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2020 – today
- 2021
[j3]Sampo Kuutti
, Richard Bowden, Saber Fallah:
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages. Sensors 21(6): 2032 (2021)- [j2]Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah:
A Survey of Deep Learning Applications to Autonomous Vehicle Control. IEEE Trans. Intell. Transp. Syst. 22(2): 712-733 (2021) - [c7]Shayan Taherian, Sampo Kuutti, Marco Visca, Saber Fallah:
Self-adaptive Torque Vectoring Controller Using Reinforcement Learning. ITSC 2021: 172-179 - [c6]Sampo Kuutti, Saber Fallah, Richard Bowden:
ARC: Adversarially Robust Control Policies for Autonomous Vehicles. ITSC 2021: 522-529 - [c5]Sampo Kuutti, Saber Fallah, Richard Bowden:
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data. ITSC 2021: 705-711 - [c4]Marco Visca, Sampo Kuutti, Roger S. Powell, Yang Gao, Saber Fallah:
Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments. TAROS 2021: 203-213 - [i7]Sampo Kuutti, Richard Bowden, Saber Fallah:
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages. CoRR abs/2103.09726 (2021) - [i6]Shayan Taherian, Sampo Kuutti, Marco Visca, Saber Fallah:
Self-adaptive Torque Vectoring Controller Using Reinforcement Learning. CoRR abs/2103.14892 (2021) - [i5]Marco Visca, Sampo Kuutti, Roger S. Powell, Yang Gao, Saber Fallah:
Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments. CoRR abs/2105.10937 (2021) - [i4]Sampo Kuutti, Saber Fallah, Richard Bowden:
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data. CoRR abs/2107.04485 (2021) - [i3]Sampo Kuutti, Saber Fallah, Richard Bowden:
ARC: Adversarially Robust Control Policies for Autonomous Vehicles. CoRR abs/2107.04487 (2021) - 2020
- [c3]Sampo Kuutti, Saber Fallah, Richard Bowden:
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies. ICRA 2020: 108-114 - [i2]Sampo Kuutti, Saber Fallah, Richard Bowden:
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies. CoRR abs/2002.12078 (2020)
2010 – 2019
- 2019
- [b1]Sampo Kuutti, Saber Fallah, Richard Bowden, Phil Barber:
Deep Learning for Autonomous Vehicle Control: Algorithms, State-of-the-Art, and Future Prospects. Synthesis Lectures on Advances in Automotive Technology, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00374-5 - [c2]Sampo Kuutti, Richard Bowden, Harita Joshi, Robert de Temple, Saber Fallah:
Safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages. IDEAL (2) 2019: 150-160 - [c1]Sampo Kuutti, Richard Bowden, Harita Joshi, Robert de Temple, Saber Fallah:
End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context. ITSC 2019: 2456-2462 - [i1]Sampo Kuutti, Richard Bowden, Yaochu Jin, Phil Barber, Saber Fallah:
A Survey of Deep Learning Applications to Autonomous Vehicle Control. CoRR abs/1912.10773 (2019) - 2018
- [j1]Sampo Kuutti, Saber Fallah, Konstantinos Katsaros, Mehrdad Dianati, Francis Mccullough, Alexandros Mouzakitis:
A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications. IEEE Internet Things J. 5(2): 829-846 (2018)
Coauthor Index
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