Publications by authors named "Ickbum Kim"

Article Synopsis
  • The text discusses the need for improved autonomous navigation algorithms for planetary landings, particularly during the powered descent phase, due to the increasing complexity of space missions.
  • It highlights a new approach using CNN-based Deep Learning models that utilize classification probabilities to enhance the position estimation of lander spacecraft based on image and depth data from onboard sensors.
  • The effectiveness of this new navigation method is validated through Monte Carlo analysis, indicating its potential for real-world applications in space exploration.
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