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An integrated system for vehicle tracking and classification
2015
Expert systems with applications
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We present a unified system for vehicle tracking and classification which has been developed with a data-driven approach on real-world data. ...
Both tracking and classification are performed online by a system made up of two components (tracker and classifier) plus a controller which automatically adapts the configuration of the system to the ...
Moreover we add a module for online vehicle classification and integrate the two components into a unified system for traffic monitoring purposes. ...
doi:10.1016/j.eswa.2015.05.055
fatcat:zy4rtxuahbbbjhxgcm2rph26ky
An Automatic Traffic Surveillance System for Vehicle Tracking and Classification
[chapter]
2003
Lecture Notes in Computer Science
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The designed classifier can collect different evidences from the database and the verified vehicle itself to make better decisions and thus much enhance the robustness and accuracy of classification. ...
This paper presents an automatic traffic surveillance system to estimate important traffic parameters from video sequences using only one camera. ...
Fig. 6 6 lists the same classification analysis but all the vehicles in the same trajectory are integrated for classification. The superiority Results of truck classification at different frames. ...
doi:10.1007/3-540-45103-x_52
fatcat:p6od7r3arjc3xhpv4vwbre5ezq
Show Me a Safer Way: Detecting Anomalous Driving Behavior Using Online Traffic Footage
2019
Infrastructures
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We present an integrated system that accurately detects, tracks, and classifies vehicles using online traffic-camera feed. ...
Real-time traffic monitoring is essential in many novel applications, from traffic management to smart navigation systems. ...
Integration and Visualization The main feature of the system is its ability to integrate online data collection, vehicle detection, vehicle tracking, and behavior classification so that users (urban authorities ...
doi:10.3390/infrastructures4020022
fatcat:gzafl67aofewhhp3uskriedvcy
Active Learning-based Classification in Automated Connected Vehicles
[article]
2020
arXiv
pre-print
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requirement for the data exchange between vehicles. ...
Indeed, the data generated by vehicles, or received from neighboring vehicles, may be affected by errors or have different levels of resolution and freshness. ...
SYSTEM MODEL Vehicles and topology. We denote as V the set of all vehicles, and as E(t) the set of edges, i.e., pairs of vehicles within radio range of each other. ...
arXiv:2002.07593v1
fatcat:ovvni6igjfdndgjjswbtwiop7e
System Interface for an Integrated Intelligent Safety System (ISS) for Vehicle Applications
2010
Sensors
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This paper deals with the interface-relevant activity of a vehicle integrated intelligent safety system (ISS) that includes an airbag deployment decision system (ADDS) and a tire pressure monitoring system ...
The integrated safety system also monitors tire pressure and temperature. ...
The safety components such as occupant detection, classification and location, vehicle crash detection and TPMS were integrated. ...
doi:10.3390/s100201141
pmid:22205861
pmcid:PMC3244007
fatcat:5ssacqa32fbljgde5avnmtjhrm
Low-Power Analog Processing for Sensing Applications: Low-Frequency Harmonic Signal Classification
2013
Sensors
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Estimated power dissipation is about three orders of magnitude less than similar vehicle classification systems that use commercially available FFT spectral extraction. ...
Results from the military vehicle classification and identification of machine-bearing fault applications shows that the front-end suits a wide range of harmonic signal sources. ...
Acknowledgments The authors would like to thank Jürgen Altmann at Experimentelle Physik III, Technische Universität Dortmund for providing the acoustic signatures of the military vehicles for peace-keeping ...
doi:10.3390/s130809604
pmid:23892765
pmcid:PMC3812570
fatcat:vfgfih63kfe43h4r5gsersvou4
Analog sensing front-end system for harmonic signal classification
2012
2012 IEEE International Symposium on Circuits and Systems
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Simulations of a prototype system in a mixed-signal 130 nm CMOS process show a feasible solution space given an on-line self-calibrating system. ...
The novel scheme extracts sufficient information to achieve good backend signal detection and classification performance while using less power than purely digital spectral techniques such as FFT. ...
VEHICLE CLASSIFICATION APPLICATION ...
doi:10.1109/iscas.2012.6271437
dblp:conf/iscas/WhiteWHBS12
fatcat:lzg5maju7jaj5pz2phc7stottm
An Adaptive and Integrated Multimodal Sensing And Processing Framework For Long-Range Moving Object Detection And Classification
2014
ELCVIA Electronic Letters on Computer Vision and Image Analysis
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Abstract In applications such as surveillance, inspection and traffic monitoring, long-range detection and classification of targets (vehicles, humans, etc) is a highly desired feature for a sensing system ...
and learning-based object detection and classification for achieving the goal of adaptive and integrated multimodal sensing and processing. ...
doi:10.5565/rev/elcvia.613
fatcat:t3jsryblbrexhobuaf7il4yzxe
Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey
[article]
2019
arXiv
pre-print
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A traffic monitoring system is an integral part of Intelligent Transportation Systems (ITS). ...
classification systems. ...
Hernandez et al. develop an in-road-based vehicle classification system that integrates a weigh in motion sensor with a loop detector [46] . ...
arXiv:1910.04656v1
fatcat:a4fquz53r5hjde5ypzpcmq727u
Decision Fusion via Integrated Sensing System for a Smart Airbag Deployment Scheme
2011
Sensors and materials
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In this paper, we address the development of an integrated sensing system for the airbag deployment decision in an intelligent vehicle with focus on passenger and driver airbags in vehicles. ...
The sensing systems are developed and integrated into a prototype platform. The performance of the prototype system is evaluated through several test runs. ...
The objective of this development is to integrate the sensing system to analyze the roles of occupant detection, classification and position, vehicle crash detection and crash severity analysis in airbag ...
doi:10.18494/sam.2011.694
fatcat:p7ztp7gayngjdkg2r5atzb2vjy
Design of Smart Environmental Protection Supervision System in the COVID-19 Post-epidemic Era
2021
Converter
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Results: Realizes unmanned supervision.Conclusions: Fills the gap in waste classification supervision in China. ...
Objectives: This research proposes a smart environmental protection monitoring system based on the Internet of Things technology, which is used to solve the monitoring data collection of the source of ...
events of garbage collection vehicles and personnel through the integrated real-time monitoring system. ...
doi:10.17762/converter.278
fatcat:5kxz4vc5rndprdhw5iwbnqv43q
2D laser based road obstacle classification for road safety improvement
2015
2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO)
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track class assignment by integrating consecutive classification decision values. ...
Finally, we tested our system on some laser sequences and showed that it can estimate the class of some road obstacles around the vehicle with an accuracy of 87.4%. ...
In this paper, a system classifying road obstacles for detected clusters and tracks in multiple classes is introduced. We believe that 2D laser scanner can be integrated in future vehicles. ...
doi:10.1109/arso.2015.7428199
dblp:conf/arso/MerdrignacPN15
fatcat:mns7fgkv6za6ffts2hlo5pxxxi
Intelligent Traffic Monitoring Systems for Vehicle Classification: A Survey
2020
IEEE Access
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INDEX TERMS Intelligent transportation systems, traffic monitoring systems, vehicle classification. ...
We organize various vehicle classification systems, examine research issues and technical challenges, and discuss hardware/software design, deployment experience, and system performance of vehicle classification ...
Hernandez et al. develop an in-road-based vehicle classification system that integrates a weigh-in-motion sensor with a loop detector [46] . ...
doi:10.1109/access.2020.2987634
fatcat:sywpexdiwnam7ewgykqa5cggqm
Review of integrated vehicle dynamics control architectures
2017
2017 European Conference on Mobile Robots (ECMR)
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Many coordination architectures have been proposed in the literature in order to integrate different chassis systems in a single vehicle. ...
The purpose of this classification is to help car manufacturers and suppliers standardize an Integrated Vehicle Dynamics Control architecture for faster and more flexible designs. ...
This would not be the first try, as in [4] a classification of integrated control methodologies for road vehicles has been made. ...
doi:10.1109/ecmr.2017.8098687
dblp:conf/ecmr/KissaiMT17
fatcat:o6zlnyr6vrgh7l3vpbg25mmv2e
Front Vehicle Recognition Based on Automotive Vision
2016
Revista Técnica de la Facultad de Ingeniería Universidad del Zulia
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We apply the method to a road vehicle recognition system based on automotive vision. ...
This paper proposes an algorithm based on Haar-like features and improved Adaboost classifier for vehicle recognition. ...
The driver assistance system could alert driver the driving environment information about the front or dangerous situation, reducing the probability of vehicle collision. ...
doi:10.21311/001.39.6.16
fatcat:a76z2mfsknfypnmdndlqlbws5a
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