Processing and remedial methods of missing information in vehicle trajectories

Fujia Liu; Guofang Wu; Guoliang Dong

doi:10.1117/12.2644485

10 November 2022 Processing and remedial methods of missing information in vehicle trajectories

Fujia Liu, Guofang Wu, Guoliang Dong

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123011P (2022) https://doi.org/10.1117/12.2644485
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

With the rapid development of information technology, the application of data analysis and processing technology is becoming more and more extensive. In the data processing stage, necessary tools and technical means should be used to identify and process erroneous or missing data. The problem of missing positioning information data and picture additional information data will occur in the data recorded by the driving track of the car. This paper discusses the complementation methods for the above data information missing, and uses fragment interpolation, Lagrangian interpolation and other methods to achieve the complementation of missing data.

Citation Download Citation

Fujia Liu, Guofang Wu, and Guoliang Dong "Processing and remedial methods of missing information in vehicle trajectories", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123011P (10 November 2022); https://doi.org/10.1117/12.2644485

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