Simultaneous localization, mapping, and path planning for unmanned vehicle using optimal control
Among the huge number of functionalities that are required for autonomous navigation, the most important are localization, mapping, and path planning.
Demim Fethi +3 more
doaj +2 more sources
Simultaneous localization and mapping is a crucial problem for mobile robots, which estimates the surrounding environment (the map) and, at the same time, computes the robot location in it.
Hong Liu, Zhi Wang, Pengjin Chen
doaj +2 more sources
Simultaneous localization and mapping: part I
T Bailey, H Durrant-Whyte
exaly +2 more sources
Self localization and mapping using optical and thermal imagery [PDF]
Given a mobile robot starting from an unknown position in an unknown environment, with the task of explores the surroundings, it has to be able to build an environmental map and localize itself inside that map.
Magnabosco, Marina
core +7 more sources
Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems [PDF]
Collaborative Simultaneous Localization And Mapping (C-SLAM) is a vital component for successful multi-robot operations in environments without an external positioning system, such as indoors, underground or underwater.
Pierre-Yves Lajoie, G. Beltrame
semanticscholar +1 more source
Review of simultaneous localization and mapping (SLAM) for construction robotics applications
Yong K Cho
exaly +2 more sources
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers [PDF]
Active simultaneous localization and mapping (SLAM) is the problem of planning and controlling the motion of a robot to build the most accurate and complete model of the surrounding environment.
Julio A. Placed +6 more
semanticscholar +1 more source
Survey of simultaneous localization and mapping based on environmental semantic information
The simultaneous localization and mapping (SLAM) technique is an important research direction in robotics. Although the traditional SLAM has reached a high level of real-time performance, major shortcomings still remain in its positioning accuracy and ...
Xiao-qian LI +4 more
doaj +1 more source
Photo-SLAM: Real-Time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras [PDF]
The integration of neural rendering and the SLAM system recently showed promising results in joint localization and photorealistic view reconstruction. However, existing methods, fully relying on implicit representations, are so resource-hungry that they
Huajian Huang +3 more
semanticscholar +1 more source
The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection [PDF]
Where am I? This is one of the most critical questions that any intelligent system should answer to decide whether it navigates to a previously visited area.
Konstantinos A. Tsintotas +2 more
semanticscholar +1 more source

