Height limit detection device based on computer visual identification and control method thereof

Abstract

The invention relates to a height limit detection device based on computer vision recognition and a control method thereof.The height limit detection device comprises a controller, an environment information collecting module, a vehicle-mounted light sensor and a vehicle data sensor used for obtaining vehicle information, and the vehicle-mounted light sensor is installed on the inner side of a front windshield of a target vehicle; the environment information acquisition module, the vehicle-mounted light sensor and the vehicle data sensor are respectively connected with the controller, the output end of the controller is electrically connected with an electronic control unit of a vehicle, and the controller carries out comprehensive logic judgment on input information data and carries out height limit early warning and vehicle deceleration braking on the vehicle through the electronic control unit. Compared with the prior art, the method has the advantages of high detection accuracy, all-weather work and the like.

Description

technical field [0001] The invention relates to the technical field of driving assistance devices, in particular to a height limit detection device based on computer vision recognition and a control method thereof. Background technique [0002] With the improvement of our country's science and technology and economic level, and the increasing development of urban traffic, the types and quantities of vehicles are increasing. For the protection of roads and the personal safety of drivers, some roads will be set with height limiters or poles; height limiters Generally, it is mainly used for the portal frame at the entrance of bridges, culverts, and tunnels to play a protective role. However, the height of the height limit pole is also different. Originally, the height limit pole is to protect the safety of the driver, passengers and goods, but because the height of most height limit poles is not in accordance with the standard pole, the driver is not clear about the height of t...

AI Technical Summary

Problems solved by technology

However, the current binocular stereo vision detection is susceptible to the influence of weather and environment, and cannot realize all-weather detection; affected by the road slope and roadside roughness, it is impossible to achieve high-precision output such as height and distance by relying on a single sensor detection

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