Deep reinforcement learning enabled decision-making for autonomous driving at intersections
Road intersection is one of the most complex and accident-prone traffic scenarios, so it's
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …
Continuous decision‐making for autonomous driving at intersections using deep deterministic policy gradient
Intersections have been identified as the most complex and accident‐prone traffic scenarios
on road. Making appropriate decisions at intersections for driving safety, efficiency, and …
on road. Making appropriate decisions at intersections for driving safety, efficiency, and …
Decentralized cooperative crossing at unsignalized intersections via vehicle-to-vehicle communication in mixed traffic flows
Abstract Connected Autonomous Vehicles (CAVs) are going to share the road environment
with human drivers until their full market deployment achievement. In this context, this paper …
with human drivers until their full market deployment achievement. In this context, this paper …
Trends in vehicle motion control for automated driving on public roads
In this paper, we describe how vehicle systems and the vehicle motion control are affected
by automated driving on public roads. We describe the redundancy needed for a road …
by automated driving on public roads. We describe the redundancy needed for a road …
Learning automated driving in complex intersection scenarios based on camera sensors: A deep reinforcement learning approach
Making proper decisions at intersections that are one of the most dangerous and
sophisticated driving scenarios is full of challenges, especially for autonomous vehicles …
sophisticated driving scenarios is full of challenges, especially for autonomous vehicles …
Scenario establishment and characteristic analysis of intersection collision accidents for advanced driver assistance systems
I Han - Traffic injury prevention, 2020 - Taylor & Francis
Objective: Intersection collision is the most common type of vehicle accidents, and it is more
complicated and has more variables compared to straight road collisions. Intersection …
complicated and has more variables compared to straight road collisions. Intersection …
Advanced driver assistance strategies for a single-vehicle overtaking a platoon on the two-lane two-way road
Recently, the ever-increasing vehicle population has become a severe challenge to traffic
safety, especially the problem of a single-vehicle overtaking a platoon on the Two-Lane Two …
safety, especially the problem of a single-vehicle overtaking a platoon on the Two-Lane Two …
Coordinated chassis control of a tractor-semitrailer combination operating at its handling limits using the MHA methodology
A Noori Asiabar, T Gordon, Y Gao… - Vehicle System …, 2024 - Taylor & Francis
The performance benefits associated with coordinated control of a tractor-semitrailer
combination are tested in this paper. More specifically, the paper evaluates performance as …
combination are tested in this paper. More specifically, the paper evaluates performance as …
Autonomous wary collision avoidance
Handling of critical situations is an important part in the architecture of an autonomous
vehicle. A controller for autonomous collision avoidance is developed based on a wary …
vehicle. A controller for autonomous collision avoidance is developed based on a wary …
Attainable force volumes of optimal autonomous at-the-limit vehicle manoeuvres
With new developments in sensor technology, a new generation of vehicle dynamics
controllers is developing, where the braking and steering strategies use more information …
controllers is developing, where the braking and steering strategies use more information …