Intelligent and connected vehicles: Current status and future perspectives
Intelligent connected vehicles (ICVs) are believed to change people's life in the near future
by making the transportation safer, cleaner and more comfortable. Although many …
by making the transportation safer, cleaner and more comfortable. Although many …
Visual human–computer interactions for intelligent vehicles and intelligent transportation systems: The state of the art and future directions
Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …
between automatic approaches and man-machine control systems, it is indispensable to …
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 …
Uncertainties in onboard algorithms for autonomous vehicles: Challenges, mitigation, and perspectives
K Yang, X Tang, J Li, H Wang, G Zhong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Autonomous driving is considered one of the revolutionary technologies shaping humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …
future mobility and quality of life. However, safety remains a critical hurdle in the way of …
Probabilistic lane-change decision-making and planning for autonomous heavy vehicles
To improve the safety and driving stability of the autonomous heavy truck, it is necessary to
consider the differences of driving behavior and drivable trajectories between the heavy …
consider the differences of driving behavior and drivable trajectories between the heavy …
Trustworthy safety improvement for autonomous driving using reinforcement learning
Reinforcement learning (RL) can learn from past failures and has the potential to provide
self-improvement ability and higher-level intelligence. However, the current RL algorithms …
self-improvement ability and higher-level intelligence. However, the current RL algorithms …
Decision-making framework for autonomous driving at road intersections: Safeguarding against collision, overly conservative behavior, and violation vehicles
S Noh - IEEE Transactions on Industrial Electronics, 2018 - ieeexplore.ieee.org
In this paper, we propose a decision-making framework for autonomous driving at road
intersections that determines appropriate maneuvers for an autonomous vehicle to navigate …
intersections that determines appropriate maneuvers for an autonomous vehicle to navigate …
Collision risk assessment algorithm via lane-based probabilistic motion prediction of surrounding vehicles
J Kim, D Kum - IEEE Transactions on Intelligent Transportation …, 2017 - ieeexplore.ieee.org
In order to ensure reliable autonomous driving, the system must be able to detect future
dangers in sufficient time to avoid or mitigate collisions. In this paper, we propose a collision …
dangers in sufficient time to avoid or mitigate collisions. In this paper, we propose a collision …