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 …
Verification and validation methods for decision-making and planning of automated vehicles: A review
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …
Advanced planning for autonomous vehicles using reinforcement learning and deep inverse reinforcement learning
Autonomous vehicles promise to improve traffic safety while, at the same time, increase fuel
efficiency and reduce congestion. They represent the main trend in future intelligent …
efficiency and reduce congestion. They represent the main trend in future intelligent …
Game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems
Autonomous driving has been the subject of incre-ased interest in recent years both in
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
Multimodal probabilistic model-based planning for human-robot interaction
E Schmerling, K Leung, W Vollprecht… - … on Robotics and …, 2018 - ieeexplore.ieee.org
This paper presents a method for constructing human-robot interaction policies in settings
where multimodality, ie, the possibility of multiple highly distinct futures, plays a critical role …
where multimodality, ie, the possibility of multiple highly distinct futures, plays a critical role …
CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments
This study develops a Complete LAne-Changing Decision (CLACD) modeling framework
that explains both the mandatory and discretionary lane-changing behaviors, incorporates …
that explains both the mandatory and discretionary lane-changing behaviors, incorporates …
Game-theoretic modeling of multi-vehicle interactions at uncontrolled intersections
Motivated by the need for simulation tools for testing, verification and validation of
autonomous driving systems that operate in traffic consisting of both autonomous and …
autonomous driving systems that operate in traffic consisting of both autonomous and …
Modeling cyber-physical human systems via an interplay between reinforcement learning and game theory
Predicting the outcomes of cyber-physical systems with multiple human interactions is a
challenging problem. This article reviews a game theoretical approach to address this issue …
challenging problem. This article reviews a game theoretical approach to address this issue …
Game theoretic modeling of vehicle interactions at unsignalized intersections and application to autonomous vehicle control
In this paper, we discuss a game theoretic approach to model the time-extended, multi-step,
and interactive decision making of vehicles at unsignalized intersections. The vehicle …
and interactive decision making of vehicles at unsignalized intersections. The vehicle …
Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving
This paper proposes a cooperative lane changing strategy using a transferable utility games
framework. This allows vehicles to engage in transactions where gaps in traffic are created …
framework. This allows vehicles to engage in transactions where gaps in traffic are created …