Function development for self-localization through sensor data fusion for autonomous vehicles

Xiaobo Liu-Henke; Taihao Li; Marian Göllner; Sven Jacobitz; Jie Zhang

doi:10.1117/12.3037706

27 June 2024 Function development for self-localization through sensor data fusion for autonomous vehicles

Xiaobo Liu-Henke, Taihao Li, Marian Göllner, Sven Jacobitz, Jie Zhang

Proceedings Volume 13211, Asia Conference on Electronic Technology (ACET 2024); 132110D (2024) https://doi.org/10.1117/12.3037706
Event: Asia Conference on Electronic Technology (ACET 2024), 2024, Singapore, Singapore

Abstract

In this paper, a localization function for an autonomous vehicle (AV) is implemented in a cyber-physical laboratory test field. This function is adapted to the properties of the cyber-physical system and can be used in variety of projects of different domains, such as indoor road traffic simulation as well as in the context of Industry 4.0 applications. The great advantage of this feature is that the position of the AV platform can be determined in parallel by two different methods: a self-localization algorithm using sensors on the vehicle and through the sensor in the environment. These two data sources are transmitted via UDP in the CPS laboratory test field, which is used as the basis for the subsequent application (navigation).

Citation Download Citation

Xiaobo Liu-Henke, Taihao Li, Marian Göllner, Sven Jacobitz, and Jie Zhang "Function development for self-localization through sensor data fusion for autonomous vehicles", Proc. SPIE 13211, Asia Conference on Electronic Technology (ACET 2024), 132110D (27 June 2024); https://doi.org/10.1117/12.3037706

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Cameras

Matrices

Particles

LIDAR

Sensors

Design

Unmanned vehicles

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