Shabnam Jabari
Papers
1
Total Citations
5
H-Index
1
About
Shabnam Jabari is a rising researcher in the fields of autonomous systems, remote sensing, and 3D spatial data fusion. Her work focuses on the critical challenge of registering data from heterogeneous sensors—specifically, aligning 2D optical camera images with 3D LiDAR point clouds. This cross-modal registration is essential for enhancing spatial awareness in autonomous driving, robotics, and geographic information systems. Her most cited paper, "Enhancing Cross-Modal Camera Image and LiDAR Data Registration Using Feature-Based Matching" (2025), directly addresses the difficulty of aligning data from sources with distinct coordinate systems and orientations, proposing novel feature-based methods to improve accuracy. With 5 citations already, this work is gaining traction in a rapidly evolving field. Jabari’s contributions are particularly notable for tackling the practical hurdles of multi-sensor integration, a cornerstone of modern perception systems. Her research holds promise for advancing the reliability and precision of autonomous navigation and environmental mapping, marking her as a key voice in the next generation of geospatial and robotics researchers.
Research Focus
Key Achievements
Top Papers
- 1