[HTML][HTML] Analyzing scenario criticality and rider's intervention behavior during high-level autonomous driving: A VR-enabled approach and empirical insights

Z Xu, N Zheng, Y Lv, Y Fang, HL Vu - Transportation research part C …, 2024 - Elsevier
The safety of autonomous driving systems (ADS) has been attracting extensive attentions of
research and practice worldwide. One major concern on the existing ADS is the failure to …

A review of research on traffic conflicts based on intelligent vehicles

L Hu, J Ou, J Huang, Y Chen, D Cao - Ieee Access, 2020 - ieeexplore.ieee.org
The traffic situation at an urban intersection is complicated, due to the numerous internal
conflicts and all kinds of traffic accidents. With the objective of improving road safety, the …

Developments in modern GNSS and its impact on autonomous vehicle architectures

N Joubert, TGR Reid, F Noble - 2020 IEEE Intelligent Vehicles …, 2020 - ieeexplore.ieee.org
This paper surveys a number of recent developments in modern Global Navigation Satellite
Systems (GNSS) and investigates the possible impact on autonomous driving architectures …

A systematic literature review of the factors influencing the adoption of autonomous driving

M Alawadhi, J Almazrouie, M Kamil… - International Journal of …, 2020 - Springer
Autonomous vehicles (AVs) are the latest trend in the automobile industry. Although the
concept has existed since the beginning of the last century, recent technological …

Pointillism: Accurate 3d bounding box estimation with multi-radars

K Bansal, K Rungta, S Zhu, D Bharadia - Proceedings of the 18th …, 2020 - dl.acm.org
Autonomous perception requires high-quality environment sensing in the form of 3D
bounding boxes of dynamic objects. The primary sensors used in automotive systems are …

Vision-based autonomous vehicle systems based on deep learning: A systematic literature review

MI Pavel, SY Tan, A Abdullah - Applied Sciences, 2022 - mdpi.com
In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …

This is not me! Technology-identity concerns in consumers' acceptance of autonomous vehicle technology

X Wang, YD Wong, KX Li, KF Yuen - … research part F: traffic psychology and …, 2020 - Elsevier
The relationship between drivers and their cars is increasingly personal, where the cars
become an extension of the drivers' self-identity. However, the penetration of autonomous …

When intelligent transportation systems sensing meets edge computing: Vision and challenges

X Zhou, R Ke, H Yang, C Liu - Applied Sciences, 2021 - mdpi.com
The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

Assess the impacts of different autonomous trucks' lateral control modes on asphalt pavement performance

F Chen, M Song, X Ma, X Zhu - Transportation Research Part C: Emerging …, 2019 - Elsevier
With ongoing massive investment in the field of autonomous vehicles, fully autonomous self-
driving vehicles are set to become a reality soon. Despite the benefits in traffic safety and …

Field experiments on longitudinal characteristics of human driver behavior following an autonomous vehicle

X Zhao, Z Wang, Z Xu, Y Wang, X Li, X Qu - Transportation research part C …, 2020 - Elsevier
Although mixed traffic, including both autonomous vehicles (AV) and human-driven vehicles
(HV), is expected to prevail in the foreseeable future, our current understanding of the …