IFAC CPHS 2024

4C: Custom-and-Correct-by-Construction Controller Synthesis using Multi-modal Human Feedback

4C: Custom-and-Correct-by-Construction Controller Synthesis using Multi-modal Human Feedback

This work addresses the challenge of generating custom and naturalistic autonomous vehicle behaviors to meet individual user expectations while ensuring safety.

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HSCC 2024

Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles

Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles

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.

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RA-L 2024

A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles

A Safe Preference Learning Approach for Personalization With Applications to Autonomous Vehicles

This work introduces a preference learning method that ensures adherence to traffic rules for autonomous vehicles.

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FORMATS 2022

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Classification of Driving Behaviors Using STL Formulas: A Comparative Study

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.

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