[HTML][HTML] Autonomous Vehicles: Evolution of Artificial Intelligence and the Current Industry Landscape

D Garikapati, SS Shetiya - Big Data and Cognitive Computing, 2024 - mdpi.com
The advent of autonomous vehicles has heralded a transformative era in transportation,
reshaping the landscape of mobility through cutting-edge technologies. Central to this …

Highway discretionary lane changing behavior recognition using continuous and discrete hidden markov model

O Sharma, NC Sahoo, NB Puhan - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Lane changing behavior is one of the most essential and complex driving attributes. The
lack of proper lane changing behavior can lead to collisions and traffic congestion. During …

[HTML][HTML] Computing safe stop trajectories for autonomous driving utilizing clustering and parametric optimization

J Langhorst, KW Chan, C Meerpohl, C Büskens - Vehicles, 2024 - mdpi.com
In the realm of autonomous driving, ensuring a secure halt is imperative across diverse
scenarios, ranging from routine stops at traffic lights to critical situations involving detected …

Data authorisation and validation in autonomous vehicles: A critical review

R Alhabib, P Yadav - arXiv preprint arXiv:2405.17435, 2024 - arxiv.org
Autonomous systems are becoming increasingly prevalent in new vehicles. Due to their
environmental friendliness and their remarkable capability to significantly enhance road …

[HTML][HTML] Driver assisted lane keeping with conflict management using robust sliding mode controller

G Perozzi, MR Oudainia, C Sentouh, JC Popieul… - Sensors, 2022 - mdpi.com
Lane-keeping assistance design for road vehicles is a multi-objective design problem that
needs to simultaneously maintain lane tracking, ensure driver comfort, provide vehicle …

Learning to drive in the NGSIM simulator using proximal policy optimization

Y Zhou, Y Chen - Journal of Advanced Transportation, 2023 - Wiley Online Library
As a popular research field, autonomous driving may offer great benefits for human society.
To achieve that, current studies often applied machine learning methods like reinforcement …

Review of Integrated Chassis Control Techniques for Automated Ground Vehicles

V Skrickij, P Kojis, E Šabanovič, B Shyrokau, V Ivanov - Sensors, 2024 - mdpi.com
Integrated chassis control systems represent a significant advancement in the dynamics of
ground vehicles, aimed at enhancing overall performance, comfort, handling, and stability …

[HTML][HTML] Moral judgment in realistic traffic scenarios: moving beyond the trolley paradigm for ethics of autonomous vehicles

D Cecchini, S Brantley, V Dubljević - AI & SOCIETY, 2023 - Springer
The imminent deployment of autonomous vehicles requires algorithms capable of making
moral decisions in relevant traffic situations. Some scholars in the ethics of autonomous …

Autonomous vehicle trajectory prediction on multi-lane highways using attention based model

O Sharma, NC Sahoo, NB Puhan - 2023 IEEE 3rd International …, 2023 - ieeexplore.ieee.org
The autonomous vehicle anticipates its own behaviour and future trajectory based on the
expected trajectories of surrounding vehicles to prevent a potential collision in order to …

[引用][C] 智能汽车的运动规划与控制研究综述

采国顺, 刘昊吉, 冯吉伟, 徐利伟, 殷国栋 - 汽车安全与节能学报, 2021