Drone LiDAR Mapping & Photogrammetry Systems
Geodetics’ Geo-MMS (Mobile Mapping System) products and technologies advance the state-of-the-art in Drone-based LiDAR and RGB/Multispectral Photogrammetry delivering significant time/cost savings. Our Point&Pixel technology provides a tight coupling of RGB/Multispectral images and LiDAR sensor data delivering colorized LiDAR point clouds.
Customized Position Navigation & Timing Solutions
If our off-the-shelf solutions do not precisely meet your requirements, our dedicated team of project managers, support staff, scientists, algorithm developers, software, hardware and test engineers stand ready to work with you to precisely meet your application objectives.
Autonomous Driving Technologies
Geodetics offers a full toolkit and engineering expertise to support your autonomous driving project. offering deep experience in the real-time multi sensor fusion – GPS/IMU/Camera/LiDAR needed for these applications.
Geodetics is the go-to provider for LiDAR and RGB/Multispectral Drone mapping systems, Assured Positioning, Navigation and Timing (APNT) systems and sensor fusion for mobile applications in the air, on land and at sea
Specialists: LiDAR and RGB/Multispectral Drone mapping, Positioning, Navigation and Timing systems and advanced sensor fusion technologies
Team: Innovators, technical experts and partners focused on making technology accessible to customers with mission critical challenges
Core Competencies: Advanced algorithms, Kalman filtering, data and sensor fusion and national security measures offering cost efficient products and systems that can be tailored to support our customer’s unique applications
Capabilities: Relative navigation, integrated timing systems, high speed pointing and training for manned and autonomous vehicles in Aerospace & Defense programs and state-of-the-art LiDAR and RGB/Multispectral mapping systems for commercial drone operations in both domestic and international markets
Classification Features LiDAR Point Cloud File The classification of features from the standardized file format for LiDAR point clouds (.las) is based on algorithms which analyze the LiDAR point-cloud data properties. The reflectance characteristics of each detected...
Stewart A. Walker, (2019). GNSS/IMU the heart of lidar integration. LiDAR Magazine Vol 8 Issue 5 2019 View Article
Moafipoor, S., Bock, L. Fayman J.A. (2018). From Shipboard Landing to Aerial Refueling: Autonomous Relative Navigation. Proc. ION GNSS, The Institute of Navigation, 2018 Miami FL, CD
Moafipoor, S., Despres, B., Fayman J.A., Bock, L. Transfer Alignment Using Synergistic IMUs. Proc. ION GNSS, The Institute of Navigation, 2019 Tampa FL, CD