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September 10, 2025The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesOpen Access

Investigation and Implementation of Multi-Stereo Camera System Integration for Robust Localization in Urban Environments

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Authors

ARAbhishek RaiIndian Institute of Technology Roorkee EMEslam MounierQueen's University PAPaulo Ricardo Marques de AraujoQueen's University

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Implication

This research demonstrates improved localization in urban environments using a multi-stereo camera system, highlighting its advantages over traditional LiDAR.

Key Points

Accurate localization was achieved in 85% of cases tested, indicating the effectiveness of the multi-sensor approach.
The multi-stereo camera array provides 360° perception, addressing challenges posed by urban environments.
Computer vision algorithms were employed to create 3D point clouds from stereo-images, enabling precise localization.
This approach offers a cost-effective alternative to LiDAR systems while ensuring sufficient accuracy in various lighting conditions.

Cite This Study

Rai et al. (2025) studied this question.

synapsesocial.com/papers/68c1a41654b1d3bfb60deed2 https://doi.org/10.5194/isprs-archives-xlviii-g-2025-1255-2025

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Implication

This research demonstrates improved localization in urban environments using a multi-stereo camera system, highlighting its advantages over traditional LiDAR.

Investigation and Implementation of Multi-Stereo Camera System Integration for Robust Localization in Urban Environments

Discussion

Member takes

Implication

Key Points

Cite This Study

Investigation and Implementation of Multi-Stereo Camera System Integration for Robust Localization in Urban Environments

Discussion

Member takes

Implication

Key Points

Cite This Study

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