Recent developments and applications of simultaneous localization and mapping in agriculture
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22077
Abstract: Simultaneous Localization and Mapping (SLAM) is a process to use multiple sensors to position an unmanned mobile vehicle without previous knowledge of the environment, and meanwhile construct a map of this environment for the further… read more here.
Keywords: simultaneous localization; localization mapping; environment; developments applications ... See more keywords
Topological map‐based approach for localization and mapping memory optimization
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22140
Abstract: Robotics in agriculture faces several challenges, such as the unstructured characteristics of the environments, variability of luminosity conditions for perception systems, and vast field extensions. To implement autonomous navigation systems in these conditions, robots should… read more here.
Keywords: localization; localization mapping; topological map; memory ... See more keywords
Pose‐graph underwater simultaneous localization and mapping for autonomous monitoring and 3D reconstruction by means of optical and acoustic sensors
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Field Robotics"
DOI: 10.1002/rob.22375
Abstract: Modern mobile robots require precise and robust localization and navigation systems to achieve mission tasks correctly. In particular, in the underwater environment, where Global Navigation Satellite Systems cannot be exploited, the development of localization and… read more here.
Keywords: navigation; reconstruction; pose graph; localization mapping ... See more keywords
Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-017-1109-4
Abstract: This paper models the complex simultaneous localization and mapping (SLAM) problem through a very flexible Markov random field and then solves it by using the iterated conditional modes algorithm. Markovian models allow to incorporate: any… read more here.
Keywords: methodology; markov random; conditional modes; iterated conditional ... See more keywords
Unlocking robotic perception: comparison of deep learning methods for simultaneous localization and mapping and visual simultaneous localization and mapping in robot
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Intelligent Robotics and Applications"
DOI: 10.1007/s41315-025-00419-5
Abstract: Simultaneous Localization and Mapping (SLAM) and Visual SLAM are crucial technologies in robotics, allowing autonomous systems to navigate and comprehend their environment. Deep learning (DL) has become a powerful tool in driving progress in these… read more here.
Keywords: deep learning; localization mapping; robotics; simultaneous localization ... See more keywords
A review of LiDAR simultaneous localization and mapping techniques for multi-robot
Sign Up to like & getrecommendations! Published in 2025 at "Robotica"
DOI: 10.1017/s0263574725102178
Abstract: Abstract Simultaneous localization and mapping technology is the basis for multi-robot systems to complete navigation, path planning, and autonomous exploration in complex, dynamic, and Global Positioning System (GPS)-denied environments. This paper reviews the current status… read more here.
Keywords: multi robot; slam; lidar slam; localization mapping ... See more keywords
Laser-inertial tightly coupled SLAM system for indoor degraded environments
Sign Up to like & getrecommendations! Published in 2024 at "Sensor Review"
DOI: 10.1108/sr-07-2024-0615
Abstract: Purpose To address the issues of low localization and mapping accuracy, as well as map ghosting and drift, in indoor degraded environments using light detection and ranging-simultaneous localization and mapping (LiDAR SLAM), a real-time localization… read more here.
Keywords: odometry; graph optimization; system; tightly coupled ... See more keywords
Simultaneous Localization and Mapping for Inspection Robots in Water and Sewer Pipe Networks: A Review
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3115981
Abstract: At the present time, water and sewer pipe networks are predominantly inspected manually. In the near future, smart cities will perform intelligent autonomous monitoring of buried pipe networks, using teams of small robots. These robots,… read more here.
Keywords: water sewer; sewer pipe; pipe networks; pipe ... See more keywords
Guaranteed Performance Nonlinear Observer for Simultaneous Localization and Mapping
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3000266
Abstract: A geometric nonlinear observer algorithm for Simultaneous Localization and Mapping (SLAM) developed on the Lie group of $\mathbb {SLAM}_{n}(3)$ is proposed. The presented novel solution estimates the vehicle’s pose (i.e., attitude and position) with respect… read more here.
Keywords: nonlinear observer; simultaneous localization; localization mapping; guaranteed performance ... See more keywords
Visual Localization and Mapping Leveraging the Constraints of Local Ground Manifolds
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3147256
Abstract: In order to improve the accuracy of simultaneous localization and mapping problem, plane motion assumption is often used for advanced ground vehicle SLAM system. However, such an assumption is not always suitable to complex and… read more here.
Keywords: ground manifold; local ground; ground manifolds; localization mapping ... See more keywords
Blind as a Bat: Audible Echolocation on Small Robots
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3194669
Abstract: For safe and efficient operation, mobile robots need to perceive their environment, and in particular, perform tasks such as obstacle detection, localization, and mapping. Although robots are often equipped with microphones and speakers, the audio… read more here.
Keywords: localization; localization mapping; small robots; echolocation ... See more keywords