TY - GEN
T1 - Dynamic Collaborative Path Planning for Remote Assistance of Highly-Automated Vehicles
AU - Majstorovic, Domagoj
AU - Diermeyer, Frank
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Given its increasing popularity in recent years, teleoperation technology is now recognized as a robust fallback solution for Automated Driving (AD). Remote Assistance (RA) represents an event-driven class of teleoperation with a distinct division of tasks between the Autonomous Vehicle (AV) and the remote human operator. This paper presents a novel approach for RA of AVs in urban environments. The concept draws in-spiration from the potential synergy between highly-automated systems and human operators to collaboratively solve complex driving situations. Utilizing a hybrid algorithm that makes use of the Operational Design Domain (ODD) modification idea, it considers actions that go beyond the nominal operational space. Combined with the advanced cognitive reasoning of the human remote operator the concept offers features that hold potential to significantly improve both RA and AD user experiences.
AB - Given its increasing popularity in recent years, teleoperation technology is now recognized as a robust fallback solution for Automated Driving (AD). Remote Assistance (RA) represents an event-driven class of teleoperation with a distinct division of tasks between the Autonomous Vehicle (AV) and the remote human operator. This paper presents a novel approach for RA of AVs in urban environments. The concept draws in-spiration from the potential synergy between highly-automated systems and human operators to collaboratively solve complex driving situations. Utilizing a hybrid algorithm that makes use of the Operational Design Domain (ODD) modification idea, it considers actions that go beyond the nominal operational space. Combined with the advanced cognitive reasoning of the human remote operator the concept offers features that hold potential to significantly improve both RA and AD user experiences.
KW - automated
KW - driving
KW - remote assistance
KW - teleoperation
UR - http://www.scopus.com/inward/record.url?scp=85180129932&partnerID=8YFLogxK
U2 - 10.1109/IAVVC57316.2023.10328097
DO - 10.1109/IAVVC57316.2023.10328097
M3 - Conference contribution
AN - SCOPUS:85180129932
T3 - IAVVC 2023 - IEEE International Automated Vehicle Validation Conference, Proceedings
BT - IAVVC 2023 - IEEE International Automated Vehicle Validation Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023
Y2 - 16 October 2023 through 18 October 2023
ER -