TY - GEN
T1 - Enhancing autonomous vehicles with commonsense
T2 - 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017
AU - Persaud, Priya
AU - Varde, Aparna S.
AU - Robila, Stefan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Recent advances in AI include a Law firm hiring a robot lawyer and companies developing autonomous vehicles with robot drivers. Findings from our study have gauged the current cognitive capacity of such systems, indicating areas for improvement. We focus on autonomous vehicles, i.e., those that conduct automated driving and need to make autonomous, i.e., independent decisions. We propose an approach enabled with commonsense knowledge (CSK) from worldwide repositories to simulate intuitive humanlike decision-making in autonomous vehicles. We consider the repository WebChild with a multitude of CSK concepts, properties and relations. We investigate this and related domain-specific knowledge bases (domain KBs) to harness them within our proposed approach. Accordingly we build a transportation domain KB incorporating CSK and the needs of autonomous vehicles. This would be useful in guiding automated driving and making the systems get closer to the thresholds of human cognition. This work thereby makes contributions to smart mobility in smart cities. The paper presents our vision with design, implementation, experiments, recommendations and a future roadmap. As a broader impact, it propels more joint work between AI, Law and related areas.
AB - Recent advances in AI include a Law firm hiring a robot lawyer and companies developing autonomous vehicles with robot drivers. Findings from our study have gauged the current cognitive capacity of such systems, indicating areas for improvement. We focus on autonomous vehicles, i.e., those that conduct automated driving and need to make autonomous, i.e., independent decisions. We propose an approach enabled with commonsense knowledge (CSK) from worldwide repositories to simulate intuitive humanlike decision-making in autonomous vehicles. We consider the repository WebChild with a multitude of CSK concepts, properties and relations. We investigate this and related domain-specific knowledge bases (domain KBs) to harness them within our proposed approach. Accordingly we build a transportation domain KB incorporating CSK and the needs of autonomous vehicles. This would be useful in guiding automated driving and making the systems get closer to the thresholds of human cognition. This work thereby makes contributions to smart mobility in smart cities. The paper presents our vision with design, implementation, experiments, recommendations and a future roadmap. As a broader impact, it propels more joint work between AI, Law and related areas.
KW - AI and law
KW - Automated driving
KW - Commonsense Knowledge
KW - Domain KBs
KW - Object detection
KW - Smart mobility
UR - http://www.scopus.com/inward/record.url?scp=85048459877&partnerID=8YFLogxK
U2 - 10.1109/ICTAI.2017.00155
DO - 10.1109/ICTAI.2017.00155
M3 - Conference contribution
AN - SCOPUS:85048459877
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 1008
EP - 1012
BT - Proceedings - 2017 International Conference on Tools with Artificial Intelligence, ICTAI 2017
PB - IEEE Computer Society
Y2 - 6 November 2017 through 8 November 2017
ER -