Keyvan Kanani
Papers
6
Total Citations
164
H-Index
6
About
Keyvan Kanani is a specialist in computer vision and autonomous navigation, with a particular focus on model-based tracking, 3D pose estimation, and vision-based systems for space applications. His most influential work centers on autonomous spacecraft rendezvous, where he has pioneered the use of vision-based navigation to meet the demanding performance requirements of proximity operations in space. His landmark 2011 study on vision-based autonomous rendezvous — among his most cited contributions, accumulating over 90 citations across related publications — demonstrated a 3D model-based tracking algorithm validated against a mock-up telecommunication satellite using a 6-DOF robotic setup, establishing a practical foundation for spaceborne autonomy. Beyond space applications, Kanani has made significant methodological advances in robust object tracking, developing techniques that fuse complementary geometrical edge, color, and keypoint features to achieve reliable pose estimation even in highly dynamic or textureless scenes. His 2013 and 2014 papers reflect a sustained effort to push the boundaries of model-based tracking under real-world conditions. More recently, his work on the Airbus SurRender image simulation software highlights his applied contributions to the space industry, bridging algorithm development with high-fidelity rendering tools essential for validating vision-based navigation systems.
Research Focus
Key Achievements
Top Papers
- 1Vision-based space autonomous rendezvous: A case study48 citations · 2011
- 2Vision-based space autonomous rendezvous: A case study45 citations · 2011
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- 53D object pose detection using foreground/background segmentation12 citations · 2015
- 6Image simulation for space applications with the SurRender software8 citations · 2021