Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections
D Attard, J Bajada - arXiv preprint arXiv:2401.04980, 2024 - arxiv.org
In recent years, significant advancements have been made in the field of autonomous
driving with the aim of increasing safety and efficiency. However, research that focuses on …
driving with the aim of increasing safety and efficiency. However, research that focuses on …
Safe autonomous vehicles navigation in roundabouts with cooperative perception from an intelligent infrastructure
S Masi - 2021 - hal.univ-reunion.fr
Although autonomous vehicle technology has evolved significantly in recent years, the
navigation of self-driving vehicles in complex scenarios is still an open issue. One of the …
navigation of self-driving vehicles in complex scenarios is still an open issue. One of the …
Intelligent roundabout insertion using deep reinforcement learning
AP Capasso, G Bacchiani, D Molinari - arXiv preprint arXiv:2001.00786, 2020 - arxiv.org
An important topic in the autonomous driving research is the development of maneuver
planning systems. Vehicles have to interact and negotiate with each other so that optimal …
planning systems. Vehicles have to interact and negotiate with each other so that optimal …
Behaviour modelling of Vehicles at a Roundabout
SA Magavi - 2020 - diva-portal.org
We often see that Autonomous Vehicles can freely move to any given position using various
machine learning techniques and dynamic algorithms for path planning and obstacle …
machine learning techniques and dynamic algorithms for path planning and obstacle …
A curvilinear decision method for two-lane roundabout crossing and its validation under realistic traffic flow
S Masi, P Xu, P Bonnifait - 2020 IEEE intelligent vehicles …, 2020 - ieeexplore.ieee.org
Autonomous vehicles navigation in complex scenarios is still an open issue. One of the
major challenges is the safe navigation of autonomous vehicles on roads open to public …
major challenges is the safe navigation of autonomous vehicles on roads open to public …
Imitation learning based decision-making for autonomous vehicle control at traffic roundabouts
The essential of developing an advanced driving assistance system is to learn human-like
decisions to enhance driving safety. When controlling a vehicle, joining roundabouts …
decisions to enhance driving safety. When controlling a vehicle, joining roundabouts …
Grip++: Enhanced graph-based interaction-aware trajectory prediction for autonomous driving
Despite the advancement in the technology of autonomous driving cars, the safety of a self-
driving car is still a challenging problem that has not been well studied. Motion prediction is …
driving car is still a challenging problem that has not been well studied. Motion prediction is …
End-to-end intersection handling using multi-agent deep reinforcement learning
AP Capasso, P Maramotti, A Dell'Eva… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Navigating through intersections is one of the main challenging tasks for an autonomous
vehicle. However, for the majority of intersections regulated by traffic lights, the problem …
vehicle. However, for the majority of intersections regulated by traffic lights, the problem …
Grip: Graph-based interaction-aware trajectory prediction
Nowadays, autonomous driving cars have become commercially available. However, the
safety of a self-driving car is still a challenging problem that has not been well studied …
safety of a self-driving car is still a challenging problem that has not been well studied …
Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation
BB Elallid, H El Alaoui… - … Conference on Innovation …, 2023 - ieeexplore.ieee.org
In this paper, we explore the challenges associated with navigating complex T-intersections
in dense traffic scenarios for autonomous vehicles (AVs). Reinforcement learning algorithms …
in dense traffic scenarios for autonomous vehicles (AVs). Reinforcement learning algorithms …