A comprehensive survey of driving monitoring and assistance systems
MQ Khan, S Lee - Sensors, 2019 - mdpi.com
Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …
road accidents. In recent decades, engineers and researchers have proposed several …
Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness
Driving safety is the most important element that needs to be considered for autonomous
vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …
vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …
Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios
In this paper, we proposed a new risk assessment based decision-making algorithm to
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …
guarantee collision avoidance in multi-scenarios for autonomous vehicles. A probabilistic …
Lane change strategies for autonomous vehicles: A deep reinforcement learning approach based on transformer
End-to-end approaches are one of the most promising solutions for autonomous vehicles
(AVs) decision-making. However, the deployment of these technologies is usually …
(AVs) decision-making. However, the deployment of these technologies is usually …
Risk assessment methodologies for autonomous driving: A survey
Autonomous driving systems (ADS) in recent years have been the subject of focus, evolving
as one of the major mobility disruptors and being a potential candidate for deployment in …
as one of the major mobility disruptors and being a potential candidate for deployment in …
A Survey of Decision-Making Safety Assessment Methods for Autonomous Vehicles
Z Pang, Z Chen, J Lu, M Zhang, X Feng… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
How to drive safely in complex real-world traffic settings has long been a question and
challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of …
challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of …
A trustworthiness-based vehicular recruitment scheme for information collections in distributed networked systems
Because of high mobility, large number of vehicles are utilized to achieve timely and quality-
based information in the smart Internet of Things, which has formulated into a dynamic …
based information in the smart Internet of Things, which has formulated into a dynamic …
An integrated threat assessment algorithm for decision-making of autonomous driving vehicles
C Xu, W Zhao, C Wang - IEEE transactions on intelligent …, 2019 - ieeexplore.ieee.org
In order to decide a safe and reliable trajectory for autonomous driving vehicles, the threat of
surrounding vehicles need to be assessed quantitatively and consider the potential risk. This …
surrounding vehicles need to be assessed quantitatively and consider the potential risk. This …
Enhancing intersection safety in autonomous traffic: a grid-based approach with risk quantification
W Wu, S Chen, M Xiong, L Xing - Accident Analysis & Prevention, 2024 - Elsevier
Existing studies on autonomous intersection management (AIM) primarily focus on traffic
efficiency, often overlooking the overall intersection safety, where conflict separation is …
efficiency, often overlooking the overall intersection safety, where conflict separation is …
Human-like motion planning of autonomous vehicle based on probabilistic trajectory prediction
P Li, X Pei, Z Chen, X Zhou, J Xu - Applied Soft Computing, 2022 - Elsevier
Motion planning for autonomous vehicles becomes more challenging when both driver
comfort and collision risk are considered. To overcome this challenge, a human-like motion …
comfort and collision risk are considered. To overcome this challenge, a human-like motion …