Exploration of issues, challenges and latest developments in autonomous cars

B Padmaja, CHV Moorthy, N Venkateswarulu… - Journal of Big Data, 2023 - Springer
Autonomous cars have achieved exceptional growth in the automotive industry in the last
century in terms of reliability, safety and affordability. Due to significant advancements in …

[HTML][HTML] Path planning algorithms in the autonomous driving system: A comprehensive review

M Reda, A Onsy, AY Haikal, A Ghanbari - Robotics and Autonomous …, 2024 - Elsevier
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

Human-machine shared driving: Challenges and future directions

S Ansari, F Naghdy, H Du - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

A security-by-design decision-making model for risk management in autonomous vehicles

M Abdel-Basset, A Gamal, N Moustafa… - IEEE …, 2021 - ieeexplore.ieee.org
Autonomous/self-driving vehicles have gained significant attention these days, as one of the
intelligent transportation systems. However, those vehicles have risks related to their …

State-of-the-art review on recent advancements on lateral control of autonomous vehicles

A Biswas, MAO Reon, P Das, Z Tasneem… - IEEE …, 2022 - ieeexplore.ieee.org
The most well-known research on driverless vehicles at the moment is connected
autonomous vehicles (CAVs), which reflects the future path for the self driving field. The …

Potential of connected fully autonomous vehicles in reducing congestion and associated carbon emissions

R Neufville, H Abdalla, A Abbas - Sustainability, 2022 - mdpi.com
Congestion is an ongoing problem for many urban centres worldwide (such as London),
leading to excessive delays, noise and air pollution, frustrated drivers, and high energy …

Interval-valued fermatean fuzzy based risk assessment for self-driving vehicles

M Kirişci - Applied Soft Computing, 2024 - Elsevier
The decision-making (DM) processes used by autonomous vehicle driving systems are
separate from those of the users, allowing them to oversee and regulate the operations of …

[PDF][PDF] 智能汽车人机共享控制研究综述

杨俊儒, 褚端峰, 陆丽萍, 王金湘, 吴超仲, 殷国栋 - 机械工程学报, 2022 - qikan.cmes.org
智能汽车人机共享控制由人类和机器共同完成驾驶任务, 通过人机智能混合增强, 保障行车安全,
提升驾驶性能. 对当前人机共享控制的研究现状及其概念进行梳理; 从客观风险评估指标和考虑 …

Research on Car‐Following Model considering Driving Style

K Wang, Y Yang, S Wang, Z Shi - Mathematical Problems in …, 2022 - Wiley Online Library
In this paper, a car‐following model considering various driving styles is constructed to fulfill
the personalized needs of different users of autonomous vehicles. First, according to a set of …

Personalized design strategy of vehicle steer-by-wire characteristics considering driving style

S Zou, Z Luan, W Zhao, C Wang - Proceedings of the …, 2023 - journals.sagepub.com
In order to meet the needs of drivers with different driving styles and improve driving comfort
and safety, a personalized design strategy of vehicle steer-by-wire (SBW) characteristics …