TY - GEN
T1 - Hands off the wheel in autonomous vehicles?
T2 - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018
AU - Banerjee, Subho S.
AU - Jha, Saurabh
AU - Cyriac, James
AU - Kalbarczyk, Zbigniew T.
AU - Iyer, Ravishankar K.
N1 - Funding Information:
ACKNOWLEDGMENTS This material is based upon work supported by an IBM Faculty Award, and by the National Science Foundation (NSF) under Grant Nos. CNS 13-14891 and CNS 15-45069. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. We thank K. Atchley, J. Applequist, W. S. B. M. Lim, and A. P. Athreya for their help in preparing the manuscript.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/19
Y1 - 2018/7/19
N2 - Autonomous vehicle (AV) technology is rapidly becoming a reality on U.S. roads, offering the promise of improvements in traffic management, safety, and the comfort and efficiency of vehicular travel. The California Department of Motor Vehicles (DMV) reports that between 2014 and 2017, manufacturers tested 144 AVs, driving a cumulative 1,116,605 autonomous miles, and reported 5,328 disengagements and 42 accidents involving AVs on public roads. This paper investigates the causes, dynamics, and impacts of such AV failures by analyzing disengagement and accident reports obtained from public DMV databases. We draw several conclusions. For example, we find that autonomous vehicles are 15 - 4000Ã - worse than human drivers for accidents per cumulative mile driven; that drivers of AVs need to be as alert as drivers of non-AVs; and that the AVs' machine-learning-based systems for perception and decision-and-control are the primary cause of 64% of all disengagements.
AB - Autonomous vehicle (AV) technology is rapidly becoming a reality on U.S. roads, offering the promise of improvements in traffic management, safety, and the comfort and efficiency of vehicular travel. The California Department of Motor Vehicles (DMV) reports that between 2014 and 2017, manufacturers tested 144 AVs, driving a cumulative 1,116,605 autonomous miles, and reported 5,328 disengagements and 42 accidents involving AVs on public roads. This paper investigates the causes, dynamics, and impacts of such AV failures by analyzing disengagement and accident reports obtained from public DMV databases. We draw several conclusions. For example, we find that autonomous vehicles are 15 - 4000Ã - worse than human drivers for accidents per cumulative mile driven; that drivers of AVs need to be as alert as drivers of non-AVs; and that the AVs' machine-learning-based systems for perception and decision-and-control are the primary cause of 64% of all disengagements.
KW - Accident
KW - Autonomous Vehicles
KW - Disengagement
KW - Fault Characterization
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=85051079564&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051079564&partnerID=8YFLogxK
U2 - 10.1109/DSN.2018.00066
DO - 10.1109/DSN.2018.00066
M3 - Conference contribution
AN - SCOPUS:85051079564
T3 - Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018
SP - 586
EP - 597
BT - Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 June 2018 through 28 June 2018
ER -