Computational navigational technique used by robots and autonomous vehicles
2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system.A map generated by a SLAM Robot
Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve it in, at least approximately, tractable time for certain environments. Popular approximate solution methods include the particle filter, extended Kalman filter, covariance intersection, and GraphSLAM. SLAM algorithms are based on concepts in computational geometry and computer vision, and are used in robot navigation, robotic mapping and odometry for virtual reality or augmented reality.
SLAM algorithms are tailored to the available resources and are not aimed at perfection but at operational compliance. Published approaches are employed in self-driving cars, unmanned aerial vehicles, autonomous underwater vehicles, planetary rovers, newer domestic robots and even inside the human body.
and 26 Related for: Simultaneous localization and mapping information
Simultaneouslocalizationandmapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously...
when errors in localization are incorporated into the map. This problem is commonly referred to as Simultaneouslocalizationandmapping (SLAM). An important...
competences: Self-localization Path planning Map-building and map interpretation Some robot navigation systems use simultaneouslocalizationandmapping to generate...
such as the MPEG series including the most recent HEVC. In simultaneouslocalizationandmapping, a 3D model of a scene is reconstructed using images from...
navigation system Indoor positioning system Robotic mappingSimultaneouslocalizationandmapping Spherical trigonometry Voyage of the James Caird Waypoint...
x_{2})=(R_{1}R_{2},x_{1}+R_{1}x_{2},v_{1}+R_{1}v_{2})} The problem of simultaneouslocalizationandmapping also fits the framework of invariant extended Kalman filtering...
information on traffic conditions and suggesting alternative directions[citation needed] simultaneouslocalizationandmapping acoustic positioning for underwater...
with real-time locating systems (RTLS) like Syledis or simultaneouslocalizationandmapping (SLAM). The most basic radio-navigational aid used in aviation...
objects Remote Sensing and Photogrammetry Society – British learned society Stereoplotter Simultaneouslocalizationandmapping – Computational navigational...
functionality and applications such as hardware drivers, robot models, datatypes, planning, perception, simultaneouslocalizationandmapping (SLAM), simulation...
outlets reported that Gadget Flow enabled Apple's ARKit andsimultaneouslocalizationandmapping technology to show products in augmented reality. In October...
fields-of-view and can rely on GPS coordinates (which makes it simple mapping rather than SLAM). Two related research fields are photogrammetry and LIDAR, especially...
sensors and allows the robot to map where it is relative to its surroundings. The navigational method is called simultaneouslocalizationandmapping, or...
This is a list of simultaneouslocalizationandmapping (SLAM) methods. The KITTI Vision Benchmark Suite website has a more comprehensive list of Visual...
systems is referred to as inside-out tracking, including Simultaneouslocalizationandmapping (SLAM) or Visual-inertial odometry (VIO). One example of...
grasp and lift objects and walk by itself, avoiding obstacles through simultaneouslocalizationandmapping. The robot accepts voice commands and can recognize...
matching in simultaneouslocalizationandmapping (SLAM) and relative position tracking, the algorithm was extended to 3D point clouds and has wide applications...
inertial measurement unit (IMU), monocular camera Simultaneouslocalizationandmapping (SLAM) and WiFi SLAM. Integration of data from various navigation...
Sparse matrix Collinearity equation Structure from motion Simultaneouslocalizationandmapping B. Triggs; P. McLauchlan; R. Hartley; A. Fitzgibbon (1999)...
Direct sparse odometry, a machine vision algorithm for simultaneouslocalizationandmapping Dynamic shared object, in computing Drakensang Online, the...
after the release of NeRF, the addition of Fourier Feature Mapping improved training speed and image accuracy. Deep neural networks struggle to learn high...
branch and bound (JCBB) is an algorithm in computer vision and robotics commonly used for data association in simultaneouslocalizationandmapping. JCBB...
Laboratory for Robotics and Artificial Intelligence. He is known for his substantial contributions to the simultaneouslocalizationandmapping (SLAM) problem...
Slamdancing, a style of dance Simultaneouslocalizationandmapping (or SLAM), a navigation technique used by robots and autonomous vehicles SLAM project...
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