[HTML][HTML] Review on vehicle detection technology for unmanned ground vehicles

Q Liu, Z Li, S Yuan, Y Zhu, X Li - Sensors, 2021 - mdpi.com
Unmanned ground vehicles (UGVs) have great potential in the application of both civilian
and military fields, and have become the focus of research in many countries. Environmental …

A review of vehicle detection techniques for intelligent vehicles

Z Wang, J Zhan, C Duan, X Guan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …

[HTML][HTML] Off-road detection analysis for autonomous ground vehicles: A review

F Islam, MM Nabi, JE Ball - Sensors, 2022 - mdpi.com
When it comes to some essential abilities of autonomous ground vehicles (AGV), detection
is one of them. In order to safely navigate through any known or unknown environment, AGV …

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 …

Vehicle detection for autonomous driving: A review of algorithms and datasets

J Karangwa, J Liu, Z Zeng - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Nowadays, vehicles with a high level of automation are being driven everywhere. With the
apparent success of autonomous driving technology, we keep working to achieve fully …

Novel on-road vehicle detection system using multi-stage convolutional neural network

J Kim, S Hong, E Kim - IEEE Access, 2021 - ieeexplore.ieee.org
General object-detection methods based on deep learning have received considerable
attention in the field of computer vision. However, when they are applied to vehicle detection …

Object detection of autonomous vehicles under adverse weather conditions

V Arthi, R Murugeswari… - … Conference on Data …, 2022 - ieeexplore.ieee.org
The computer vision systems that are responsible for driving Autonomous Vehicles (AV) are
evaluated based on their capacity to recognize obstacles and objects located close to the …

[HTML][HTML] Usability of perception sensors to determine the obstacles of unmanned ground vehicles operating in off-road environments

M Nowakowski, J Kurylo - Applied Sciences, 2023 - mdpi.com
This article presents the essential abilities and limitations of various sensors used for object
recognition in the operation environment of unmanned ground vehicles (UGVs). The use of …

[HTML][HTML] A hybrid vehicle detection method based on viola-jones and HOG+ SVM from UAV images

Y Xu, G Yu, Y Wang, X Wu, Y Ma - Sensors, 2016 - mdpi.com
A new hybrid vehicle detection scheme which integrates the Viola-Jones (VJ) and linear
SVM classifier with HOG feature (HOG+ SVM) methods is proposed for vehicle detection …

[HTML][HTML] A review on autonomous vehicles: Progress, methods and challenges

D Parekh, N Poddar, A Rajpurkar, M Chahal, N Kumar… - Electronics, 2022 - mdpi.com
Vehicular technology has recently gained increasing popularity, and autonomous driving is
a hot topic. To achieve safe and reliable intelligent transportation systems, accurate …