Title
Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach
Document Type
Technical Report
Publication Date
3-9-2022
Publication Title
ACM HotMobile 2022
Publisher Location
Tempe, AZ
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.
Recommended Citation
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
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
