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Inertial Labs Announces Software Update for RESEPI's PCMasterPro in Collaboration with BayesMap

Inertial Labs Announces Software Update for RESEPI's PCMasterPro in Collaboration with BayesMap

12 December 2023

Inertial Labs, a pioneer in inertial sensors and systems, is excited to announce the release of the latest PCMasterPro software updates for RESEPI. This update introduces a strip alignment algorithm developed by BayesMap.

This collaboration brings forth Fast, Automated Point Cloud Alignment, enhancing the capabilities of UAV LiDAR systems. The new software further simplifies the process of geometric calibration and quality control, making it more efficient and user-friendly.

Jamie Marraccini, CEO of Inertial Labs, expressed excitement about this partnership: "Our collaboration with BayesMap has enabled us to integrate their advanced strip alignment algorithms, taking our RESEPI solution to a new height of performance and reliability."

André Jalobeanu, President of BayesMap, commented on this collaboration: "Working with Inertial Labs has been a remarkable experience. Our combined expertise in geospatial technology has allowed us to deliver a solution that is not only fast and automated but also sets a new standard in point cloud alignment and analysis."

The software update is now available for all users of RESEPI.

About Inertial Labs

Founded in 2001 and based in Northern Virginia, Inertial Labs is a trailblazer in developing innovative essential navigation solutions for our customers by providing state-of-the-art products and services so that they can achieve their ideas and aspirations. We plan to continue providing a high-quality, cost-competitive, quick turnaround service while adding cutting-edge technology to our capabilities.

For further information and specifications on the Inertial Labs products, please call +1-703-880-4222, e-mail, or visit us on the Web:

About BayesMap

BayesMap is a renowned name in the geospatial technology sector, specializing in advanced algorithms and solutions for spatial data analysis and alignment. For more information, please visit:

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