A Review of Decision-Making and Planning for Autonomous Vehicles in Intersection Environments
S Chen, X Hu, J Zhao, R Wang, M Qiao - World Electric Vehicle Journal, 2024 - mdpi.com
Decision-making and planning are the core aspects of autonomous driving systems. These
factors are crucial for improving the safety, driving experience, and travel efficiency of …
factors are crucial for improving the safety, driving experience, and travel efficiency of …
Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …
vehicles plan future trajectories. We develop a partially observable Markov decision process …
An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors
This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …
Planning and decision-making for connected autonomous vehicles at road intersections: A review
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
Risk-aware decision-making and planning using prediction-guided strategy tree for the uncontrolled intersections
T Zhang, M Fu, W Song - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Uncontrolled intersections with interaction and uncertainties are challenging for autonomous
vehicles (AV) to manage. In this work, we propose a decision-making model specific to …
vehicles (AV) to manage. In this work, we propose a decision-making model specific to …
Learning from naturalistic driving data for human-like autonomous highway driving
Driving in a human-like manner is important for an autonomous vehicle to be a smart and
predictable traffic participant. To achieve this goal, parameters of the motion planning …
predictable traffic participant. To achieve this goal, parameters of the motion planning …
Context‐aware trajectory prediction for autonomous driving in heterogeneous environments
The prediction of surrounding agent trajectories in heterogeneous traffic environments
remains a challenging task for autonomous driving due to several critical issues, such as …
remains a challenging task for autonomous driving due to several critical issues, such as …
Use of social interaction and intention to improve motion prediction within automated vehicle framework: A review
DE Benrachou, S Glaser, M Elhenawy… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Human errors contribute to 94%(±2.2%) of road crashes resulting in fatal/non-fatal
causalities, vehicle damages and a predicament in the pathway to safer road systems …
causalities, vehicle damages and a predicament in the pathway to safer road systems …
[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …
systems, as they offer potential for additional safety, increased productivity, greater …
Interactive planning for autonomous driving in intersection scenarios without traffic signs
Efficient intersection planning is one of the most challenging tasks for an autonomous
vehicle at present. Politeness to other traffic participants and reaction to surrounding …
vehicle at present. Politeness to other traffic participants and reaction to surrounding …