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 …
A survey of methods and technologies for congestion estimation based on multisource data fusion
Traffic congestion occurs when traffic demand is greater than the available network capacity.
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …
Trends in vehicle re-identification past, present, and future: A comprehensive review
Vehicle Re-identification (re-id) over surveillance camera network with non-overlapping field
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …
Intelligent cognition of traffic loads on road bridges: From measurement to simulation–A review
J Zheng, J Tang, Z Zhou, J Heng, X Chu, T Wu - Measurement, 2022 - Elsevier
Traffic load is a crucial but complicated factor in determining the in-service performance and
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …
deterioration behavior of bridges. A better understanding of traffic loads in different traffic …
Spatially-regularized features for vehicle re-identification: An explanation of where deep models should focus
Vehicle re-identification aims to identify vehicles from different cameras and has drawn
much attention in the multimedia community. In recent years, significant achievements in …
much attention in the multimedia community. In recent years, significant achievements in …
Video analytics in smart transportation for the AIC'18 challenge
With the fast advancements of AICity and omnipresent street cameras, smart transportation
can benefit greatly from actionable insights derived from video analytics. We participate the …
can benefit greatly from actionable insights derived from video analytics. We participate the …
Vehicle classification using the discrete fourier transform with traffic inductive sensors
Inductive Loop Detectors (ILDs) are the most commonly used sensors in traffic management
systems. This paper shows that some spectral features extracted from the Fourier Transform …
systems. This paper shows that some spectral features extracted from the Fourier Transform …
Text-to-Image Vehicle Re-Identification: Multi-Scale Multi-View Cross-Modal Alignment Network and a Unified Benchmark
Vehicle Re-IDentification (Re-ID) aims to retrieve the most similar images with a given query
vehicle image from a set of images captured by non-overlapping cameras, and plays a …
vehicle image from a set of images captured by non-overlapping cameras, and plays a …
A high-definition traffic performance monitoring system with the inductive loop detector signature technology
With continuing emphasis on transportation sustainability and fiscal stewardship, utilizing
existing loop detector infrastructure to obtain more accurate, reliable, and comprehensive …
existing loop detector infrastructure to obtain more accurate, reliable, and comprehensive …