A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Game theoretic application to intersection management: A literature review
The emergence of vehicle-to-everything (V2X) technology offers new insights into
intersection management. This, however, has also presented new challenges, such as the …
intersection management. This, however, has also presented new challenges, such as the …
Intention prediction and mixed strategy nash equilibrium-based decision-making framework for autonomous driving in uncontrolled intersection
J Nan, W Deng, B Zheng - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Decision-making in uncontrolled intersection is one of the main challenges in urban
autonomous driving. This paper proposed a new decision-making framework in uncontrolled …
autonomous driving. This paper proposed a new decision-making framework in uncontrolled …
Efficient speed planning for autonomous driving in dynamic environment with interaction point model
Safely interacting with other traffic participants is one of the core requirements for
autonomous driving, especially in intersections and occlusions. Most existing approaches …
autonomous driving, especially in intersections and occlusions. Most existing approaches …
Human-like driving decision at unsignalized intersections based on game theory
D Li, G Liu, B Xiao - Proceedings of the Institution of …, 2023 - journals.sagepub.com
Unsignalized intersection driving is challenging for automated vehicles. For safe and
efficient performances, the diverse and dynamic behaviors of interacting vehicles should be …
efficient performances, the diverse and dynamic behaviors of interacting vehicles should be …
Autonomous vehicles' intended cooperative motion planning for unprotected turning at intersections
Turning behaviour is one of the most challenging driving manoeuvres that take place at
intersections. Autonomous vehicles (AVs) are often overly conservative in these scenarios …
intersections. Autonomous vehicles (AVs) are often overly conservative in these scenarios …
Human Inspired Autonomous Intersection Handling Using Game Theory
Left turning for autonomous vehicles at intersections is challenging due to the various
driving behaviors from different human drivers and the strong interaction between the …
driving behaviors from different human drivers and the strong interaction between the …
From Nash Q-learning to nash-MADDPG: Advancements in multiagent control for multiproduct flexible manufacturing systems
The emergence of flexible manufacturing systems (FMS) capable of processing multiple
product types is a result of the growing demand for product customization and …
product types is a result of the growing demand for product customization and …
[HTML][HTML] “Game over” for autonomous shuttles in mixed traffic? Results from field surveys among pedestrians and cyclists on how they interact with autonomous …
Automated vehicles (AVs) are entering our roads, and autonomous shuttles (self-driving mini
buses), hereafter called AV shuttles, are under development and being tried and deployed …
buses), hereafter called AV shuttles, are under development and being tried and deployed …
Interactive Behavior Modeling for Vulnerable Road Users With Risk-Taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach
The deep understanding of the behaviors of traffic participants is essential to guarantee the
safety of automated vehicles (AV) in mixed traffic with vulnerable road users (VRUs). Precise …
safety of automated vehicles (AV) in mixed traffic with vulnerable road users (VRUs). Precise …