Human-like decision making for autonomous driving: A noncooperative game theoretic approach

P Hang, C Lv, Y Xing, C Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …

A literature review of performance metrics of automated driving systems for on-road vehicles

MN Sharath, B Mehran - Frontiers in Future Transportation, 2021 - frontiersin.org
The article presents a review of recent literature on the performance metrics of Automated
Driving Systems (ADS). More specifically, performance indicators of environment perception …

Adaptive decision-making for automated vehicles under roundabout scenarios using optimization embedded reinforcement learning

Y Zhang, B Gao, L Guo, H Guo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The roundabout is a typical changeable, interactive scenario in which automated vehicles
should make adaptive and safe decisions. In this article, an optimization embedded …

[HTML][HTML] What driving style makes pedestrians think a passing vehicle is driving automatically?

P Bazilinskyy, T Sakuma, J de Winter - Applied ergonomics, 2021 - Elsevier
An important question in the development of automated vehicles (AVs) is which driving style
AVs should adopt and how other road users perceive them. The current study aimed to …

Brain-inspired modeling and decision-making for human-like autonomous driving in mixed traffic environment

P Hang, Y Zhang, C Lv - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In this paper, a human-like driving system is designed for autonomous vehicles (AVs), which
aims to make AVs better integrate into the human transportation systems and mitigate …

Motion primitives representation, extraction and connection for automated vehicle motion planning applications

B Wang, J Gong, H Chen - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Developing an autonomous driving system which can generate human-like actions requires
the ability to utilize the basic driving skills learned from the driving data. The efficiency of the …

[HTML][HTML] What makes a good driver on public roads and race tracks? An interview study

F Doubek, F Salzmann, J de Winter - … research part F: traffic psychology and …, 2021 - Elsevier
Future vehicles may drive automatically in a human-like manner or contain systems that
monitor human driving ability. Algorithms of these systems must have knowledge of criteria …

Human-like decision-making system for overtaking stationary vehicles based on traffic scene interpretation

J Yang, S Lee, W Lim, M Sunwoo - Sensors, 2021 - mdpi.com
There are multifarious stationary vehicles in urban driving environments. Autonomous
vehicles need to make appropriate overtaking maneuver decisions to navigate through the …

Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling

Z Li, Q Jiang, Z Wu, A Liu, H Wu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Autonomous cars are indispensable when humans go further down the hands-free route.
Although existing literature highlights that the acceptance of the autonomous car will …

2‐dimensional human‐like driver model for autonomous vehicles in mixed traffic

MN Sharath, NR Velaga… - IET Intelligent Transport …, 2020 - Wiley Online Library
Classical artificial potential approach of motion planning is extended for emulating human
driving behaviour in two dimensions. Different stimulus parameters including type of ego …