Vehicle-mounted forewarning terminal for driving behaviors based on information fusion and forewarning method thereof
An in-vehicle terminal and behavior technology, applied in the field of intelligent transportation, can solve the problems of vehicle-mounted terminal that does 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 1-3 Shown: It includes a facial image acquisition and analysis unit for obtaining a clear image of the driver’s face, and the facial image acquisition and analysis unit includes a high-definition image camera and an image analysis processor connected in sequence; A driving operation information collection and analysis unit with multiple operating characteristics of the steering wheel, and the driving operation information collection and analysis unit includes a pedal collection sub-module, a steering wheel control collection sub-module, and the pedal collection sub-module and a steering wheel control collection sub-module A connected driving operation information analysis processor; at the same time, this embodiment also includes a fusion analyzer and an early warning decision controller that fuse and process the information collected in the a...
Embodiment 2
[0039] Embodiment 2: An early warning method for a vehicle-mounted terminal for early warning of driving behavior based on information fusion, the steps are as follows:
[0040] Start the image acquisition function of the facial image acquisition and analysis unit to obtain a clear image of the driver’s face in real time; firstly, extract the driver’s facial features for fatigue detection and the facial features for driver’s attention distraction detection; 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; secondly, extract for driving The facial features detected by the operator’s attention distraction include the characteristic triangle formed by the eyes and mouth, head posture, head position, line-of-sight deviation time, and line-of-sight deviation area; when the above informatio...
Embodiment 3
[0048] Embodiment 3: An embodiment of components selected for each unit part of a 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 million pixel CCD sensor with a shooting frequency of 50 Hz. The TMS320DM642 digital image processing chip is selected as the image analysis processor; the SPI interface of TMS320DM642 is connected to the information fusion analyzer through the SPI interface ;
[0051] 2. The pedal acquisition sub-module of the driving operation information acquisition and analysis unit uses brake pedal force and displacement sensors to detect pedal force and speed, and outputs voltage signals; the steering wheel control acquisition sub-module uses relative value rotation angle sensors to output square wave signals; driving The operation information analysis processor adopts the low-cost STM...
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