Overcoming format, size, and workflow barriers with proven methods.
Clove Technologies – Research Hub
Point cloud data, captured via LiDAR or photogrammetry, enables accurate as-built modeling and digital twin creation. However, integrating these dense datasets into ArchiCAD often challenges professionals with lagging performance, alignment errors, and lengthy Scan-to-BIM workflows.
This white paper by Clove Technologies – Research Hub explores how to overcome these issues through structured workflows and intelligent optimization. It provides a step-by-step guide covering dataset preparation, import strategies, alignment verification, and modeling best practices.
Through real-world implementations, Clove Technologies has demonstrated up to 45% time savings and 99% alignment accuracy using optimized workflows and GNSS-based control alignment. Readers will gain actionable insights on improving performance, accuracy, and collaboration within ArchiCAD environments—bridging the gap between raw scan data and precise, usable BIM models.
Have you ever tried inserting massive point cloud files into ArchiCAD, only to watch your system slow to a crawl?
Do alignment errors, lagging models, or unresponsive views interrupt your Scan-to-BIM flow?
Point cloud data from LiDAR or photogrammetry gives architects and engineers unparalleled accuracy for as-built and renovation projects, but working with it inside ArchiCAD can be daunting. Large files, limited editability, and workflow bottlenecks often stand between raw scans and usable BIM models.
Q1: How can architects and BIM professionals efficiently use point cloud data in ArchiCAD?
A1: By optimizing datasets before import, segmenting scans, and applying control point + GNSS alignment, teams can achieve faster, more accurate modeling.
Q2: What challenges occur when importing large point clouds into ArchiCAD?
A2: Large files cause lag, misalignment, and workflow delays. This paper reveals Clove Technologies’ proven methods to optimize performance and streamline Scan-to-BIM operations.
To know the brief explanation and detailed solutions to the above queries, read the full white paper by Clove Technologies – Research Hub. It explores efficient point cloud management, optimization workflows, alignment techniques, and time-saving strategies that help architects and BIM professionals achieve higher accuracy and productivity within ArchiCAD.
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