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About

Henrique Lorenzo is a researcher specializing in 3D spatial computing, indoor mapping, and smart construction technologies, with a particular focus on point cloud processing, LiDAR systems, and Building Information Modeling (BIM). His work sits at the intersection of geomatics, computer vision, and architectural engineering, addressing real-world challenges in construction monitoring and indoor navigation. Lorenzo's most impactful contribution, "From BIM to Scan Planning and Optimization for Construction Control" (2019, 45 citations), introduces an automated method for determining optimal scan positions using BIM data, significantly advancing construction progress assessment efficiency. Complementing this, his development of a wearable indoor mapping prototype based on 3D-SLAM and Velodyne LiDAR technology (2018, 44 citations) demonstrates his hands-on approach to translating cutting-edge sensing technologies into practical mapping solutions. Beyond data acquisition, Lorenzo has tackled downstream challenges including obstacle-aware indoor pathfinding from point clouds (2019, 20 citations), with applications ranging from accessibility assistance to emergency training, and 3D room segmentation using mathematical morphology (2020), advancing the field of indoor spatial reconstruction. Collectively, his research has garnered over 115 citations, establishing him as a meaningful contributor to the growing field of intelligent 3D indoor environments.