IEEE Robotics & Automation Magazine · 2006 · 2.5K citations · 44 references
EngineeringLocation EstimationField RoboticsComputational ComplexityLocalizationMappingSimultaneous LocalizationKinematicsComputational GeometryAutomatic NavigationCartographyMachine VisionVehicle LocalizationComputer ScienceAutonomous NavigationComputer VisionOdometryRoboticsRecursive Bayesian Formulation
This paper discusses the recursive Bayesian formulation of the simultaneous localization and mapping (SLAM) problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained. The paper focuses on three key areas: computational complexity; data association; and environment representation.
44
A metric for distributions with applications to image databases
Yossi Rubner, Carlo Tomasi, Leonidas Guibas · 2002 · 1.7K citations
Globally Consistent Range Scan Alignment for Environment Mapping
Feng Lu, Evangelos Milios · Autonomous Robots · 1997 · 1.3K citations