Artificial intelligence (AI) and machine learning (ML) are transforming the geospatial and reality capture industries by enabling unprecedented efficiency, precision, and automation. This session features expert insights into cutting-edge AI/ML applications for surveying, data processing, and geospatial analysis, offering attendees valuable knowledge on implementing these technologies effectively.
Developing Machine Learning Solutions in Reality Capture
This presentation provides a comprehensive guide to launching ML initiatives for reality capture, including a case study on automating Scan-to-BIM processes. Attendees will learn about the technical, strategic, and operational aspects of ML deployment, including the criteria for automation, hardware and dataset requirements, in-house versus external development, and the critical role of human expertise in managing risks and evaluating progress. Presentation by Thomas Czerniawski, Integrated Projects Technology Inc.
AI in Surveying Workflows: From Point Cloud Classification to Complete Analysis Workflows
Focusing on real-world applications, this presentation demonstrates how AI is revolutionizing surveying workflows. Attendees will explore the capabilities of AI-powered tools for point cloud classification and feature extraction, which automate repetitive tasks, increase accuracy, and enable surveyors to concentrate on complex analysis. Examples will highlight the use of AI for categorizing and extracting features to improve data utilization. Presentation by Khrystyna Bezborodova, Trimble
GeoAI Projects for Real-World Impact
This presentation highlights a variety of GeoAI projects developed through partnerships with government and academic researchers. Projects include AI-driven solutions for land use optimization, emissions and air quality prediction, UAS mapping in GPS-denied environments, and traffic signal control for reduced emissions. Attendees will gain insights into the broader societal and commercial impact of GeoAI applications. Presentation by Lokendra Chauhan, Qen Labs Inc.
Accelerating Mobile Lidar Surveying Workflows with AI Feature Extraction
This presentation explores AI-driven workflows that accelerate feature extraction from lidar and imagery data, transforming 3D point clouds into CAD and GIS models up to 30 times faster. Attendees will learn about QA/QC strategies, tool selection considerations, and examples of automated workflows in transportation and site development projects. Presentation by Alexander Baikovitz Co-Founder and CEO Mach9
These talks will be followed by a discussion and Q&A session, providing attendees with the opportunity to engage directly with the speakers. This interactive segment will allow participants to delve deeper into the topics, ask specific questions, and gain additional insights on applying AI and ML in geospatial and reality capture workflows.
