Low visibility is one of the reasons for rear accident at night. In this paper, we propose a method to detect the leading vehicle based\nonmultisensor to decrease rear accidents at night.Then, we use image enhancement algorithm to improve the human vision. First,\nby millimeter wave radar to get the world coordinate of the preceding vehicles and establish the transformation of the relationship\nbetween the world coordinate and image pixels coordinate, we can convert the world coordinates of the radar target to image\ncoordinate in order to form the region of interesting image. And then, by using the image processing method, we can reduce\ninterference from the outside environment. Depending on D-S evidence theory, we can achieve a general value of reliability to test\nvehicles of interest. The experimental results show that the method can effectively eliminate the influence of illumination condition\nat night, accurately detect leading vehicles, and determine their location and accurate positioning. In order to improve nighttime\ndriving, the driver shortage vision, reduce rear-end accident. Enhancing nighttime color image by three algorithms, a comparative\nstudy and evaluation by three algorithms are presented. The evaluation demonstrates that results after image enhancement satisfy\nthe human visual habits.
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