Curve driving detection system and detection method thereof

Abstract

The invention discloses a curve driving detection system and a detection method thereof, wherein the curve driving detection system comprises a mark plate, a camera, an image analyzer, a transmission network, a server and a client; the detection method comprises the steps that an image of the camera is firstly recorded, a curve corner and the physical size of a training vehicle are manually measured, and the calibrating of a coordinate system is finished; the image analyzer continuously receives monitoring images captured by the camera and identifies the mark plate on the training vehicle, the actual position, gesture and contour range of the vehicle and the shortest distance from the contour to a marker line are calculated through the calibrated coordinate system, and pictures are snapshot when the contour of the vehicle crosses the marker line; and the server receives the measurement data, pictures and video from the image analyzer through the transmission network and works out the training score, and a driver and a trainer can query the information or retrieve the video through a back-end client, so that the driver can be effectively trained, and the learning efficiency of the driving personnel is improved.

Description

technical field [0001] The invention relates to a curve driving detection system and a detection method thereof. Background technique [0002] As a motor vehicle driver, curve driving is one of the driving skills that must be mastered. However, in traditional driver training, trainees generally use fixed reference objects for training, which leads to the need to re-cultivate position sense and turning skills after the actual road. Although it is possible to collect the position of the vehicle by installing a certain number of sensors on the road, such as the permanent magnet used in Chinese utility model 201120277850.8, or the infrared rays, lasers, and ultrasonics commonly used in engineering distance measurement, such sensors can only be used at individual fixed points. On-site perception, complex construction and maintenance, and high overall cost, and the linkage of cameras is still required to achieve evidence collection. [0003] Whether the students are learning or ...

AI Technical Summary

Problems solved by technology

As we all know, this method is difficult to be operable in the real environment, because there are many linear pixels in the vehicle itself, such as windows, ceilings, etc., and there are often a large number of linear pixels in the background environment, such as curbs, In this case, it is difficult to extract the "car" from the background environment at the pixel level, which eventually leads to inaccurate detection

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