Surrounding vehicle identification system and method

Abstract

The present invention relates to a surrounding vehicle recognition system and method. According to an aspect of the present invention, the surrounding vehicle recognition system includes: a vehicle information collection unit, which collects the position information of the own vehicle and surrounding vehicles; The information collection part collects the position information of the own vehicle and the surrounding vehicles to generate a lane, and recognizes the position of the surrounding vehicles based on the generated lane; and a situation reminding part, which judges the road condition based on the surrounding vehicles recognized by the surrounding vehicle recognition part and inform about its status.

Description

technical field [0001] The present invention relates to a surrounding vehicle identification system and method, and more specifically relates to the surrounding vehicle identification system and method, which can effectively identify surrounding vehicles through communication between vehicles. Background technique [0002] Recently, in the automotive industry, research on surrounding vehicle recognition methods and lane recognition methods is being conducted in order to apply accident reduction applications. [0003] Generally speaking, based on images captured by cameras or sensors installed in vehicles, lane sensing and surrounding vehicles are sensed. [0004] Sensing the lane with a camera or sensor may not be successful depending on the weather or the brightness of the outside. For example, the lane on the road can be easily sensed on a sunny day, but in dark surroundings or in bad weather conditions such as snow or rain, the camera or sensor cannot sense the lane, or ...

AI Technical Summary

Problems solved by technology

[0004] Sensing lanes based on cameras or sensors may not be able to sense smoothly depending on the weather or external brightness

For example, the lane on the road can be easily sensed on a sunny day, but the surrounding area is dark or due to snow or rain, etc., the lane cannot be sensed through the camera or sensor, or the lane with a small field of view can only be sensed

[0005] In addition, in the case of strong sunlight, it may not be possible to sense the lane through the image captured by the camera or sensor due to backlighting, etc.

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