Sampo Kuutti

Orcid: 0000-0002-7020-4370

According to our database1, Sampo Kuutti authored at least 11 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
A Survey of Deep Learning Applications to Autonomous Vehicle Control.
IEEE Trans. Intell. Transp. Syst., 2021

Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages.
Sensors, 2021

Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments.
Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

Self-adaptive Torque Vectoring Controller Using Reinforcement Learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

ARC: Adversarially Robust Control Policies for Autonomous Vehicles.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects
Synthesis Lectures on Advances in Automotive Technology, Morgan & Claypool Publishers, ISBN: 978-3-031-01502-1, 2019

End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018
A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications.
IEEE Internet Things J., 2018


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