Large, multi phase, or complex projects often require extensive control setup and manual dataset alignment, adding significant time in the field and office while slowing project delivery.
For surveying and reality capture teams working under tight timelines and margin pressure, alignment workflows can quickly become a major operational bottleneck.
In this webinar, discover how Cross Dataset Alignment (CDA) in NavVis automates multi dataset alignment to reduce control dependency, minimize manual rework, and accelerate processing while still achieving survey grade results.
You'll see how teams can capture and process large or complex environments more efficiently using shared reference points and cross dataset loop closures instead of extensive surveyed control networks.
Join Radoslaw Raczynski (Head of Scan to BIM, Exact) and Mark Wakeling (Technology and Innovation Director, Plowman Craven) as they share:
- How CDA fits into real world surveying and reality capture workflows
- Where control can be reduced and where it still matters
- The operational and cost impact they've seen in the field and during processing
- Practical lessons around QA, validation, and client communication
- How automated alignment helps teams deliver faster without compromising confidence in the final deliverable
Moderated by Morten Hellemann, Senior Customer Success Manager at NavVis.
Key Takeaways
Reduce Time Spent Setting Up Control
Learn how customers are reducing dependence on extensive surveyed control across large or complex projects, including environments where traditional setup is difficult or inefficient.
Outcome: Less time spent placing control and more efficient capture workflows in the field.
Accelerate Processing and Project Delivery
See how teams are using CDA to reduce manual alignment work, streamline multi dataset processing, and speed up delivery timelines.
Outcome: Faster turnaround from capture to final deliverable with less manual rework.
Maintain Confidence in Survey Grade Results
Hear how customers validate alignment quality, approach QA workflows, and communicate automated alignment methods to clients and stakeholders.
Outcome: Greater confidence adopting automated alignment workflows on real world projects
