An intelligent driving image capture system

Abstract

An image capture system for intelligent driving, which includes a box installed on the roof of the car. A drone is installed on the top of the box. Cameras are installed on all four sides of the drone. Cable wheels and wire wheels are installed in the box. Both the cable wheel and the wire wheel are fixedly connected to the box through their respective wheel frames. The cable wheel is wound with a cable, and the end of the cable is connected to the drone. The cable wheel is wound with a wire. Inside, the rotating shafts of the wire pulley and the wire pulley are coaxial and connected with the same motor, and the motor is fixedly installed in the casing. In the present invention, through the take-off of the UAV, the camera on the UAV located at a high place can provide a wider field of view, thereby capturing images from farther away, effectively increasing the amount of video data, and further improving driving safety. auxiliary.

Description

technical field [0001] The invention belongs to the field of intelligent driving, in particular to an image capturing system for intelligent driving. Background technique [0002] In intelligent driving technology, it is one of the existing common ways to capture information through images, and then the computer performs information processing to complete the control of the vehicle or sends corresponding signals to the driver for manual adjustment. At present, most of the image acquisition takes the driver's position as the first perspective, simulating the way the human eye observes, that is, installing the camera at the front of the vehicle. For many complex situations, simply passing through the front image has less information. For example, they don't know the road conditions at a longer distance, and they don't know what's happening at a location farther ahead, which limits intelligent driving. Contents of the invention [0003] The invention provides an intelligent...

AI Technical Summary

Problems solved by technology

For many complex situations, simply passing through the front image has less information

For example, I don’t know the road conditions at a longer distance, and I don’t know what’s happening at a location farther ahead, etc., which limits intelligent driving.

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