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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56510

A Survey of Artificial Intelligence Techniques for Space Debris Detection, Tracking, and Mitigation

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM56510

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56510

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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PB

Pranavi Bathi

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Abstract

Space debris is considered a major challenge for space activities, and has gained significant attention in recent times. Satellites, rocket fragments, and other human activities have resulted in an increase in damaged satellites and collision debris in Earth’s orbital space. Conventional debris detection technologies are often ineffective in managing the growing volume of space debris and the associated complex data. Artificial intelligence is recognized as an efficient technology for space debris detection, tracking, collision prediction, and mitigating its effects. This survey paper provides an overview of space debris, its adverse effects, statistics, and AI techniques for handling space debris.

KEYWORDS

Space Debris Artificial Intelligence Machine Learning Space Situational Awareness Collision Avoidance

Cite This Article

Pranavi Bathi, "A Survey of Artificial Intelligence Techniques for Space Debris Detection, Tracking, and Mitigation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM56510

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Publication Date

12/1/2026

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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