Articles with "vehicle detection" as a keyword



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Smoky vehicle detection based on multi-feature fusion and ensemble neural networks

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Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6248-2

Abstract: Existing methods of smoky vehicle detection from the traffic flow are inefficiency and need a large number of workers. To solve this issue, we propose an automatic smoky vehicle detection method based on multi-feature fusion… read more here.

Keywords: detection; smoky vehicle; vehicle detection; vehicle ... See more keywords
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Pre-processing framework with virtual mono-layer sequence of boxes for video based vehicle detection applications

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Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-09587-x

Abstract: The increase in day to day vehicular traffic demands an efficient, automated and innovative approach for its management and regulation. One of the most practical and commonly used Intelligent Transportation Systems (ITS) based solution in… read more here.

Keywords: traffic; video; detection; framework ... See more keywords
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Inception-SSD: An improved single shot detector for vehicle detection

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Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-020-02085-w

Abstract: Vehicle detection plays an effective and important role in traffic safety, which has attracted extensive attention from both academic and industry. Deep learning has made significant breakthroughs in vehicle detection application. The Single Shot Detector… read more here.

Keywords: detection; ssd; shot detector; single shot ... See more keywords
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Two-Wheeled Vehicle Detection Using Two-Step and Single-Step Deep Learning Models

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Published in 2020 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-020-04837-4

Abstract: Road accidents are major cause of death which has been increased by 46% since 1990. In recent years, significant efforts have been invested in four-wheeled vehicle detection that improved intelligent transportation systems and decreased the… read more here.

Keywords: methodology; detection; two wheeled; wheeled vehicle ... See more keywords
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Image guidance based 3D vehicle detection in traffic scene

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.11.060

Abstract: Abstract 3D vehicle detection is a significant step for traffic scene understanding. Several recent works have achieved state-of-the-art performance with only LiDAR point clouds. However, there are still existing challenges due to the intrinsic limitations… read more here.

Keywords: vehicle detection; detection; traffic scene;
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Evaluating the effect of MIPM on vehicle detection performance

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Published in 2019 at "Transportation Letters"

DOI: 10.1080/19427867.2019.1585682

Abstract: ABSTRACT The introduction of new techniques to improve the robustness and accuracy of vehicle detection is always important for the intelligent transportation system as it may face different problems and challenges. Conventional image-based vehicle detection… read more here.

Keywords: weather conditions; vehicle; effect; performance ... See more keywords
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Vehicle detection from airborne LiDAR point clouds based on a decision tree algorithm with horizontal and vertical features

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Published in 2017 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2016.1278310

Abstract: ABSTRACT The object-based point cloud analysis (OBPCA) method has been used for vehicle detection from airborne light detection and ranging (LiDAR) point clouds with a relatively simple process and exhibits a degree of accuracy as… read more here.

Keywords: detection; vertical features; point clouds; point ... See more keywords
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Vehicle Detection and Counting in High-Resolution Aerial Images Using Convolutional Regression Neural Network

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2017.2782260

Abstract: Vehicle detection and counting in aerial images have become an interesting research focus since the last decade. It is important for a wide range of applications, such as urban planning and traffic management. However, this… read more here.

Keywords: neural network; vehicle; detection counting; aerial images ... See more keywords
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Smoky Vehicle Detection Based on Range Filtering on Three Orthogonal Planes and Motion Orientation Histogram

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2873757

Abstract: Smoky vehicle detection is an important task in reducing motor vehicle pollution. This paper presents a method to automatically detect smoky vehicles from the traffic surveillance videos. More specifically, the visual background extractor background subtraction… read more here.

Keywords: motion; histogram; smoky vehicle; smoky ... See more keywords
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A Novel Feature Selection in Vehicle Detection Through the Selection of Dominant Patterns of Histograms of Oriented Gradients (DPHOG)

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2893320

Abstract: This paper proposes a novel method that addresses the selection of the dominant patterns of the histograms of oriented gradients (DPHOGs) in vehicle detection. HOG features lead to an expensive classification with high misclassification rates… read more here.

Keywords: histograms oriented; feature; dominant patterns; vehicle ... See more keywords
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Road Vehicle Detection and Classification Using Magnetic Field Measurement

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2908006

Abstract: This paper presents a road vehicle recognition and classification approach for intelligent transportation systems. This approach uses a roadside installed low-cost magnetometer and associated data collection system. The system measures the magnetic field changing, detects… read more here.

Keywords: vehicle; road vehicle; detection classification; vehicle detection ... See more keywords