Driving behavior assessment and vehicle driving state monitoring early warning system and method
A technology for vehicle running status and vehicle driving, applied in the field of intelligent transportation, can solve the problems of difficult evaluation of driver's driving habits, difficult to improve driving habits and prevent accidents, and achieve the effect of convenient driving.
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Embodiment 1
[0043] Embodiment one, see Figure 1-Figure 3 As shown, the present invention provides a driving behavior evaluation and vehicle driving state monitoring and early warning system, including a video information collection unit 1, a video information processing unit 2, an identity information verification unit 4, a vehicle running state collection unit 3, a comprehensive information processing unit 5 and information snap-in6.
[0044] The video information collection unit 1 is used to take a road condition video image of the road ahead of the vehicle, and transmit the road condition video image to the video information processing unit 2 .
[0045] The video information processing unit 2 is configured to extract road condition information according to the road condition video image, and send the road condition information to the comprehensive information processing unit 5 .
[0046] The vehicle running state collection unit 3 is used to acquire the vehicle running state informat...
Embodiment 2
[0056] Embodiment 2: Driving behavior evaluation and vehicle driving state monitoring and early warning method. Combine below Figure 4 The method provided in this embodiment will be described in detail.
[0057] Step S1a, taking a road condition video image of the road ahead of the vehicle.
[0058] Step S1b, collecting vehicle running state information, driver's operation action and identifying driver's identity information.
[0059] Step S2, integrating the road condition video image, the collected vehicle running status information and the driver's identity information into an independent set, and extracting and processing the independent set.
[0060] Specifically, in the step S2, according to the collected road condition video information, extracting road condition feature information specifically includes identification of lane lines, identification of vehicles and pedestrians ahead, and identification of zebra crossing guide arrows;
[0061] The identification of la...
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