Social interactions for autonomous driving: A review and perspectives
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …
their goals in social traffic scenes. A rational human driver can interact with other road users …
A survey of deep RL and IL for autonomous driving policy learning
Z Zhu, H Zhao - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …
Game-theoretic planning for self-driving cars in multivehicle competitive scenarios
In this article, we propose a nonlinear receding horizon game-theoretic planner for
autonomous cars in competitive scenarios with other cars. The online planner is specifically …
autonomous cars in competitive scenarios with other cars. The online planner is specifically …
Game-theoretic lane-changing decision making and payoff learning for autonomous vehicles
In this paper, the problem of decision making for autonomous vehicles changing lanes is
addressed by formulating multiple games in normal form for pairs of agents. This formulation …
addressed by formulating multiple games in normal form for pairs of agents. This formulation …
Distributed cooperative trajectory and lane changing optimization of connected automated vehicles: Freeway segments with lane drop
This study presents a methodology for optimal control of connected automated vehicles
(CAVs) in freeway segments with a lane drop. Lane drops can create bottlenecks with a …
(CAVs) in freeway segments with a lane drop. Lane drops can create bottlenecks with a …
[PDF][PDF] Game Theoretic Planning for Self-Driving Cars in Competitive Scenarios.
We propose a nonlinear receding horizon gametheoretic planner for autonomous cars in
competitive scenarios with other cars. The online planner is specifically formulated for a two …
competitive scenarios with other cars. The online planner is specifically formulated for a two …
A cooperative lane change model for connected and automated vehicles
The emerging technology of vehicle-to-vehicle (V2V) communication, vehicle-to-
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …
Enhancing game-theoretic autonomous car racing using control barrier functions
In this paper, we consider a two-player racing game, where an autonomous ego vehicle has
to be controlled to race against an opponent vehicle, which is either autonomous or human …
to be controlled to race against an opponent vehicle, which is either autonomous or human …
Distributed reinforcement learning for cooperative multi-robot object manipulation
We consider solving a cooperative multi-robot object manipulation task using reinforcement
learning (RL). We propose two distributed multi-agent RL approaches: distributed …
learning (RL). We propose two distributed multi-agent RL approaches: distributed …
A dynamical game approach for integrated stabilization and path tracking for autonomous vehicles
A new game theory based framework is proposed for path tracking and stabilization of
autonomous vehicles. In the developed framework, vehicle body and corner traction control …
autonomous vehicles. In the developed framework, vehicle body and corner traction control …