Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead

V Kamath, A Renuka - Neurocomputing, 2023 - Elsevier
Deep learning models are widely being employed for object detection due to their high
performance. However, the majority of applications that require object detection are …

Pedestrian and vehicle detection in autonomous vehicle perception systems—A review

LG Galvao, M Abbod, T Kalganova, V Palade… - Sensors, 2021 - mdpi.com
Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …

HYDRO-3D: Hybrid object detection and tracking for cooperative perception using 3D LiDAR

Z Meng, X Xia, R Xu, W Liu, J Ma - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
3D-LiDAR-based cooperative perception has been generating significant interest for its
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …

Real-time object detection method based on improved YOLOv4-tiny

Z Jiang, L Zhao, S Li, Y Jia - arXiv preprint arXiv:2011.04244, 2020 - arxiv.org
The" You only look once v4"(YOLOv4) is one type of object detection methods in deep
learning. YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure and …

Mining 5.0: Concept and framework for intelligent mining systems in CPSS

L Chen, J Xie, X Zhang, J Deng, S Ge… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This letter is part of the Intelligent Mining Development Forum and aims to summarize the
discussions of Mining 5.0 from Intelligent Vehicle 5.0 project by IEEE TIV, which represents a …

Autonomous vehicles perception (avp) using deep learning: Modeling, assessment, and challenges

HH Jebamikyous, R Kashef - IEEE Access, 2022 - ieeexplore.ieee.org
Perception is the fundamental task of any autonomous driving system, which gathers all the
necessary information about the surrounding environment of the moving vehicle. The …

Smart mining with autonomous driving in industry 5.0: Architectures, platforms, operating systems, foundation models, and applications

L Chen, Y Li, W Silamu, Q Li, S Ge… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The increasing importance of mineral resources in contemporary society is becoming more
prominent, playing an indispensable and crucial role in the global economy. These …

[HTML][HTML] Pedestrian and vehicle behaviour prediction in autonomous vehicle system—A review

LG Galvão, MN Huda - Expert Systems with Applications, 2023 - Elsevier
Autonomous vehicles (AV) s have become a trending topic nowadays since they have the
potential to solve traffic problems, such as accidents and congestion. Although AV systems …

A surveillance video real-time analysis system based on edge-cloud and fl-yolo cooperation in coal mine

Z Xu, J Li, M Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
Video monitoring is an important means to ensure production safety in coal mine. However,
the currently intelligent video surveillance is difficult to respond in real-time due to the …

Multi-source aggregation transformer for concealed object detection in millimeter-wave images

P Sun, T Liu, X Chen, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The active millimeter wave scanner has been widely used for detecting objects concealed
underneath a person's clothing in the field of security inspection and anti-terrorism …