Vehicle environment based on two eyes visual and distance measuring system

Abstract

The invention discloses a vehicle-mounted environment and distance measurement system based on binocular vision, which is composed of a DSP-based detector, a two-degree-of-freedom platform, a motor, a first camera and a second camera. The DSP-based detector is composed of a hardware circuit and a binocular vision image module, and the binocular vision image module is stored in a program memory of the hardware circuit. The binocular vision image module adopts the method of assembly and C language mixed programming, and the CCS integrated development environment for image processing, analysis, interpretation, and judgment to obtain specific data of the internal and external environment of the vehicle, as well as the actual distance from the front and rear vehicles, and transmit the data through the serial port. The drive circuit outputs, and the output information can be displayed on the LCD monitor of the vehicle. The system of the present invention adopts dual cameras to collect images of targets, and truly realizes real-time identification of dynamic or static targets and measurement of distances between targets in imitation of human binoculars.

Description

Technical field [0001] The present invention relates to the technical field of image processing, in particular to a vehicle-mounted environment and distance measurement system based on binocular vision. Background technique [0002] The monitoring of automobile environmental comfort and safe driving conditions has always been a hot issue that the automobile industry pays close attention to. The monitoring of small environment parameters in the car mainly uses dedicated physical quantity sensors to form a complex detection system. However, for a limited space, it is difficult to accurately estimate the parameter distribution of the entire space from the detected parameter value at a certain point. At the same time, the detection of different parameters requires corresponding detection sensors. Therefore, the monitoring of the vehicle environment and driving conditions requires a complex multi-sensor system to complete, which not only increases the manufacturing cost of the car, bu...

AI Technical Summary

Problems solved by technology

However, for a limited space range, it is difficult to accurately estimate the parameter distribution of the entire space from the detection parameter value at a certain point

At the same time, since the detection of different parameters requires corresponding detection sensors, the monitoring of the environment and driving conditions in the car requires the cooperation of a complex multi-sensor system, which not only increases the manufacturing cost of the car, but also causes a higher equipment failure rate

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