MANTIS Director Dr. Michael J. Starek delivered a technical presentation at the 2025 Texas Department of Transportation (TxDOT) Geospatial Conference, held in San Marcos, Texas. His talk, titled “Control and Alignment of Reality Capture Surveys: From the Ground Up,” highlighted emerging methodologies that strengthen the accuracy, reliability, and long-term utility of 3D mapping products used throughout transportation workflows.
As TxDOT continues its Digital Delivery initiative, the need for robust, repeatable, and high-fidelity spatial data has become increasingly vital. Dr. Starek addressed this priority by examining best practices for controlling and aligning dense 3D point clouds, which are data products foundational to contemporary digital survey pipelines. His discussion emphasized that reality capture datasets generated from UAS photogrammetry, mobile and terrestrial LiDAR, and SfM techniques play an integral role in engineering design, construction support, and the creation of digital twins of transportation infrastructure.
The presentation provided a comprehensive overview of strategies used to ensure that dense 3D datasets remain consistent and accurately georeferenced across multiple survey epochs. Key topics included: (1) direct and indirect georeferencing approaches, highlighting their implications for positional accuracy and workflow efficiency, (2) point cloud registration techniques, including both target-based and targetless methods for aligning heterogeneous datasets, (3) SLAM-based solutions that improve real-time mapping and navigation capabilities, particularly in constrained or GPS-limited environments, (4) multi-epoch data fusion methods, such as 4D SfM, enabling detailed temporal analysis and reliable change detection, and (5) error propagation considerations, emphasizing how uncertainty affects downstream decision-making, especially in detecting, quantifying, and interpreting change.
Dr. Starek also presented field examples drawn from repeat UAS and LiDAR surveys, illustrating practical considerations for deploying these methods in real-world transportation contexts. These examples demonstrated how rigorous control and alignment workflows improve model accuracy, enhance project coordination, and support long-term monitoring of evolving roadway and infrastructure conditions.
By addressing both methodological foundations and field-tested applications, Dr. Starek’s presentation contributed to a broader conversation on how geospatial technologies can streamline transportation project delivery and strengthen data-driven decision support. His work underscores MANTIS’s ongoing commitment to advancing geospatial science, fostering innovation, and supporting agencies like TxDOT in leveraging reality capture technologies for safer, more efficient, and more resilient infrastructure systems.
