Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach

Jakob Veselsky; Jack West; Isaac Ahlgren; George K Thiruvathukal; Neil Klingensmith; Abhinav Goel; Wenxin Jiang; James C Davis; Kyuin Lee; Younghyun Kim

doi:10.1145/3508396.3517075

Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach

Jakob Veselsky, Jack West, Isaac Ahlgren, George K Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C Davis, Kyuin Lee, Younghyun Kim

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Computer Science: Faculty Publications and Other Works
DOIs	https://doi.org/10.1145/3508396.3517075
State	Published - Mar 9 2022

Keywords

context based authentication
vehicle to vehicle
security
sensor fusion
peer-to-peer
vehicle-to-vehicle

Disciplines

Computer Sciences
Information Security

Access to Document

10.1145/3508396.3517075License: Unspecified

Establishing Trust in Vehicle-to-Vehicle Coordination A Sensor FFinal published version, 941 KBLicense: Unspecified

https://dl.acm.org/doi/pdf/10.1145/3508396.3517075

Cite this

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title = "Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach",

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.",

keywords = "context based authentication, vehicle to vehicle, security, sensor fusion, peer-to-peer, vehicle-to-vehicle",

author = "Jakob Veselsky and Jack West and Isaac Ahlgren and Thiruvathukal, {George K} and Neil Klingensmith and Abhinav Goel and Wenxin Jiang and Davis, {James C} and Kyuin Lee and Younghyun Kim",

note = "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",

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doi = "10.1145/3508396.3517075",

language = "American English",

journal = "Computer Science: Faculty Publications and Other Works",

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AU - Veselsky, Jakob

AU - West, Jack

AU - Ahlgren, Isaac

AU - Thiruvathukal, George K

AU - Klingensmith, Neil

AU - Goel, Abhinav

AU - Jiang, Wenxin

AU - Davis, James C

AU - Lee, Kyuin

AU - Kim, Younghyun

N1 - 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

PY - 2022/3/9

Y1 - 2022/3/9

N2 - 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.

AB - 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.

KW - context based authentication

KW - vehicle to vehicle

KW - security

KW - sensor fusion

KW - peer-to-peer

KW - vehicle-to-vehicle

UR - https://ecommons.luc.edu/cs_facpubs/285

UR - https://ecommons.luc.edu/cs_facpubs/288

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JO - Computer Science: Faculty Publications and Other Works

JF - Computer Science: Faculty Publications and Other Works

ER -

Establishing Trust in Vehicle-to-Vehicle Coordination: A Sensor Fusion Approach

Abstract

Keywords

Disciplines

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Cite this