Research advances and challenges of autonomous and connected ground vehicles

A Eskandarian, C Wu, C Sun - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Vehicle detection in intelligent transportation systems and its applications under varying environments: A review

Z Yang, LSC Pun-Cheng - Image and Vision Computing, 2018 - Elsevier
Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

Multi-sensor fusion in automated driving: A survey

Z Wang, Y Wu, Q Niu - Ieee Access, 2019 - ieeexplore.ieee.org
With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

An empirical evaluation of deep learning on highway driving

B Huval, T Wang, S Tandon, J Kiske, W Song… - arXiv preprint arXiv …, 2015 - arxiv.org
Numerous groups have applied a variety of deep learning techniques to computer vision
problems in highway perception scenarios. In this paper, we presented a number of …

Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis

S Sivaraman, MM Trivedi - IEEE transactions on intelligent …, 2013 - ieeexplore.ieee.org
This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …

State estimation and motion prediction of vehicles and vulnerable road users for cooperative autonomous driving: A survey

P Ghorai, A Eskandarian, YK Kim… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
The recent progress in autonomous vehicle research and development has led to
increasingly widespread testing of fully autonomous vehicles on public roads, where …

Deep learning algorithm for autonomous driving using googlenet

M Al-Qizwini, I Barjasteh, H Al-Qassab… - 2017 IEEE intelligent …, 2017 - ieeexplore.ieee.org
In this paper, we consider the Direct Perception approach for autonomous driving. Previous
efforts in this field focused more on feature extraction of the road markings and other …

A survey of vision-based traffic monitoring of road intersections

SRE Datondji, Y Dupuis, P Subirats… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Visual surveillance of dynamic objects, particularly vehicles on the road, has been, over the
past decade, an active research topic in computer vision and intelligent transportation …

A real-time video surveillance system for traffic pre-events detection

A Pramanik, S Sarkar, J Maiti - Accident Analysis & Prevention, 2021 - Elsevier
In this study, a conceptual framework is proposed for the development of a video
surveillance-based system for improving road safety. Based on the framework, a set of …

Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data

J Qu, RW Liu, Y Guo, Y Lu, J Su, P Li - Ocean Engineering, 2023 - Elsevier
To guarantee vessel traffic safety in inland waterways, the automatic identification system
(AIS) and shore-based cameras have been widely adopted to monitor moving vessels. The …