Autonomous driving under V2X environment: state-of-the-art survey and challenges

X Yang, Y Shi, J Xing, Z Liu - Intelligent Transportation …, 2022 - academic.oup.com
Abstract As Vehicle-to-Anything (V2X) is viewed as emerging technology, which could
improve the mobility and efficiency of urban traffic operations, and enhance the safety of …

Will automated vehicles solve the truck driver shortages? Perspectives from the trucking industry

AM Schuster, S Agrawal, N Britt, D Sperry… - Technology in …, 2023 - Elsevier
Abstract The United States (US) has experienced persistent truck driver shortages for the
past several decades, as demand for truckers has increased while individuals willing to fill …

It takes two to Tango: Automated vehicles and human beings do the dance of driving–Four social considerations for policy

ER Straub, KE Schaefer - Transportation research part A: policy and …, 2019 - Elsevier
Automated vehicle (AV) policy development and assessment is a difficult and complicated
process. Today's road and vehicle policies are the product of a hundred years of lessons …

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences

M Chu, K Zong, X Shu, J Gong, Z Lu, K Guo… - Proceedings of the …, 2023 - dl.acm.org
The development of Autonomous Vehicle (AV) has created a novel job, the safety driver,
recruited from experienced drivers to supervise and operate AV in numerous driving …

Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

M Mersha, K Lam, J Wood, A AlShami, J Kalita - Neurocomputing, 2024 - Elsevier
Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …

An inverse reinforcement learning approach for customizing automated lane change systems

J Liu, LN Boyle, AG Banerjee - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Vehicle automation seeks to enhance road safety and improve the driving experience.
However, a standard system does not account for variations in users and driving conditions …

When and why do people choose automated buses over conventional buses? Results of a context-dependent stated choice experiment

J Guo, Y Susilo, C Antoniou, A Pernestål - Sustainable Cities and Society, 2021 - Elsevier
The sustainable and continuous development of public transport systems is crucial to
ensuring robust and resilient transport and economic activity whilst improving the urban …

Recent development of automotive LiDAR technology, industry and trends

F Zhao, H Jiang, Z Liu - Eleventh International Conference on …, 2019 - spiedigitallibrary.org
Autonomous driving technology is one of the core technologies for intelligent connected
vehicles. For autonomous vehicles with L3 and higher-level capabilities, LiDAR is …

Autonomous vehicles safe-optimal trajectory selection based on big data analysis and predefined user preferences

H Al Najada, I Mahgoub - 2016 IEEE 7th Annual Ubiquitous …, 2016 - ieeexplore.ieee.org
Autonomous Vehicle (AV) or self-driving vehicle technology promises to provide many
economical and societal benefits and impacts. Safety is on the top of these benefits …

Clustering human trust dynamics for customized real-time prediction

J Liu, K Akash, T Misu, X Wu - 2021 ieee international …, 2021 - ieeexplore.ieee.org
Trust calibration is necessary to ensure appropriate user acceptance in advanced
automation technologies. A significant challenge to achieve trust calibration is to …