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Artificial Intelligence for Space Traffic Management: Challenges and Opportunities

EasyChair Preprint no. 11830

8 pagesDate: January 20, 2024


The increasing number of satellites and space debris in Earth's orbit poses significant challenges to space traffic management. Artificial Intelligence (AI) has emerged as a potential solution to address these challenges by enabling automated decision-making, collision avoidance, and efficient orbital maneuver planning. This research paper examines the challenges associated with space traffic management and explores the opportunities and applications of AI in mitigating these challenges. Through a comprehensive analysis, this paper highlights the potential benefits, limitations, and future directions of AI in space traffic management.

Keyphrases: Artificial Intelligence, Automation, collision avoidance, Orbital maneuver planning, Space Traffic Management

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Asad Ali and Ansar Sharif},
  title = {Artificial Intelligence for Space Traffic Management: Challenges and Opportunities},
  howpublished = {EasyChair Preprint no. 11830},

  year = {EasyChair, 2024}}
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