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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 …
Model predictive control for autonomous ground vehicles: A review
This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …
Web3-based decentralized autonomous organizations and operations: Architectures, models, and mechanisms
Empowered by blockchain and Web3 technologies, decentralized autonomous
organizations (DAOs) are able to redefine resources, production relations, and …
organizations (DAOs) are able to redefine resources, production relations, and …
Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
A multi-vehicle game-theoretic framework for decision making and planning of autonomous vehicles in mixed traffic
To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …
particularly in complex traffic environments where autonomous vehicles (AVs) and human …
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 …
Interaction-aware trajectory prediction and planning for autonomous vehicles in forced merge scenarios
Merging is, in general, a challenging task for both human drivers and autonomous vehicles,
especially in dense traffic, because the merging vehicle typically needs to interact with other …
especially in dense traffic, because the merging vehicle typically needs to interact with other …
Simulation of vehicle interaction behavior in merging scenarios: A deep maximum entropy-inverse reinforcement learning method combined with game theory
Simulation testing based on virtual scenarios can improve the efficiency of safety testing for
high-level autonomous vehicles (AVs). In most traffic scenarios, such as merging scenarios …
high-level autonomous vehicles (AVs). In most traffic scenarios, such as merging scenarios …
Aggfollower: Aggressiveness informed car-following modeling
Car-following is the most common driving scenario where a following vehicle follows a lead
vehicle in the same lane. One crucial factor of car-following behavior is driving style which …
vehicle in the same lane. One crucial factor of car-following behavior is driving style which …