Development of Rule-Based Agents for Autonomous Parking Systems by Association Rules Mining

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Yuan, X, Liebelt, MJ, Shi, Peng ORCID: 0000-0001-8218-586X and Phillips, BJ (2019) Development of Rule-Based Agents for Autonomous Parking Systems by Association Rules Mining. In: 2019 International Conference on Machine Learning and Cybernetics (ICMLC 2019), 7 Jul 2019 - 10 Jul 2019, Kobe, Japan.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/41823
DOI https://doi.org/10.1109/ICMLC48188.2019.8949201
ISBN 9781728128177
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords artificial general intelligence; customized parking scenarios; AI agent; intelligent systems
Citations in Scopus 0 - View on Scopus
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