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 Concept Videos

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

13.9K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
13.9K
Light Acquisition02:16

Light Acquisition

8.6K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.6K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.4K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.4K

You might also read

Related Articles

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

Sort by
Same author

Feasibility of a live-stream group dance intervention with inpatients in subacute post-stroke rehabilitation: A pilot study.

Digital health·2026
Same author

OSCAR: A Modular Open-Source Robotic Platform for Biological Laboratories.

ACS synthetic biology·2026
Same author

Scoping review of socially interactive agents fostering older adults' social participation.

Assistive technology : the official journal of RESNA·2026
Same author

Toward full automation in synthetic biology: A progressive conceptual framework integrating robotics and intelligent agents.

SLAS technology·2025
Same author

Assist-as-Needed Impedance and Admittance Switching Control for an Upper-Limb Compliant Rehabilitation Orthosis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Design of a Telerehabilitation Software Platform for a Compliant Upper-Limb Rehabilitation Orthosis.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Related Experiment Video

Updated: Sep 6, 2025

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
11:57

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

Published on: December 1, 2016

10.8K

Multi-Session Visual SLAM for Illumination-Invariant Re-Localization in Indoor Environments.

Mathieu Labbé1, François Michaud1

  • 1Department of Electrical Engineering and Computer Engineering, Interdisciplinary Institute of Technological Innovation (3IT), Université de Sherbrooke, Sherbrooke, QC, Canada.

Frontiers in Robotics and AI
|July 5, 2022
PubMed
Summary

Robots using cameras for navigation can fail when lighting changes. This study introduces a multi-session visual SLAM method to build maps under varied lighting, improving robot re-localization accuracy.

Keywords:
feature matchinglocalizationmobile roboticsrobot visionvisual SLAM (simultaneous localization and mapping)

More Related Videos

Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States
06:25

Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States

Published on: January 19, 2024

1.1K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

787

Related Experiment Videos

Last Updated: Sep 6, 2025

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM
11:57

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy iPALM

Published on: December 1, 2016

10.8K
Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States
06:25

Author Spotlight: Comparative Imaging of Neural Activity in Awake and Freely Moving States

Published on: January 19, 2024

1.1K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

787

Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Illumination variations in indoor environments pose significant challenges for camera-based robot navigation and re-localization.
  • Failures in re-localization can disrupt autonomous navigation systems, impacting robot performance and reliability.

Purpose of the Study:

  • To develop and evaluate a multi-session visual Simultaneous Localization and Mapping (SLAM) approach to address illumination changes.
  • To enhance the re-localization capability of robots operating in dynamic indoor environments.

Main Methods:

  • A multi-session visual SLAM approach was implemented to construct a unified map from data captured under diverse lighting conditions.
  • The method's independence from specific visual features was validated by comparing performance using SURF, SIFT, BRIEF, BRISK, KAZE, DAISY, and SuperPoint.
  • Experiments were conducted using a Google Tango phone in a real apartment, with sessions recorded at 30-minute intervals during sunset.

Main Results:

  • The multi-session map significantly improved re-localization accuracy across different illumination conditions.
  • The approach demonstrated robustness regardless of the visual features employed, confirming its feature-independent nature.
  • Performance was consistently enhanced, enabling reliable localization at any time of day.

Conclusions:

  • The proposed multi-session visual SLAM approach effectively mitigates re-localization failures caused by illumination changes.
  • This method provides a robust solution for improving autonomous navigation in visually dynamic indoor environments.
  • The feature-independent design ensures broad applicability across various visual perception systems.