V. Sequeira
Papers
8
Total Citations
156
H-Index
5
About
V. Sequeira is a pioneering researcher in the fields of 3D computer vision, mobile robotics, and automated environment reconstruction. Their major contributions lie in developing integrated systems that combine laser range sensing with autonomous navigation to create realistic 3D models of indoor environments. Sequeira’s early work introduced a push trolley prototype and later an autonomous robot capable of acquiring and reconstructing 3D scenes from multiple scan views, addressing critical challenges like occlusion and data fusion. Their most cited paper, “Automated 3D reconstruction of interiors with multiple scan views” (1998, 52 citations), laid the groundwork for modern 3D scene analysis, while “3D environment modelling using laser range sensing” (1995, 37 citations) and “3D reconstruction of indoor environments” (2002, 27 citations) further advanced the field. Sequeira also explored active view selection to optimize reconstruction efficiency and applied robotics to specialized domains, such as the surveillance of fissile materials and crane-based robotic devices for nuclear storage inspection. With over 150 citations across their key works, Sequeira’s research has significantly influenced autonomous mapping and 3D modeling, making them a notable figure in robotics and spatial data acquisition.
Research Focus
Key Achievements
Top Papers
- 1
- 23D environment modelling using laser range sensing37 citations · 1995
- 33D reconstruction of indoor environments27 citations · 2002
- 4Active view selection for efficient 3D scene reconstruction27 citations · 1996
- 5<title>3D scene modeling from multiple range views</title>5 citations · 1995
- 6Construction of the 3D Model of an Unknown Environment using Range Data3 citations · 1996
- 7
- 8A Crane-Based Robotic Device for Operating Inside Storage Cells2 citations · 2012