Interpretable decision-making for autonomous vehicles at highway on-ramps with latent space reinforcement learning
H Wang, H Gao, S Yuan, H Zhao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper presents a latent space reinforcement learning method for interpretable decision-
making of autonomous vehicles at highway on-ramps. This method is based on the latent …
making of autonomous vehicles at highway on-ramps. This method is based on the latent …
Interpretable goal-based prediction and planning for autonomous driving
We propose an integrated prediction and planning system for autonomous driving which
uses rational inverse planning to recognise the goals of other vehicles. Goal recognition …
uses rational inverse planning to recognise the goals of other vehicles. Goal recognition …
Learning highway ramp merging via reinforcement learning with temporally-extended actions
Several key scenarios, such as intersection navigation, lane changing, and ramp merging,
are active areas of research in autonomous driving. In order to properly navigate these …
are active areas of research in autonomous driving. In order to properly navigate these …
Covert attacks through adversarial learning: Study of lane keeping attacks on the safety of autonomous vehicles
Road management systems are to improve in terms of integrity, mobility, sustainability, and
safety by the adoption of artificial intelligence and Internet of Things services. This article …
safety by the adoption of artificial intelligence and Internet of Things services. This article …
How to protect smart and autonomous vehicles from stealth viruses and worms
M Chen, M Yan - ISA transactions, 2023 - Elsevier
Smart and autonomous vehicles are inseparable parts of the future Intelligent Transportation
Systems (ITS). However, ITS components, and especially its vehicles, are prone to cyber …
Systems (ITS). However, ITS components, and especially its vehicles, are prone to cyber …
Highway on-ramp merging for mixed traffic: Recent advances and future trends
SA Fernandez, MAM Marinho… - 2021 IEEE 29th …, 2021 - ieeexplore.ieee.org
Due to the ability to support a wide range of applications and to involve infrastructure
elements, connected and automated vehicles (CAVs) technology has played an important …
elements, connected and automated vehicles (CAVs) technology has played an important …
Automated driving highway traffic merging using deep multi-agent reinforcement learning in continuous state-action spaces
L Schester, LE Ortiz - 2021 IEEE Intelligent Vehicles …, 2021 - ieeexplore.ieee.org
Achieving the highest levels of automated driving will require effective solutions to the key
challenging maneuver of highway on-ramp merging. This paper extends our previous work …
challenging maneuver of highway on-ramp merging. This paper extends our previous work …
Merging in a Coupled Driving Simulator: How do drivers resolve conflicts?
Traffic interactions between merging and highway vehicles are a major topic of research,
yielding many empirical studies and models of driver behaviour. Most of these studies on …
yielding many empirical studies and models of driver behaviour. Most of these studies on …
Human Merging Behaviour in a Coupled Driving Simulator: How Do We Resolve Conflicts?
O Siebinga, A Zgonnikov… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Traffic interactions between merging and highway vehicles are a major topic of research,
yielding many empirical studies and models of driver behaviour. Most of these studies on …
yielding many empirical studies and models of driver behaviour. Most of these studies on …
Multi-Agent Reinforcement Learning Autonomous Driving Highway On-Ramp Merge
L Schester - 2023 - deepblue.lib.umich.edu
Autonomous driving is expected to become more common in the future. Autonomous
vehicles operate today in limited use cases like highway driving and in major cities as …
vehicles operate today in limited use cases like highway driving and in major cities as …