Article
Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach
ACM HotMobile 2022
Document Type
Technical Report
Publication Date
3-9-2022
Pages
128
Publisher Name
ACM
Publisher Location
Tempe, AZ
Disciplines
Abstract
As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are becoming more important. Despite extensive testing, AVs do not always identify roadway hazards. Failures in object recognition components have already led to several fatal collisions, e.g. as a result of faults in sensors, software, or vantage point. Although a particular AV may fail, there is an untapped pool of information held by other AVs in the vicinity that could be used to identify roadway hazards before they present a safety threat.
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Copyright Statement
©The Authors, 2022.
Citation Information
Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, and Younghyun Kim. 2022. Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach. In Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications (HotMobile '22). Association for Computing Machinery, New York, NY, USA, 128. DOI:https://doi.org/10.1145/3508396.3517075
Author Posting ©The Authors, 2022. This article is posted here by permission of the ACM for personal use. The article was published in HotMobile '22: Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications, Page 128, March 2022, https://doi.org/10.1145/3508396.3517075.