Smart transportation: an overview of technologies and applications

D Oladimeji, K Gupta, NA Kose, K Gundogan, L Ge… - Sensors, 2023 - mdpi.com
As technology continues to evolve, our society is becoming enriched with more intelligent
devices that help us perform our daily activities more efficiently and effectively. One of the …

Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities

G Bathla, K Bhadane, RK Singh… - Mobile Information …, 2022 - Wiley Online Library
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

A survey on 3d object detection methods for autonomous driving applications

E Arnold, OY Al-Jarrah, M Dianati… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
An autonomous vehicle (AV) requires an accurate perception of its surrounding environment
to operate reliably. The perception system of an AV, which normally employs machine …

Performance and challenges of 3D object detection methods in complex scenes for autonomous driving

K Wang, T Zhou, X Li, F Ren - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

A review of sensor technologies for perception in automated driving

E Marti, MA De Miguel, F Garcia… - IEEE intelligent …, 2019 - ieeexplore.ieee.org
After more than 20 years of research, ADAS are common in modern vehicles available in the
market. Automated Driving systems, still in research phase and limited in their capabilities …

Internet of vehicles in big data era

W Xu, H Zhou, N Cheng, F Lyu, W Shi… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …

[HTML][HTML] A review of artificial intelligence and machine learning for incident detectors in road transport systems

S Olugbade, S Ojo, AL Imoize, J Isabona… - Mathematical and …, 2022 - mdpi.com
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …

[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles

SD Pendleton, H Andersen, X Du, X Shen, M Meghjani… - Machines, 2017 - mdpi.com
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

J Zhao, H Xu, H Liu, J Wu, Y Zheng, D Wu - Transportation research part C …, 2019 - Elsevier
Abstract Light Detection and Ranging (LiDAR) is a remote sensing technology widely used
in many areas ranging from making precise medical equipment to creating accurate …

A review on VANET research: Perspective of recent emerging technologies

MJN Mahi, S Chaki, S Ahmed, M Biswas… - IEEE …, 2022 - ieeexplore.ieee.org
Recent technology has modeled VANET (vehicular adhoc network) communication well in
terms of privileges to derive vehicular communication technologically to save time, energy …