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Computational navigational technique used by robots and autonomous vehicles
Simultaneous localization and mapping (SLAM) is a problem in photogrammetry where a computer constructs or updates a map of an unknown environment while
Simultaneous localization and mapping
Simultaneous_localization_and_mapping
Discipline related to computer vision and cartography
when errors in localization are incorporated into the map. This problem is commonly referred to as Simultaneous localization and mapping (SLAM).[citation
Robotic_mapping
Robot's ability to navigate
competences: Self-localization Path planning Map-building and map interpretation Some robot navigation systems use simultaneous localization and mapping to generate
Robot_navigation
Volume rendering technique
precise and fast meshes from 3D Gaussian splatting. SplaTAM: Applies 3D Gaussian-based radiance fields to Simultaneous Localization and Mapping (SLAM)
Gaussian_splatting
Process used in video coding/compression
such as the MPEG series including the most recent HEVC. In simultaneous localization and mapping, a 3D model of a scene is reconstructed using images from
Motion_estimation
Computer technology related to computer vision and image processing
false negative. For simultaneous object localization and classification, a true positive is one where the class label is correct, and the bounding box has
Object_detection
Vehicle operated with reduced or no human input on public roads
trajectories. Some systems use Bayesian simultaneous localization and mapping (SLAM) algorithms. Another technique is detection and tracking of other moving objects
Self-driving_car
Virtual reality headset
monochrome passthrough cameras and infrared emitters for inside-out tracking using simultaneous localization and mapping (SLAM) similar to the Meta Quest
Steam_Frame
German-American entrepreneur (born 1967)
thousands of visitors over a two-week deployment and contributed to advances in simultaneous localization and mapping (SLAM). He also led the Nursebot project
Sebastian_Thrun
Electronic navigational aid
information on traffic conditions and suggesting alternative directions[citation needed] simultaneous localization and mapping acoustic positioning for underwater
Navigation_system
Method of 3D reconstruction from moving objects
moving Motion field Motion parallax Semi-global matching Simultaneous localization and mapping Stereophotogrammetry Swept-plane display Tomasi–Kanade factorization
Structure_from_motion
Means of calculating position
Honda Point disaster Indoor positioning system Robotic mapping Simultaneous localization and mapping Spherical trigonometry Voyage of the James Caird Waypoint
Dead_reckoning
Mechanical and/or programmable systems responsible for the precise movement of robots
sensors and allows the robot to map where it is relative to its surroundings. The navigational method is called simultaneous localization and mapping, or
Robot_control
Symbolic depiction of spatial relationships
"Past, Present, and Future of Simultaneous Localization And Mapping". IEEE Transactions on Robotics. 32 (6). Institute of Electrical and Electronics Engineers:
Map
Leading robotic research center in India
methods and tools for perception, mapping and path planning. Over the years research has extended in the fields of Simultaneous Localization and Mapping (SLAM)
IISc Guidance, Control and Decision Systems Laboratory
IISc_Guidance,_Control_and_Decision_Systems_Laboratory
Detection of a virtual/augmented reality user's pose
systems is referred to as inside-out tracking, including simultaneous localization and mapping (SLAM) or visual-inertial odometry (VIO). An example of
3D_tracking
grasp and lift objects and walk by itself, avoiding obstacles through simultaneous localization and mapping. The robot accepts voice commands and can recognize
REEM
Radio transmitter to identify a location for navigation aid
with real-time locating systems (RTLS) like Syledis or simultaneous localization and mapping (SLAM). The most basic radio-navigational aid used in aviation
Radio_beacon
British-Australian engineer and academic
to deal with uncertainty and to localize themselves despite noisy sensor readings using simultaneous localization and mapping (SLAM). Durrant-Whyte was
Hugh_F._Durrant-Whyte
German roboticist
Laboratory for Robotics and Artificial Intelligence. He is known for his substantial contributions to the simultaneous localization and mapping (SLAM) problem
Wolfram_Burgard
Set of software frameworks for robot software development
non-ROS programs. slam toolbox provides full 2D simultaneous localization and mapping (SLAM) and localization system. gmapping provides a wrapper for OpenSlam's
Robot_Operating_System
x_{2})=(R_{1}R_{2},x_{1}+R_{1}x_{2},v_{1}+R_{1}v_{2})} The problem of simultaneous localization and mapping also fits the framework of invariant extended Kalman filtering
Invariant extended Kalman filter
Invariant_extended_Kalman_filter
Sparse extended information filter in robotics
information filter (SEIF) to solve the simultaneous localization and mapping by maintaining a posterior over the robot pose and the map. Similar to GraphSLAM,
SEIF_SLAM
Network of devices used to wirelessly locate objects inside a building
inertial measurement unit (IMU), monocular camera Simultaneous localization and mapping (SLAM) and Wi-Fi SLAM. Integration of data from various navigation
Indoor_positioning_system
This is a list of simultaneous localization and mapping (SLAM) methods. The KITTI Vision Benchmark Suite website has a more comprehensive list of Visual
List_of_SLAM_methods
Determining the position and orientation of a robot by analyzing associated camera images
"High Precision Relative Localization Using a Single Camera". Proceedings 2007 IEEE International Conference on Robotics and Automation. pp. 3908–3914
Visual_odometry
Aircraft which flies without a human pilot
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
Autonomous_aircraft
American roboticist and professor
Intelligence Laboratory (CSAIL), Leonard is a researcher in simultaneous localization and mapping, and was the team lead for MIT's team at the 2007 DARPA Urban
John_J._Leonard
Content-based image retrieval
discover the prevalence of the provided image in a dataset, and to discover manipulated versions and derivative works. A visual search engine is a search engine
Reverse_image_search
Computer recognition of visual text
document, a photo of a document, a scene photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an
Optical_character_recognition
Technology capable of matching a face from an image against a database of faces
size and photographic properties, such as illumination and grayscale. The purpose of the alignment process is to enable the accurate localization of facial
Facial_recognition_system
Artificial intelligence systems that perceive and act in the physical world
vision, sensor fusion and simultaneous localization and mapping may be used to identify objects, estimate their positions and construct a representation
Physical artificial intelligence
Physical_artificial_intelligence
Computer vision algorithm
branch and bound (JCBB) is an algorithm in computer vision and robotics commonly used for data association in simultaneous localization and mapping. JCBB
Joint compatibility branch and bound
Joint_compatibility_branch_and_bound
Statistical algorithm
These advantages have been demonstrated in the case of simultaneous localization and mapping (SLAM) involving over a million map features/beacons. It
Covariance_intersection
Process of recording the movement of objects or people
and silhouette), but with less marker.[citation needed] In robotics, some motion capture systems are based on simultaneous localization and mapping.
Motion_capture
robot problem. Exploration problem Simultaneous localization and mapping Negenborn, Rudy (2003). Robot localization and kalman filters (Master of Science
Wake-up_robot_problem
robotics researchers design and implement algorithms related to simultaneous localization and mapping (SLAM), computer vision, and motion planning (obstacle
Mobile Robot Programming Toolkit
Mobile_Robot_Programming_Toolkit
Topics referred to by the same term
Direct sparse odometry, a machine vision algorithm for simultaneous localization and mapping Dynamic shared object, in computing Drakensang Online, the
DSO
Type of diagnosis assisted by computers
R.; Owen, C. G. (2012-11-01). "An Approach to Localize the Retinal Blood Vessels Using Bit Planes and Centerline Detection". Comput. Methods Prog. Biomed
Computer-aided_diagnosis
In computer vision and computer graphics, 4D reconstruction is the process of capturing the shape and appearance of real objects along a temporal dimension
4D_reconstruction
Extraction of information from images via digital image processing techniques
process of cell differentiation.; it has also been widely used in the mapping community to generate land cover. When applied to earth images, OBIA is
Image_analysis
Computerized information extraction from images
multiple names: authors list (link) Murray, Don, and Cullen Jennings. "Stereo vision-based mapping and navigation for mobile robots Archived 2020-10-31
Computer_vision
Computational method for constructing 3D models
methods for 3D reconstruction from multiple images such as simultaneous localization and mapping (SLAM). Given a point p {\displaystyle \mathbf {p} } in
Inverse_depth_parametrization
Machine capable of carrying out a complex series of actions automatically
scanning lasers with simultaneous localization and mapping (SLAM) and use those maps to navigate in real time with other path planning and obstacle avoidance
Robot
different aspects of the simultaneous localization and mapping (SLAM) problem. He developed two successful mapping system: TreeMap and Multi-Level Relaxation
Udo_Frese
Compiling data to create a visual image
architecture Digital geological mapping Simultaneous localization and mapping Sound map Clark, Keith (1995). Analytic and Computer Cartography. Prentice
Computer_cartography
Locating a moving object by analyzing frames of a video
common target representation and localization algorithms: Kernel-based tracking (mean-shift tracking): an iterative localization procedure based on the maximization
Video_tracking
Method of spatial measurement using laser
precision. Lidar is also widely used in robotics for simultaneous localization and mapping and is well-integrated into robot simulators. Refer to the
Lidar
American roboticist
known for his work in advancing large-scale simultaneous localization and mapping, including visual mapping of the RMS Titanic. He established the Perceptual
Ryan_M._Eustice
Examples of this include gait analysis, sport replays, speed and acceleration calculations and, in the case of team or individual sports, task performance
Video_motion_analysis
Form of 3D computer interaction merging the real world with virtual objects
build mockups that combine physical and digital elements. With the use of simultaneous localization and mapping (SLAM), mockups can interact with the
Augmented_reality
Occupations in robotics and automation
research and development, engineering design, computer programming, systems integration, testing, manufacturing, integration, and maintenance of robots and robotic
List_of_robotics_occupations
Photogrammetry software
tools, and support for airborne LiDAR scans. RealityScan 2.1, released in November 2025, added support for SLAM (Simultaneous Localization and Mapping) scanner
RealityCapture
Interdisciplinary field
application, such as segmentation and group analysis. Mapping an image to an atlas usually involves registering the image and the atlas. This deformation can
Medical_image_computing
Investigating an unfamiliar area
journey more than destination Simultaneous localization and mapping – Computational navigational technique used by robots and autonomous vehicles United
Exploration
Computer technology
Pedestrian detection is an essential and significant task in any intelligent video surveillance system, as it provides the fundamental information for
Pedestrian_detection
Design, construction, use, and application of robots
the world, and how the two interact. Pattern recognition and computer vision can be used to track objects. Mapping, motion planning and other AI techniques
Robotics
2025 National Football League championship game
high skycam. The lower skycam employed the use of lidar and simultaneous localization and mapping (SLAM) technology to provide more precise tracking of
Super_Bowl_LIX
Technique used in videos to detect moment
Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by various
Moving_object_detection
Robot that assists humans
LiDAR sensors to map indoor routes and determine their position using SLAM (simultaneous localization and mapping). In factory settings, mobile robots
Service_robot
simply an overall state variable), one typically uses SLAM (simultaneous localization and mapping) techniques, which include the sequential estimator as a
Sequential_estimation
knowledge of the scanning instruments, and second, on sensor data overlap employing simultaneous localization and mapping (SLAM) methods. The term was coined
Intrinsic_localization
Process which assigns captioning to a digital image
(ECCV). Simultaneous Image Classification and Annotation Chong Wang and David Blei and Li Fei-Fei (2009). "Simultaneous Image Classification and Annotation"
Automatic_image_annotation
Taking measurements using photography
Sensing and Photogrammetry Society – British learned society Stereoplotter – Measuring elevation with stereo photographs Simultaneous localization and mapping –
Photogrammetry
Algorithm in computer image processing
proposed such as the project out inverse compositional (POIC) algorithm and the simultaneous inverse compositional (SIC) algorithm. Learning-based fitting methods
Landmark_detection
British statistician (c. 1701 – 1761)
probabilistic machine learning techniques, risk assessment, simultaneous localization and mapping, regularization or information theory. The rigorous axiomatic
Thomas_Bayes
Problem in computer vision and robotics
picking) is a core problem in computer vision and robotics. The goal is to have a robot with sensors and cameras attached to it pick-up known objects with
Bin_picking
Austrian mobile augmented reality technology provider
recognition and tracking, 3D model rendering, video overlay, location based AR. In 2017 Wikitude launched its SLAM technology (Simultaneous Localization And Mapping)
Wikitude
Israeli technology company
including object detection and tracking, free-space mapping, simultaneous localization and mapping (SLAM), and measurement of range and relative velocity. At
Arbe_Robotics
Robotics problem of locating the source of a chemical plume using mobile sensors
Anemotaxis Simultaneous localization and mapping Search algorithm Kowadlo, Gideon; Russell, R. Andrew (2008). "Robot odor localization: a taxonomy and survey"
Odor_source_localization
Coordination of multiple robots as a system
monitoring, simultaneous localization and mapping, convoy protection, and moving target localization and tracking. In 2023, University of Washington and Microsoft
Swarm_robotics
Use of various control systems for operating equipment
the vehicle, and coupled with more precise acceleration and braking, as well as fuel-efficient route mapping, can increase fuel economy and reduce emissions
Automation
3D reconstruction technique
after the release of NeRF, the addition of Fourier Feature Mapping improved training speed and image accuracy. Deep neural networks struggle to learn high
Neural_radiance_field
Overview of artificial intelligence for surveillance
well qualified as A.I. to compile and recognize patterns consisting of very large data sets requiring simultaneous calculations in multiple remote viewed
Artificial intelligence for video surveillance
Artificial_intelligence_for_video_surveillance
Algorithmic processing of digitally-represented images
taking into account the position of the Sun and the environment of the Moon. The impact of the successful mapping of the Moon's surface map by the computer
Digital_image_processing
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024. Dan, T. (2025). Generation and Synthesis of Video from Static Images for
View_synthesis
Feature detection algorithm in computer vision
Image stitching Scale space Scale space implementation Simultaneous localization and mapping Structure from motion Lowe, David G. (1999). "Object recognition
Scale-invariant feature transform
Scale-invariant_feature_transform
Curated e-commerce marketplace
outlets reported that Gadget Flow enabled Apple's ARKit and simultaneous localization and mapping technology to show products in augmented reality. In October
Gadget_Flow
Approach to create a short video summary of a long video
which objects and activities that originally occurred in different times are displayed simultaneously. The process begins by detecting and tracking objects
Video_synopsis
optimized. Favaro, Paolo, and Stefano Soatto. "A geometric approach to shape from defocus." IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape_from_focus
American research scientist
problem and simultaneous localization and mapping are also used in rover and autonomous vehicle applications. Uhlmann recorded and released a series of albums
Jeffrey_Uhlmann
Italian computer scientist
learning and robotics. He co-developed optimal algorithms for structure from motion (SFM, or visual SLAM, simultaneous localization and mapping, in robotics;
Stefano_Soatto
Special case of swarm robotics
alternative to probabilistic reasoning for solving the simultaneous localization and mapping problem. Researchers have also developed a theoretical foundation
Ant_robotics
Camera that can see in all directions
frequently used for visual odometry and to solve simultaneous localization and mapping (SLAM) problems visually. Due to its ability to capture a 360-degree
Omnidirectional_camera
Probabilistic problem-solving algorithm
filter or particle filter that forms the heart of the SLAM (simultaneous localization and mapping) algorithm. In telecommunications, when planning a wireless
Monte_Carlo_method
matching in simultaneous localization and mapping (SLAM) and relative position tracking, the algorithm was extended to 3D point clouds and has wide applications
Normal distributions transform
Normal_distributions_transform
Algorithm that estimates unknowns from a series of measurements over time
Sensorless control of AC motor variable-frequency drives Simultaneous localization and mapping Speech enhancement Structural health monitoring Visual odometry
Kalman_filter
Technique in photogrammetry and computer vision
Sparse matrix Collinearity equation Structure from motion Simultaneous localization and mapping B. Triggs; P. McLauchlan; R. Hartley; A. Fitzgibbon (1999)
Bundle_adjustment
Measuring device on physical interaction
spanning collision avoidance and manipulation.[citation needed] Some methods for simultaneous localization and mapping are based on tactile sensors.
Tactile_sensor
a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur, noise and camera mis-focus. Image
Image restoration by artificial intelligence
Image_restoration_by_artificial_intelligence
Creation of a 3D model from a set of images
the point at infinity in the motion direction, and one constraint on the affine structure. By mapping the projective reconstruction to one that satisfies
3D reconstruction from multiple images
3D_reconstruction_from_multiple_images
Indian-American academic (born 1960)
separates navigation into geometric map construction through simultaneous localization and mapping (SLAM) followed by path planning, by demonstrating that
Jitendra_Malik
Topics referred to by the same term
Explorer Slamdancing, a style of dance Simultaneous localization and mapping, a navigation technique used by robots and autonomous vehicles SLAM project, a
Slam
Detecting small objects in digital images
various techniques are employed to detect small objects in digital images and videos. "Small objects" are objects having a small pixel footprint in the
Small_object_detection
The correspondence problem, as the basis for calculating optical flow and stereo matching, is a fundamental problem in image processing. It refers to
Correspondence_problem
Use of a robot to maximize the knowledge over a particular area
search and rescue, and abandoned mines mapping. Current state of the art system include advanced techniques on active localization, simultaneous localization
Exploration_problem
outside Korea. The Roboking navigates by performing SLAM (simultaneous localization and mapping) to build a map of its environment using ceiling images
LG_Roboking
subtraction algorithm which has been presented at the IEEE ICASSP 2009 conference and was refined in later publications. More precisely, it is a software module
ViBe
Extraction of 3D data from digital images
contour maps or even geometry extraction for 3D building mapping, photogrammetric satellite mapping, or calculation of 3D heliographical information such
Computer_stereo_vision
Chinese multi-purpose mobile app
in smartphone-based AR apps. They were also developing a simultaneous localization and mapping technology, which would help calculate the position of virtual
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