Lim, B. S., Keoh, S. L. and Thing, V. L.L. (2018) Autonomous Vehicle Ultrasonic Sensor Vulnerability and Impact Assessment. In: IEEE 4th World Forum on Internet of Things (WF-IoT), Singapore, 05-08 Feb 2018, ISBN 9781467399449 (doi: 10.1109/WF-IoT.2018.8355132)
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153507.pdf - Accepted Version 1MB |
Abstract
Vehicles today are relying more on technologies to bring about fully autonomous features. The conventional wirings within are being simplified into a network of electronic components, and this network is controlled via advanced sensing of the environment to make decisions in real-time. However, with the heavy reliance on the sensor readings, any inaccurate reading from the sensors could result in decisions that may cause life-threatening incidents. As such, this research focuses on the in-depth assessment of potential vulnerabilities of an important and commonly used obstacle sensing device, which is the ultrasonic sensor, in modern as well as autonomous vehicles. This research will help bring awareness to the car manufacturers and AV researchers so as to mitigate such issues.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Keoh, Dr Sye Loong |
| Authors: | Lim, B. S., Keoh, S. L., and Thing, V. L.L. |
| College/School: | College of Science and Engineering > School of Computing Science |
| ISBN: | 9781467399449 |
| Copyright Holders: | Copyright © 2018 IEEE |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
| Related URLs: |
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