Geospatial Intelligence for Robotics and Autonomous Systems
How positioning, mapping, sensing, and spatial registration support robotic and semi-autonomous field platforms.
A platform needs spatial awareness
Robotic and semi-autonomous systems need to understand where they are, how they are oriented, what their sensors observe, and how those observations relate to the operating environment. GNSS/INS, LiDAR, odometry, imagery, and calibration may all contribute.
The objective is not visual effect. It is a reliable relationship between movement, sensor observations, coordinate frames, and the environment model.
Integration must be planned as a system
Timing, mounting geometry, sensor selection, data handling, localization, and verification need to be considered together. A useful workflow starts with the platform task and the field decision it must support.
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The appropriate method depends on the environment, decision, control strategy, deliverables, and quality plan.
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