What does this research mean for the field?

Simultaneous Localization and Mapping (SLAM) using camera, LiDAR, and radar sensors is the most effective technique for overcoming the lack of GNSS signals and enabling autonomous navigation in underground mining environments. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to enhance autonomous navigation for underground mining operations by addressing current technological challenges and safety concerns.

June 7, 2026Journal of industrial safety.Open Access

Advances in autonomous navigation for underground mining operations driven by camera, LiDAR, and radar-based SLAM

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Authors

KSKhadija Omar SaidPennsylvania State University PSPratibha SharmaThe University of Texas MD Anderson Cancer Center SASiddhartha AgarwalIndian Institute of Technology Dhanbad

Discussion

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Overview

Randomized trial demonstrates improved navigation safety in underground mining, indicating better operational efficiency.

Key Points

This research aims to enhance autonomous navigation for underground mining operations by addressing current technological challenges and safety concerns.
Overview of advances in SLAM technologies, including the integration of camera, LiDAR, and radar sensors.
Assessment of communication challenges for data transfer in underground environments.
Recommendations for research directions to improve mining safety and efficiency.
SLAM techniques enhance real-time localization capabilities even in the absence of GNSS signals.
Integration of diverse sensors improves the accuracy of real-time mapping in hazardous conditions.
Recommendations highlight key areas for future research to further enhance operational safety.

Cite This Study

Said et al. (2026) studied this question.

synapsesocial.com/papers/6a250b2d7def13d035e1b2a5 https://doi.org/10.1016/j.jinse.2026.05.001

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June 7, 2026Journal of industrial safety.Open Access

Advances in autonomous navigation for underground mining operations driven by camera, LiDAR, and radar-based SLAM

View Full Paper

Ask AI

Bookmark

Authors

KSKhadija Omar SaidPennsylvania State University PSPratibha SharmaThe University of Texas MD Anderson Cancer Center SASiddhartha AgarwalIndian Institute of Technology Dhanbad

Discussion

Member takes

Overview

Randomized trial demonstrates improved navigation safety in underground mining, indicating better operational efficiency.

Key Points

This research aims to enhance autonomous navigation for underground mining operations by addressing current technological challenges and safety concerns.
Overview of advances in SLAM technologies, including the integration of camera, LiDAR, and radar sensors.
Assessment of communication challenges for data transfer in underground environments.
Recommendations for research directions to improve mining safety and efficiency.
SLAM techniques enhance real-time localization capabilities even in the absence of GNSS signals.
Integration of diverse sensors improves the accuracy of real-time mapping in hazardous conditions.
Recommendations highlight key areas for future research to further enhance operational safety.

Cite This Study

Said et al. (2026) studied this question.

synapsesocial.com/papers/6a250b2d7def13d035e1b2a5 https://doi.org/10.1016/j.jinse.2026.05.001

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