IFAC CPHS 2024
This work addresses the challenge of generating custom and naturalistic autonomous vehicle behaviors to meet individual user expectations while ensuring safety.
HSCC 2024
This work introduces an active preference learning method that ensures adherence to traffic rules for autonomous vehicles by decreasing the number of question asked to the user.
RA-L 2024
This work introduces a preference learning method that ensures adherence to traffic rules for autonomous vehicles.
FORMATS 2022
This work introduces an active preference learning method that ensures adherence to traffic rules for autonomous vehicles by decreasing the number of question asked to the user.