Autonomous Driving:​

We study the autonomous driving problem as a single agent and as a multiagent problem from a cooperative point of view in the presence of humans.
We tackle the problem of autonomous driving in complex & competitive mixed-autonomy environments, where autonomous agents can interact with each other and with humans

Publications:

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Cooperative Autonomous Vehicles that Sympathize with Human Drivers

Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

cooperative driving
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CONNECTED AND AUTONOMOUS VEHICLES IN THE DEEP LEARNING ERA: A CASE STUDY ON COMPUTER-GUIDED STEERING

Rodolfo Valiente, Mahdi Zaman,  Yaser P. Fallah, Sedat Ozer

2020 Handbook of Pattern Recognition and Computer Vision

 
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Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks

Rodolfo Valiente, Mahdi Zaman, Sedat Ozer, Yaser P. Fallah

2019 IEEE Symposium on Intelligent Vehicle (IV)

 
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Dynamic object map based architecture for robust CVS systems

Rodolfo Valiente, Arash Raftari, Mahdi Zaman, Yaser P. Fallah, S Mahmud

2020 SAE Technical Paper

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Poster:

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Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks

Rodolfo Valiente, Rodolfo Valiente, Rodolfo Valiente, Rodolfo Valiente Romero