Automatic vehicle detection system in Day and Night Mode: challenges, applications and panoramic review

N Arora, Y Kumar - Evolutionary Intelligence, 2023 - Springer
Abstract Vehicle Detection and Recognition is a challenging move in the field of Traffic
Management as it requires special attention and technique for the efficient management of …

Towards AI‐based traffic counting system with edge computing

DL Dinh, HN Nguyen, HT Thai… - Journal of Advanced …, 2021 - Wiley Online Library
The recent years have witnessed a considerable rise in the number of vehicles, which has
placed transportation infrastructure and traffic control under tremendous pressure. Yielding …

Machine learning methods for forest image analysis and classification: A survey of the state of the art

C Kwenda, M Gwetu, JVF Dombeu - IEEE Access, 2022 - ieeexplore.ieee.org
The advent of modern remote sensors alongside the development of advanced parallel
computing has significantly transformed both the theoretical and real implementation …

[HTML][HTML] Enhanced Estimation of Traffic Noise Levels Using Minute-Level Traffic Flow Data through Convolutional Neural Network

W Yu, JC Jang, Y Zhu, J Peng, W Yang, K Li - Sustainability, 2024 - mdpi.com
The advent of high-resolution minute-level traffic flow data from video surveillance on roads
has opened up new opportunities for enhancing the estimation of traffic noise levels. In this …

An ontology-based method to identify triggering conditions for perception insufficiency of autonomous vehicles

X Xing, T Jia, J Chen, L Xiong, Z Yu - arXiv preprint arXiv:2210.08724, 2022 - arxiv.org
The autonomous vehicle (AV) is a safety-critical system relying on complex sensors and
algorithms. The AV may confront risk conditions if these sensors and algorithms …

Spatio-temporal synchronization of cross section based sensors for high precision microscopic traffic data reconstruction

A Fazekas, M Oeser - Sensors, 2019 - mdpi.com
The next generation of Intelligent Transportation Systems (ITS) will strongly rely on a high
level of detail and coverage in traffic data acquisition. Beyond aggregated traffic parameters …

[PDF][PDF] Development of vehicle speed estimation technique using image processing

NM Raikar, MP Arakeri - International Journal of …, 2020 - pdfs.semanticscholar.org
In India, the surveillance system and intelligent traffic management is the essential
requirement for smart city improvement. But nowadays, the number of accidents on the road …

[PDF][PDF] A framework for automated traffic safety analysis from video using modern computer vision

MB Jensen, M Ahrnbom, M Kruithof… - Transportation …, 2019 - portal.research.lu.se
ABSTRACT 1 Traffic surveillance and monitoring are gaining a lot of attention as a result of
an increase of 2 vehicles on the road and a desire to minimize accidents. In order to …

Kurtosis-based connected components method for detecting small and transparent foreign objects in semiopaque bottles

D Belhadj, D Nuzillard, V Vrabie… - Journal of Electronic …, 2020 - spiedigitallibrary.org
In recent years, driven by new standards and image brand, product quality has become
highly critical in the food industry. Particularly concerning the beverage industry, the …

Section oriented acquisition and application of microscopic traffic data using multi-sensor data fusion

A Fazekas, M Oeser, M Herty - 2020 - publications.rwth-aachen.de
Der Straßenverkehr und die individuelle Mobilität stehen vor einem grundlegenden
technologischen Wechsel, deren Fortschritte eng mit der Entwicklung der Sensortechnik und …