With the rapid development of 5G, autonomous driving has entered a new stage of development. But the location of the vehicle directly affects the safety of the vehicle. In order to reduce the intelligence degree of vehicles, increase the information sharing ability of roads, and improve the positioning accuracy of vehicles. This paper detects and tracks vehicles based on roadside cameras, and obtains vehicle location information through ranging model and coordinate transformation relationship. At the same time, a weight fusion localization algorithm is proposed by integrating GNSS position information of the vehicle. This method has important theoretical significance in reducing the cost of sensor for vehicle, and has achieved good positioning effect in real vehicle positioning experiment.


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    Title :

    Research on fusion localization method based on roadside camera


    Contributors:

    Conference:

    International Conference on Internet of Things and Machine Learning (IoTML 2021) ; 2021 ; Shanghai,China


    Published in:

    Proc. SPIE ; 12174


    Publication date :

    2022-04-22





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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