[HTML][HTML] Autonomous vehicles enabled by the integration of IoT, edge intelligence, 5G, and blockchain

A Biswas, HC Wang - Sensors, 2023 - mdpi.com
The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

Detecting human driver inattentive and aggressive driving behavior using deep learning: Recent advances, requirements and open challenges

MH Alkinani, WZ Khan, Q Arshad - Ieee Access, 2020 - ieeexplore.ieee.org
Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …

Drivevlm: The convergence of autonomous driving and large vision-language models

X Tian, J Gu, B Li, Y Liu, C Hu, Y Wang, K Zhan… - arXiv preprint arXiv …, 2024 - arxiv.org
A primary hurdle of autonomous driving in urban environments is understanding complex
and long-tail scenarios, such as challenging road conditions and delicate human behaviors …

A multi-vehicle game-theoretic framework for decision making and planning of autonomous vehicles in mixed traffic

Y Yan, L Peng, T Shen, J Wang, D Pi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

Indy autonomous challenge-autonomous race cars at the handling limits

A Wischnewski, M Geisslinger, J Betz, T Betz… - … 2021: chassis. tech plus, 2022 - Springer
Motorsport has always been an enabler for technological advancement, and the same
applies to the autonomous driving industry. The team TUM Autonomous Motorsports will …

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 …

A comprehensive review on 3D object detection and 6D pose estimation with deep learning

S Hoque, MY Arafat, S Xu, A Maiti, Y Wei - IEEE Access, 2021 - ieeexplore.ieee.org
Nowadays, computer vision with 3D (dimension) object detection and 6D (degree of
freedom) pose assumptions are widely discussed and studied in the field. In the 3D object …

A comprehensive review on limitations of autonomous driving and its impact on accidents and collisions

A Chougule, V Chamola, A Sam… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
The emergence of autonomous driving represents a pivotal milestone in the evolution of the
transportation system, integrating seamlessly into the daily lives of individuals due to its …

Modeling mixed traffic flows of human-driving vehicles and connected and autonomous vehicles considering human drivers' cognitive characteristics and driving …

X Li, Y Xiao, X Zhao, X Ma, X Wang - Physica A: Statistical Mechanics and …, 2023 - Elsevier
Connected and autonomous vehicles (CAVs) are developing rapidly nowadays. In the near
future, we may see human-driving vehicles (HVs) and CAVs running on the same road. The …

Vulnerable objects detection for autonomous driving: A review

E Khatab, A Onsy, M Varley, A Abouelfarag - Integration, 2021 - Elsevier
Object detection performed by Autonomous Vehicles (AV) s is a crucial operation that comes
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …