Simultaneous Localization and Mapping (SLAM): Part I — The Essential Algorithms
A tutorial treatment of the probabilistic foundations and core formulations of SLAM.
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22 results for “SLAM”
Also matched: mapping, sensor fusion, localizationA tutorial treatment of the probabilistic foundations and core formulations of SLAM.
The problem of estimating a system's location while building or updating a map of an initially uncertain environment.
SLAM estimates a machine's location while constructing or updating a map of an initially uncertain environment.
Drones, vehicles and marine robots collect georeferenced imagery or range data for maps and models.
Sensor fusion combines measurements from multiple sensors to estimate a system or environment more reliably than a single stream alone.
Matrice 400 is a configurable enterprise multirotor for inspection, mapping and public-safety workflows. Values are DJI specifications under stated test conditions.
HUGIN is a family of autonomous underwater vehicles for seabed mapping, inspection and defense-related missions.
Voyager is an uncrewed surface vehicle for ocean mapping, maritime domain awareness and data collection.
A mobile robot that uses onboard sensing and planning to navigate within an operating environment, usually under defined constraints.
A ranging method that measures reflected laser light to estimate distance and build spatial data.
Deep-ocean autonomous underwater vehicle operated by WHOI for high-resolution seafloor mapping and scientific sensing.
Lift EL1 is a compact autonomous lift truck for high-frequency, low-lift pallet moves in constrained warehouse and fulfillment environments.
OS1 is a mid-range digital lidar family for robotics, industrial and mobility perception.
Large autonomous underwater vehicle developed for deep-water survey and search missions.
Deep-ocean autonomous underwater vehicle designed for long-duration survey and search missions.
Handheld robotic-assisted platform supporting planning and bone preparation in specified knee procedures.
Tractor-mounted robotic system designed for plant-level application and field data collection.
Computational methods that extract information from images or video, including detection, tracking, segmentation and depth estimation.
A sensor assembly that measures acceleration and angular motion, often using accelerometers and gyroscopes.
A sensing method that transmits radio waves and analyzes reflections to estimate properties such as range, direction or relative velocity.
Autonomous navigation combines perception, localization, planning and control so a machine can move toward goals with limited direct human input.
Lidar measures distance by timing reflected laser light and can build geometric representations of surroundings.