Felipe Codevilla

Action-Based Representation Learning for Autonomous Driving

Oct 24, 2020

Action-Based Representation Learning for Autonomous Driving

Yi Xiao, Felipe Codevilla, Christopher Pal, Antonio M. Lopez. CoRL 2020 Abstract Human drivers produce a vast amount of data which could,...

Multimodal End-to-End Autonomous Driving

Aug 15, 2019

Multimodal End-to-End Autonomous Driving

Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López Abstract Autonomous vehicles (AVs) are key for the intelligent...

Exploring the limitations of behavior cloning for autonomous driving.

Apr 30, 2019

Exploring the limitations of behavior cloning for autonomous driving.

F Codevilla, E Santana, AM López, A Gaidon ICCV 2019 Abstract Driving requires reacting to a wide variety of complex environment...

On Offline Evaluation of Vision-based Driving Models

Jul 26, 2018

On Offline Evaluation of Vision-based Driving Models

Felipe Codevilla, Antonio M. Lopez, Vladlen Koltun, Alexey Dosovitskiy. ECCV 2018 Abstract Autonomous driving models should ideally be...

End-to-end driving via conditional imitation learning

May 16, 2018

End-to-end driving via conditional imitation learning

Felipe Codevilla, Matthias Miiller, Antonio López, Vladlen Koltun, Alexey Dosovitskiy. ICRA 2018 Abstract Deep networks trained on...