general model of fisheye camera is used to build the imaging model of the Ultra-wide FOV infrared camera. Then, the vehicle driving safety distance and pedestrian imaging size characteristics are analyzed. Then the pedestrian detection distance of the Ultra-wide FOV infrared imaging system is simulated theoretically. Finally, a set of Ultra-wide FOV imaging system, which the FOV is 143° × 106° FOV and the detector resolution is 800 × 600, is used to carry out the experiment. The experiment shows that the pedestrian detection distance of the system proposed in this paper is more than 100 m, which can meet the needs of assistant driving at medium and low speeds.
Single-channel triple-band color night vision system is able to gain low-light color imagery. The core design idea of one-channel triple-band color night vision system is increasing a scanner than traditional low-light night vision system in the front of the image intensifier. The scanner is consisted of several filters which is used for dividing the emitted light or reflected light of the aim into three parts, R, G and B. Each part is taken a frame image respectively and then fused three frames into color imagery by Color Mapping Guidelines. The addition of filters makes the SNR of each frame image decreases, it means that images detail loss and gray value is low. To overcome this difficult, on the basis of three frame images fusion, a frame image of all band is added to fusion. Experimental results show that fused image which is fused by R, G, B and all band improve image brightness and detail information obviously through calculating the variance and entropy. This fused method is more conducive to the human eye.
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