Papers
2
Total Citations
16
H-Index
2
About
T. Landes is a researcher specializing in 3D spatial data acquisition, indoor modeling, and multi-sensor data fusion, with a particular focus on advancing the accuracy and completeness of building reconstruction. Their work sits at the intersection of remote sensing, cultural heritage documentation, and robotics, reflecting a broad and applied research vision. Among their notable contributions is the investigation of combining Terrestrial Laser Scanning (TLS) point clouds with 3D data from consumer-grade sensors such as the Kinect V2, a methodological approach that addresses a persistent challenge in indoor modeling: capturing areas that are difficult or impossible to reach with traditional surveying equipment. This fusion strategy has demonstrated measurable improvements in the robustness and accuracy of reconstructed building elements, making it relevant for applications ranging from architectural preservation to autonomous navigation. With 8 citations on this work, Landes has begun establishing a presence in the geospatial and heritage documentation communities. Their research highlights the value of integrating low-cost sensing technologies with high-precision instruments, a direction with significant practical implications as demand for detailed indoor spatial models continues to grow across industries. Students interested in point cloud processing, sensor fusion, or BIM modeling will find Landes' work a useful methodological reference.
Research Focus
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Top Papers
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