A driving behavior warning vehicle terminal based on information fusion and its warning method
A vehicle-mounted terminal and behavior technology, which is applied in the field of intelligent transportation, can solve the problems of vehicle-mounted terminals that do not involve early warning of driving behavior, incomplete driving behavior analysis indicators, and no driver behavior analysis, etc., so as to improve the level of road traffic safety, improve the level of prevention, good compatibility
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Embodiment 1
[0037] Embodiment 1: A vehicle-mounted terminal for early warning of driving behavior based on information fusion
[0038] Such as Figure 1-3Shown: comprise in order to obtain the facial image acquisition and analysis unit of the driver's facial clear image, and described facial image acquisition and analysis unit comprises the high-definition image camera of sequence connection, image analysis processor; In order to obtain driver's pedal, A driving operation information collection and analysis unit for various operation characteristics of the steering wheel, and the driving operation information collection and analysis unit includes a pedal collection submodule, a steering wheel control collection submodule, and the pedal collection submodule and the steering wheel control collection submodule connected driving operation information analysis processor; at the same time, this embodiment also includes a fusion analyzer and an early warning judgment controller that fuse and pro...
Embodiment 2
[0039] Embodiment 2: An early warning method for a driving behavior early warning vehicle-mounted terminal based on information fusion, the steps are as follows:
[0040] Start the image acquisition function of the face image acquisition and analysis unit to obtain a clear image of the driver's face in real time; first, extract the facial features of the driver for fatigue detection and the facial features of the driver's distraction detection; wherein, the The facial image acquisition and analysis unit described above extracts the facial features of the driver for fatigue detection, including eye size, eye blink frequency, head posture, pupil diameter, eyeball rotation speed, and eye closure time; The facial features detected by distraction detection include the characteristic triangle formed by eyes and mouth, head posture, head position, line of sight deviation time, and line of sight deviation area; The main factor is quantified, and the quantitative weight of the characte...
Embodiment 3
[0048] Embodiment 3: An embodiment of the device selected by each unit of the vehicle-mounted terminal for early warning of driving behavior based on information fusion
[0049] Such as Figure 4 Shown:
[0050] 1. The high-definition image camera of the facial image acquisition and analysis unit adopts an 8-megapixel CCD sensor with a shooting frequency of 50Hz. The TMS320DM642 digital image processing chip is selected as the image analysis processor; the SPI interface of the TMS320DM642 is connected to the information fusion analyzer through the SPI interface ;
[0051] 2. The pedal acquisition sub-module in the driving operation information acquisition and analysis unit uses brake pedal force and displacement sensors to detect the strength and speed of pedaling, and outputs a voltage signal; the steering wheel control acquisition sub-module uses a relative value rotation angle sensor to output a square wave signal; The operation information analysis processor adopts low-c...
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