Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Feb 20, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K

Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination.

Yongliang Qiao1

  • 1Le2i FRE2005, CNRS, Arts et Métiers, UBFC, Université de technologie de Belfort-Montbéliard, Belfort 90000, France. yongliang.qiao@utbm.fr.

Sensors (Basel, Switzerland)
|October 26, 2017
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

281
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
281
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.9K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.9K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

505
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
505
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

417
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
417
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

465
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
465
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

436
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
436

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

CEHD: A Unified Framework for Detection and Height Estimation of Fresh Corn Ears in Field Conditions.

Plants (Basel, Switzerland)·2026
Same author

Interactive Dairy Goat Image Segmentation for Precision Livestock Farming.

Animals : an open access journal from MDPI·2023
Same author

A Method for Obtaining 3D Point Cloud Data by Combining 2D Image Segmentation and Depth Information of Pigs.

Animals : an open access journal from MDPI·2023
Same author

Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method.

Animals : an open access journal from MDPI·2023
Same author

The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming.

Sensors (Basel, Switzerland)·2022
Same author

One-Shot Learning with Pseudo-Labeling for Cattle Video Segmentation in Smart Livestock Farming.

Animals : an open access journal from MDPI·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

This study introduces a visual localization method using place recognition for autonomous navigation. It improves accuracy in changing seasons by combining global and local features for sequence matching, outperforming existing algorithms.

Area of Science:

  • Computer Vision
  • Robotics
  • Intelligent Transportation Systems

Background:

  • Visual localization is crucial for autonomous navigation and Advanced Driver Assistance Systems (ADAS).
  • Seasonal changes cause significant appearance variations, challenging visual localization accuracy.
  • Existing methods struggle with appearance changes due to weather and seasons.

Purpose of the Study:

  • To propose a robust visual localization method for autonomous systems operating in environments with seasonal variations.
  • To enhance place recognition accuracy by effectively representing image sequences.
  • To evaluate the performance of the proposed method against state-of-the-art algorithms.

Main Methods:

  • A place recognition-based visual localization approach using sequence matching.
Keywords:
binary featuresmulti-feature combinationplace recognitionsequence matchingvisual localization

More Related Videos

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

Related Experiment Videos

Last Updated: Feb 20, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K
Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K
  • Multi-feature representation combining global GIST and local Center-symmetric Local Binary Patterns (CSLBP) descriptors.
  • Similarity measurement using Chi-square distance for sequence matching.

    • Main Results:

    • The proposed method demonstrates improved precision-recall performance compared to SeqSLAM.
    • Evaluated effectiveness across four distinct outdoor seasons.
    • Investigated the impact of image sequence length on localization performance.

    Conclusions:

    • The developed visual localization method effectively addresses challenges posed by seasonal appearance changes.
    • Combining global and local features enhances sequence matching accuracy for robust localization.
    • The approach offers a promising solution for reliable navigation in dynamic environments.