Luis Fernando Mora
Papers
1
Total Citations
14
H-Index
1
About
Luis Fernando Mora is a researcher in robotics and autonomous systems, with a focus on 3D perception and LiDAR-based environmental mapping. His most-cited work, "3D Scene Reconstruction Based on a 2D Moving LiDAR" (2018, 14 citations), introduces a cost-effective method for generating dense 3D point clouds by leveraging a single 2D LiDAR sensor in motion. This contribution is particularly significant for mobile robotics and autonomous navigation, where accurate spatial understanding is critical yet hardware constraints often limit sensor budgets. By demonstrating that high-fidelity 3D reconstruction is achievable without expensive 3D LiDAR units, Mora’s research has provided a practical pathway for scalable perception systems. His work has been cited in studies on simultaneous localization and mapping (SLAM), autonomous vehicle perception, and real-time environment modeling. Mora’s approach balances computational efficiency with reconstruction accuracy, making it suitable for embedded and resource-limited platforms. His contributions continue to influence the development of accessible, robust perception technologies for field robotics and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 13D Scene Reconstruction Based on a 2D Moving LiDAR14 citations · 2018