Vehicle-mounted camera picture processing method

Abstract

The invention belongs to the technical field of vehicle-mounted visual equipment, and relates to a vehicle-mounted camera picture processing method. The method comprises the following steps of: acquiring driving environment information and real-time picture information; judging a driving scene of a vehicle according to a basic database; and adopting picture configuration information matched with the driving scene. According to the vehicle-mounted camera picture processing method of the invention, when the illumination condition is changed, a picture processing algorithm and camera configurations can be changed in time, so that a vehicle-mounted camera can balance the picture quality in strong light and weak light environments, and the picture quality meeting the automatic driving requirement is obtained.

Description

technical field [0001] The invention belongs to the technical field of vehicle-mounted visual equipment, and in particular relates to a method for processing images of a vehicle-mounted camera. Background technique [0002] Car cameras are an indispensable device for autonomous driving systems. The road condition of the vehicle changes rapidly, and the brightness condition of the vehicle changes, which will have a huge impact on the picture quality of the vehicle camera. For example, when driving into an underground garage or entering and exiting a tunnel under the scorching sun, the images collected by the existing vehicle-mounted camera cannot accurately distinguish obstacles. However, the driving strategy judgment of the vehicle's automatic driving depends on the images captured by the on-board camera. If the image quality of the on-board camera cannot be guaranteed in the scene where the ambient brightness changes, it will bring serious safety hazards to automatic drivi...

AI Technical Summary

Problems solved by technology

For example, when driving into an underground garage or entering and exiting a tunnel under the scorching sun, the images collected by the existing vehicle camera cannot accurately distinguish obstacles.

However, the driving strategy judgment of the vehicle's automatic driving depends on the pictures collected by the vehicle-mounted camera. If the environment brightness changes, the image quality of the vehicle-mounted camera cannot be guaranteed, which will bring serious safety hazards to autonomous driving.

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