Search Results - "Kuutti, Sampo"

A Survey of Deep Learning Applications to Autonomous Vehicle Control by Kuutti, Sampo, Bowden, Richard, Jin, Yaochu, Barber, Phil, Fallah, Saber

“…Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex…”
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Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages by Kuutti, Sampo, Bowden, Richard, Fallah, Saber

“…The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the opaqueness of the resulting…”
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A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications by Kuutti, Sampo, Fallah, Saber, Katsaros, Konstantinos, Dianati, Mehrdad, Mccullough, Francis, Mouzakitis, Alexandros

“…For an autonomous vehicle to operate safely and effectively, an accurate and robust localization system is essential. While there are a variety of vehicle…”
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Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies by Kuutti, Sampo, Fallah, Saber, Bowden, Richard

“…Deep learning has become an increasingly common technique for various control problems, such as robotic arm manipulation, robot navigation, and autonomous…”
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ARC: Adversarially Robust Control Policies for Autonomous Vehicles by Kuutti, Sampo, Fallah, Saber, Bowden, Richard

“…Deep neural networks have demonstrated their capability to learn control policies for a variety of tasks. However, these neural network-based policies have…”
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Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data by Kuutti, Sampo, Fallah, Saber, Bowden, Richard

“…Imitation learning has been widely used to learn control policies for autonomous driving based on pre-recorded data. However, imitation learning based policies…”
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ARC: Adversarially Robust Control Policies for Autonomous Vehicles by Kuutti, Sampo, Fallah, Saber, Bowden, Richard

“…Deep neural networks have demonstrated their capability to learn control policies for a variety of tasks. However, these neural network-based policies have…”
Get full text

Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data by Kuutti, Sampo, Fallah, Saber, Bowden, Richard

“…Imitation learning has been widely used to learn control policies for autonomous driving based on pre-recorded data. However, imitation learning based policies…”
Get full text

Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages by Kuutti, Sampo, Bowden, Richard, Fallah, Saber

“…Sensors 2021, 21, 2032 The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the…”
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End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context by Kuutti, Sampo, Bowden, Richard, Joshi, Harita, Temple, Robert de, Fallah, Saber

“…Reinforcement learning has been used widely for autonomous longitudinal control algorithms. However, many existing algorithms suffer from sample inefficiency…”
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Self-adaptive Torque Vectoring Controller Using Reinforcement Learning by Taherian, Shayan, Kuutti, Sampo, Visca, Marco, Fallah, Saber

“…Continuous direct yaw moment control systems such as torque-vectoring controller are an essential part for vehicle stabilization. This controller has been…”
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Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies by Kuutti, Sampo, Fallah, Saber, Bowden, Richard

“…Deep learning has become an increasingly common technique for various control problems, such as robotic arm manipulation, robot navigation, and autonomous…”
Get full text

Deep Learning Traversability Estimator for Mobile Robots in Unstructured Environments by Visca, Marco, Kuutti, Sampo, Powell, Roger, Gao, Yang, Fallah, Saber

“…Terrain traversability analysis plays a major role in ensuring safe robotic navigation in unstructured environments. However, real-time constraints frequently…”
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Self-adaptive Torque Vectoring Controller Using Reinforcement Learning by Taherian, Shayan, Kuutti, Sampo, Visca, Marco, Fallah, Saber

“…Continuous direct yaw moment control systems such as torque-vectoring controller are an essential part for vehicle stabilization. This controller has been…”
Get full text

A Survey of Deep Learning Applications to Autonomous Vehicle Control by Kuutti, Sampo, Bowden, Richard, Jin, Yaochu, Barber, Phil, Fallah, Saber

“…Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex…”
Get full text