Basilio Caruso
Papers
1
Total Citations
4
H-Index
1
About
Basilio Caruso is a leading researcher at the intersection of computer vision and space situational awareness, with a primary focus on the 3D reconstruction of non-cooperative resident space objects (RSOs). His most-cited work, published in 2023, introduces a groundbreaking approach that leverages Instant Neural Graphics Primitives (Instant NGP)-accelerated NeRF and D-NeRF to generate high-definition 3D models of space debris and defunct satellites. This contribution directly addresses critical challenges in active debris removal, on-orbit servicing, and spacecraft classification, enabling more precise identification and manipulation of uncooperative targets in orbit. Caruso’s research bridges advanced machine learning techniques with practical aerospace engineering, achieving notable early impact with four citations since publication. His work stands out for its innovative application of neural rendering to the harsh, dynamic environment of space, offering a scalable solution for monitoring and managing the growing orbital debris population. By pushing the boundaries of non-cooperative object reconstruction, Caruso is shaping the future of safe and sustainable space operations, making him a rising voice in the field of space robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1