@inproceedings{095c2941d0b940d6a95565b73e646f1e,
title = "Don{\textquoteright}t Go That Way! Risk-Aware Decision Making for Autonomous Vehicles",
abstract = "Accurately predicting risk or potentially risky situations is critical for the safe operation of autonomous systems. Risk refers to the expected likelihood of an undesirable outcome, such as a collision. We draw on an existing conceptualization of the risk to evaluate a robot{\textquoteright}s options (e.g. choice of a path to travel). In this context, risk consists of two components: 1) the probability of an undesirable outcome computed by a Bayesian Network (BN) and 2) an estimate of the loss associated with the undesirable outcome. We demonstrate that our risk assessment tool is effective at computing the anticipated risk over a wide variety of the robot{\textquoteright}s options and selecting the option with the lowest risk for two different types of autonomous systems: An Autonomous Vehicle (AV) operating near a college campus and a pair of Unmanned Aerial Vehicles (UAVs) flying from Washington DC to Baltimore. The method for assessing risk is used to identify higher risk routes, days to travel, and travel times for an autonomous vehicle and higher risk routes for a UAV.",
author = "Kasra Mokhtari and Lang, {Kendra A.} and Wagner, {Alan R.}",
note = "Funding Information: Acknowledgment. This work was supported by Air Force Office of Sponsored Research contract FA9550-17-1-0017 and Navy STTR contract N68335-19-C-0106. Funding Information: This work was supported by Air Force Office of Sponsored Research contract FA9550-17-1-0017 and Navy STTR contract N68335-19-C-0106. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 12th International Conference on Social Robotics, ICSR 2020 ; Conference date: 14-11-2020 Through 18-11-2020",
year = "2020",
doi = "10.1007/978-3-030-62056-1_24",
language = "English (US)",
isbn = "9783030620554",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "284--295",
editor = "Wagner, {Alan R.} and David Feil-Seifer and Haring, {Kerstin S.} and Silvia Rossi and Thomas Williams and Hongsheng He and {Sam Ge}, Shuzhi",
booktitle = "Social Robotics - 12th International Conference, ICSR 2020, Proceedings",
address = "Germany",
}