Research on fusion localization method based on roadside camera

Denglinjun Chen; Miaohua Huang

doi:10.1117/12.2628860

22 April 2022 Research on fusion localization method based on roadside camera

Denglinjun Chen, Miaohua Huang

Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 1217409 (2022) https://doi.org/10.1117/12.2628860
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China

Abstract

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.

Citation Download Citation

Denglinjun Chen and Miaohua Huang "Research on fusion localization method based on roadside camera", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 1217409 (22 April 2022); https://doi.org/10.1117/12.2628860

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KEYWORDS

Satellite navigation systems

Cameras

Roads

Detection and tracking algorithms

Target detection

Ranging

Sensors

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