Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Ovary single-nucleus transcriptomics reveal follicle cell maturation as a driver of reproductive hierarchy in bumblebees.

Insect science·2026

Same author

Smartphone-based lightweight AI system for real-time multiple anterior segment disease screening: development and real-world validation.

BMC medicine·2026

Same author

Erratum: [Corrigendum] Silencing glioma-associated oncogene homolog 1 suppresses the migration and invasion of hepatocellular carcinoma <i>in vitro</i>.

Oncology letters·2026

Same author

A TabPFN-based prediction system for refractive error and dry eye comorbidity: a retrospective study using large-scale real-world data.

Frontiers in cell and developmental biology·2026

Same author

Chirality-driven interface engineering of CuO hierarchical architectures for augmented peroxidase-like activity and interfacial antibacterial application.

Journal of colloid and interface science·2026

Same author

Artesunate alleviates post-central stroke pain by inhibiting metabotropic glutamate receptor 5 in the cerebral cortex in rats.

Neuroscience·2026

Same journal

DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery.

Frontiers in neurorobotics·2026

Same journal

ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation.

Frontiers in neurorobotics·2026

Same journal

ST-HADP: Spatio-Temporal hierarchical attention diffusion policy for long-horizon generalizable bimanual visuomotor imitation.

Frontiers in neurorobotics·2026

Same journal

EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception.

Frontiers in neurorobotics·2026

Same journal

Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments.

Frontiers in neurorobotics·2026

Same journal

NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.

Frontiers in neurorobotics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 17, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Robust visual SLAM algorithm based on target detection and clustering in dynamic scenarios.

Fubao Gan¹, Shanyong Xu¹, Linya Jiang¹

¹School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, China.

Frontiers in Neurorobotics

|August 7, 2024

Summary

This summary is machine-generated.

This study introduces a visual Simultaneous Localization and Mapping (SLAM) algorithm that improves accuracy in dynamic environments by ignoring moving objects. The enhanced SLAM system significantly boosts positioning precision for robots and autonomous vehicles.

Keywords:

clustering dynamic scenarios feature points target detection visual SLAM

More Related Videos

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

Related Experiment Videos

Last Updated: Jun 17, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

Area of Science:

Robotics and Computer Vision
Artificial Intelligence and Machine Learning

Background:

Traditional Simultaneous Localization and Mapping (SLAM) algorithms struggle with dynamic environments due to moving objects.
Camera pose estimation accuracy is compromised by the presence of dynamic elements in visual SLAM.

Purpose of the Study:

To develop a robust visual SLAM algorithm capable of handling dynamic scenarios.
To enhance the accuracy and real-time performance of visual SLAM systems in environments with moving targets.

Main Methods:

Integration of an improved YOLOv5 target detection module into the SLAM front-end.
Identification and exclusion of feature points associated with dynamic objects.
Utilizing feature points from static targets for frame-to-frame matching.

Main Results:

Demonstrated an average improvement of 85.70% and 30.92% in positioning accuracy on the TUM dataset in highly dynamic scenarios.
Achieved superior real-time performance compared to DynaSLAM while maintaining a comparable Absolute Trajectory Error (ATE) index.
Significantly reduced pose estimation errors and enhanced overall visual SLAM robustness.

Conclusions:

The proposed visual SLAM algorithm effectively mitigates errors caused by dynamic objects.
The system offers enhanced positioning accuracy and robustness, outperforming traditional methods in challenging environments.
This approach provides a viable solution for reliable navigation in complex, dynamic real-world scenarios.