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Figure 1 from the paper diagrams estimated and true robot poses, landmarks, controls, and observations in the essential SLAM problem.
Image: Hugh Durrant-Whyte and Tim Bailey / IEEE ↗
SCHOLARLY RECORD / IEEE ROBOTICS & AUTOMATION MAGAZINE

Simultaneous Localization and Mapping (SLAM): Part I — The Essential Algorithms

Hugh Durrant-Whyte, Tim Bailey

ConfirmedJun 2006DOI 10.1109/MRA.2006.1638022Observatory review: Aug 20, 2026
Educational abstract, not a reproduction

This page preserves only an Observatory-written summary and context. The original source remains authoritative for the paper’s language, methods, findings and limitations.

Plain-language summary

A tutorial treatment of the probabilistic foundations and core formulations of SLAM.

Why it matters

It provides foundational context for a navigation problem used across mobile robots, drones and autonomous vehicles.

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