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Related Experiment Video

Updated: Jan 13, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy oSLO and Optical Coherence Tomography OCT
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Multi-View Omnidirectional Vision and Structured Light for High-Precision Mapping and Reconstruction.

Qihui Guo1, Maksim A Grigorev1, Zihan Zhang1

  • 1Department of Electric Drive, Mechatronics and Electromechanics, South Ural State University, Chelyabinsk 454080, Russia.

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|October 29, 2025
PubMed
Summary

We created a virtual simulation for omnidirectional vision systems, improving obstacle reconstruction and distance estimation. This platform offers a cost-effective and safe alternative to physical testbeds for robotics research.

Keywords:
computer visionenvironment modelingmeasurementsomnidirectional imagessimulationvirtual omnidirectional camera model

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Area of Science:

  • Robotics and Computer Vision

Background:

  • Omnidirectional vision is crucial for autonomous navigation and mapping.
  • Physical testbeds for omnidirectional vision are expensive, risky, and inefficient.

Purpose of the Study:

  • To develop a flexible virtual simulation platform for multi-view omnidirectional vision.
  • To propose and validate a novel reconstruction and ranging method using fused omnidirectional images and structured-light projection.

Main Methods:

  • Development of a cross-platform virtual simulation environment for omnidirectional vision.
  • Implementation of a fusion method combining multi-view omnidirectional images with structured-light projection.
  • Validation through experiments in both simulated and real-world environments.

Main Results:

  • Achieved high-precision obstacle contour reconstruction and distance estimation.
  • Demonstrated distance errors within 8 mm in real-world experiments.
  • Showcased robust performance across various camera configurations.

Conclusions:

  • The virtual simulation platform provides a practical and efficient solution for omnidirectional vision research.
  • The proposed fusion method enables accurate 3D perception without complex hardware or calibration.
  • The platform facilitates cost-effective development and testing of autonomous systems.