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Haoping She

2 accepted papers

2025

SDPENet: A Lightweight Spacecraft Pose Estimation Network With Discrete Euler Angle Probability Distribution

Hang Zhou, Lu Yao, Haoping She, Weiyong Si
RA-L 2025

Utilizing deep learning techniques for spacecraft pose estimation enables using low-cost sensors like monocular cameras. However, the existing methods have drawbacks, such as complex models or low estimation accuracy. Therefore, this letter proposes the Spacecraft Discrete Pose Estimation Network (S

Cited by 6Source ↗Scholar ↗
2025

SDPENetv2: Spacecraft Pose Estimation Network With Learnable Token Head Based on Discrete Pose Weights

Hang Zhou, Lu Yao, Haoping She, Weiyong Si
RA-L 2025

Reliable pose estimation of non-cooperative spacecraft is a key technology for on-orbit servicing and active space debris removal missions. Currently, deep learning has become the mainstream method for spacecraft pose estimation. However, existing methods suffer from problems such as excessive param

Cited by 0Source ↗Scholar ↗