Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

G Li, Y Yang, S Li, X Qu, N Lyu, SE Li - Transportation research part C …, 2022 - Elsevier
… In our future work, we will propose continuous motion space based DRL algorithms (eg,
DDPG (deep deterministic policy gradient)) to solve this problem for safe and smooth lane …

A survey on cyber-security of connected and autonomous vehicles (CAVs)

X Sun, FR Yu, P Zhang - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
… Because the research of cyber-risk is helpful for ranking potential risks and forecasting
future vulnerabilities, we regard cyber-risk as another type of attacks in the environment …

A survey on security attacks and defense techniques for connected and autonomous vehicles

M Pham, K Xiong - Computers & Security, 2021 - Elsevier
Autonomous Vehicle has been transforming intelligent transportation systems. As
telecommunication technology improves, autonomous vehicles are … for CAV’s future improvement. …

A survey of deep learning applications to autonomous vehicle control

S Kuutti, R Bowden, Y Jin, P Barber… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… in autonomous vehicles would be out of the scope of this manuscript, we refer the interested
… Therefore future research is required to further improve the control performance of neural …

Shared autonomous vehicle services: A comprehensive review

S Narayanan, E Chaniotakis, C Antoniou - Transportation Research Part C …, 2020 - Elsevier
… of autonomous vehicles as shared autonomous mobility … are lately being published regarding
Shared Autonomous Vehiclewill support future research related to autonomous vehicle

Comparing offline and online testing of deep neural networks: An autonomous car case study

FU Haq, D Shin, S Nejati… - 2020 IEEE 13th …, 2020 - ieeexplore.ieee.org
… , we expect offline testing to be faster and less expensive than online testing, we do not know
how they compare with respect to their ability … As part of future work, we plan to develop an

Centralized cooperation for connected and automated vehicles at intersections by proximal policy optimization

Y Guan, Y Ren, SE Li, Q Sun, L Luo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… This article has been accepted for publication in a future issue of this journal, but has not
been fully edited. Content may change prior to final publication. Citation information: DOI …

[HTML][HTML] What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective

I Nastjuk, B Herrenkind, M Marrone, AB Brendel… - … Forecasting and Social …, 2020 - Elsevier
… , fully automated vehicles have the potential to enhance vehicle … several studies have been
carried out to forecast its future. In … on the acceptance of autonomous driving, we conducted a …

Defining interactions: A conceptual framework for understanding interactive behaviour in human and automated road traffic

G Markkula, R Madigan, D Nathanael… - Theoretical Issues in …, 2020 - Taylor & Francis
… for highly automated vehicles (HAVs) have raised concerns about … Before concluding, we
discuss how the proposed conceptual … perspectives, and how it can be applied in future work. …

Efficient sampling-based maximum entropy inverse reinforcement learning with application to autonomous driving

Z Wu, L Sun, W Zhan, C Yang… - … and Automation Letters, 2020 - ieeexplore.ieee.org
we can extract what human drivers try to optimize from real traffic data and assign that to
autonomous vehicles … In the future, we would like to extend to online experimental verifications …