Title
Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data
Abstract
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 - 4000× 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.
Year
DOI
Venue
2018
10.1109/DSN.2018.00066
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
Keywords
Field
DocType
Autonomous Vehicles,Reliability,Fault Characterization,Disengagement,Accident
Mile,Aeronautics,Field data,Computer science,Real-time computing,Vehicle dynamics,Disengagement theory,Perception
Conference
ISSN
ISBN
Citations 
1530-0889
978-1-5386-5597-9
9
PageRank 
References 
Authors
0.91
15
5
Name
Order
Citations
PageRank
Subho S. Banerjee1266.88
Saurabh Jha292.94
James Cyriac3111.61
?zg???ner43318.65
Ravishankar K. Iyer53489504.32