Multi-view automobile all-around auxiliary driver assistant system and method

Abstract

The invention discloses a multi-view automobile all-around auxiliary driver assistant system, and the system comprises a plurality of cameras, an information processing module, and an output module. The front, back, left and right sides of a vehicle body are provided with one binocular camera and three fisheye cameras for collecting the images of the periphery of the vehicle body. The informationprocessing module carries out the preprocessing, texture mapping, brightness correcting, image fusion and view transformation of the collected images, and carries out the preprocessing and image matching of the images collected by the binocular camera to obtain the distance from the vehicle body to a front obstacle. The output module displays a formed 360-degree three-dimensional all-around imageof an automobile on vehicle-mounted display equipment, and achieves the alarm of a dangerous distance.

Description

Technical field [0001] The invention relates to the technical field of car assisted parking, in particular to a multi-viewpoint car surround view assisted driving system. Background technique [0002] According to statistics from the National Bureau of Statistics, the number of private cars in my country is increasing linearly. The increase in the number of cars is an important reason for the frequent occurrence of traffic safety accidents. The traditional panoramic driving assistance system uses visual sensors to install four cameras on the front bumper, left and right rearview mirrors, and the rear license plate of the car. The scene is presented to the driver in the form of a virtual top view. The driver can easily observe pedestrians and vehicle distance information around the vehicle through the panoramic image, which eliminates the visual blind zone of the vehicle and helps the driver to drive and park more safely and conveniently. However, a typical panoramic assisted dri...

AI Technical Summary

Problems solved by technology

However, a typical panoramic assisted driving system is a single-view planar splicing image, which weakens the three-dimensional space information around the vehicle body, restricts the driver's field of vision, and still poses certain safety hazards.

At present, most anti-collision warnings require the use of lidar. Lidar is very accurate and has a long detection distance, but it is difficult to work in rainy and foggy weather, and it is currently expensive.

Images