VADtalk: An Internet of Vehicles Platform Facilitating Anomaly Detection Modeling and Deployment for Self-Driving Vehicles

Yi Cheng Lu, Shun Ren Yang, Phone Lin, Chih Wei Huang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In recent years, self-driving vehicles have gradually been appearing on the road, but society has also begun to worry about the possibility of accidents caused by the anomaly self-driving system. Many researchers have begun to study the anomaly detection of self-driving vehicles, and each has proposed different detection algorithms. However, since self-driving vehicles are not yet popular, how to collect data, simulate attacks, and verify and compare multiple algorithms is a major obstacle to research. In this regard, we built an Internet of Vehicles platform, VADtalk, that facilitate anomaly detection modeling and deployment for self-driving vehicles. VADtalk contains programs such as anomaly detection model training and vehicle connection. When developers complete model uploading and setting through the GUI, the platform will automatically collect self-driving data, train the model, and even verify the operation of the model using a self-driving simulator, and then provide the results to the developer. After the developer determines the model, VADtalk can connect the trained model with the self-driving vehicle to actually perform real-time anomaly detection on it.

原文???core.languages.en_GB???
主出版物標題2023 International Wireless Communications and Mobile Computing, IWCMC 2023
發行者Institute of Electrical and Electronics Engineers Inc.
頁面733-738
頁數6
ISBN(電子)9798350333398
DOIs
出版狀態已出版 - 2023
事件19th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2023 - Hybrid, Marrakesh, Morocco
持續時間: 19 6月 202323 6月 2023

出版系列

名字2023 International Wireless Communications and Mobile Computing, IWCMC 2023

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???event.eventtypes.event.conference???19th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2023
國家/地區Morocco
城市Hybrid, Marrakesh
期間19/06/2323/06/23

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