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A survey of advances in vision-based vehicle re-identification
Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …
its applications and research significance. In particular, the V-reID is an important problem …
Vehicle classification in intelligent transport systems: An overview, methods and software perspective
Vehicle Classification (VC) is a key element of Intelligent Transportation Systems (ITS).
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …
Traffic-informed multi-camera sensing (TIMS) system based on vehicle re-identification
Surveillance cameras are widely deployed traffic sensors, due to their affordable prices and
being able to capture rich information. However, current surveillance systems have not been …
being able to capture rich information. However, current surveillance systems have not been …
The channel as a traffic sensor: Vehicle detection and classification based on radio fingerprinting
Ubiquitously deployed Internet of Things (IoT)-based automatic vehicle classification
systems will catalyze data-driven traffic flow optimization in future smart cities and will …
systems will catalyze data-driven traffic flow optimization in future smart cities and will …
[HTML][HTML] Detecting emergency vehicles with 1D-CNN using fourier processed audio signals
Abstract Emergency Vehicle Detection (EVD) is a critical task in transportation management.
Vehicle audio analysis provides affordable and insightful data, compared to established yet …
Vehicle audio analysis provides affordable and insightful data, compared to established yet …
[HTML][HTML] Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers
Engine fault diagnosis is a critical task in automotive aftermarket management. Develo**
appropriate fault-labeled datasets can be challenging due to nonlinearity variations and …
appropriate fault-labeled datasets can be challenging due to nonlinearity variations and …
Robust group subspace recovery: A new approach for multi-modality data fusion
Robust Subspace Recovery (RoSuRe) algorithm was recently introduced as a principled
and numerically efficient algorithm that unfolds underlying Unions of Subspaces (UoS) …
and numerically efficient algorithm that unfolds underlying Unions of Subspaces (UoS) …
Contextually aware roadside radiation measurement testbed
N McFerran, E Albin, B Canion, S Czyz, J Dreyer… - Nuclear Instruments and …, 2023 - Elsevier
We demonstrate a contextually aware multimodal roadside radiation measurement detection
testbed for traffic monitoring applications in nuclear nonproliferation. Many variables in traffic …
testbed for traffic monitoring applications in nuclear nonproliferation. Many variables in traffic …
A radio-fingerprinting-based vehicle classification system for intelligent traffic control in smart cities
The measurement and provision of precise and up-to-date traffic-related key performance
indicators is a key element and crucial factor for intelligent traffic control systems in …
indicators is a key element and crucial factor for intelligent traffic control systems in …
Siamese networks for RF-based vehicle trajectory prediction
Traffic surveys monitor the traffic flow to generate data used in improving traffic
management. These surveys were traditionally carried out solely by manpower. With the …
management. These surveys were traditionally carried out solely by manpower. With the …