What is it about?
We have proposed building a reputation system for road-side fixtures based on multiple parameters including and not limited to image recognition systems to identify the road sign, mapping information to determine if the observed road sign is legitimate, real-time traffic information from the high precision map, previously captured historical information, the overall safety score of the area of the present location of the vehicle, etc. This system is designed such that it could accommodate sparse information or be integrated with existing mature infrastructure. By applying a combination of crowd-sourced information and real-time feedback, this system provides multiple safety applications, ranging from threat mitigation to crash avoidance. It provides cautionary feedback to the vehicle, and promotes the idea of having autonomous vehicles coexist with their more legacy counterparts.
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Why is it important?
This research is important because it explores a new area of research, it operates at the intersection of cybersecurity and human machine interaction.
Perspectives
This research introduces a new area of possible security research in the design of AV's, which has mostly been ignored. Recent advances in AV's in the commercial space show that decisions made by the vehicles is largely based on the world as it sees it, without thought to other factors. This research speaks out against that argument and argues that more thought needs to be given to the decision being made. More than anything else, and if nothing else, I hope you find this article thought-provoking.
Dr. Pallavi Meharia
Apple Inc
Read the Original
This page is a summary of: Establishing vehicular ground truth, December 2016, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/vnc.2016.7835932.
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