Method for distinguishing electric vehicle from fuel vehicle
A technology of electric vehicles and fuel oil, applied in the field of remote sensing, can solve the problem of low precision in distinguishing between electric vehicles and fuel vehicles, and achieve good target detection results and high precision effects
Active Publication Date: 2021-06-25
THE HONG KONG POLYTECHNIC UNIV SHENZHEN RES INST
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[0005] The technical problem to be solved by the present invention is to provide a method for distinguishing electric vehicles from fuel vehicles aimed at solving the problem of low precision in distinguishing electric vehicles from fuel vehicles in the prior art.
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[0051] In order to make the purpose, technical solutions and advantages of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0052] Please also see Figure 1-Figure 12 , the present invention provides some embodiments of a method for distinguishing electric vehicles from fuel vehicles.
[0053] For the identification of electric vehicles, the existing technology can make a rough judgment based on the characteristics of visible light, such as querying vehicle information through the color of the license plate or by identifying the license plate, but this method has large defects and uncertainties. The first is the difference between countries / regions. Some countries and regions have not issued special license plat...
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The invention discloses a method for distinguishing an electric vehicle from a fuel vehicle. The method comprises the steps of obtaining a thermal infrared image of a target vehicle; preprocessing the thermal infrared image to obtain a processed thermal infrared image, wherein the preprocessing comprises image enhancement processing and lane shielding processing; inputting the processed thermal infrared image into a trained neural network model, and outputting a vehicle type corresponding to the target vehicle through the trained neural network model, wherein the vehicle type comprises an electric vehicle and a fuel vehicle. According to the invention, the invention employs the neural network model to recognize the vehicle based on the difference between the electric vehicle and the fuel vehicle in the thermal infrared image, is higher in precision, and can obtain a better target detection result.
Description
technical field [0001] The invention relates to the technical field of remote sensing, in particular to a method for distinguishing electric vehicles from fuel vehicles. Background technique [0002] With the improvement of environmental protection awareness and the development of new energy vehicles, the number of electric vehicles on the road has increased significantly. Knowing the number and ratio of electric vehicles and fuel vehicles on the road is helpful for traffic management and environmental protection departments to grasp the situation and make decisions. [0003] For the identification of electric vehicles, the existing technology can make a rough judgment based on the characteristics of visible light, such as querying vehicle information through the color of the license plate or by identifying the license plate. However, this method has large defects and uncertainties, and the accuracy of the distinction is not high. [0004] Therefore, the prior art still need...
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IPC IPC(8): G06T5/00G06T5/40G06T7/00G06T7/246G06N3/04G06N3/08
CPCG06T5/40G06T7/0002G06T7/246G06N3/08G06T2207/10032G06T2207/10048G06T2207/20081G06T2207/20084G06T2207/30252G06N3/045G06T5/90G06N3/0464G06N3/09
Inventor 史文中张英俊
Owner THE HONG KONG POLYTECHNIC UNIV SHENZHEN RES INST