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   Articles with "loop detection" as a keyword



Addressing the challenges of loop detection in agricultural environments

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recommendations! Published in 2024 at "Journal of Field Robotics"

DOI: 10.1002/rob.22414

Abstract: While visual Simultaneous Localization and Mapping systems are well studied and achieve impressive results in indoor and urban settings, natural, outdoor, and open‐field environments are much less explored and still present relevant research challenges. Visual… read more here.

Keywords: detection; loop detection; addressing challenges; challenges loop ... See more keywords

Bionic SLAM based on MEMS pose measurement module and RTAB-Map closed loop detection algorithm

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recommendations! Published in 2017 at "Cluster Computing"

DOI: 10.1007/s10586-017-1246-0

Abstract: In the complex indoor scene, the RatSLAM, a rodent model navigation algorithm, will suffer a performance reduction due to light changes or other factors. Based on this the RTAB-Map closed loop detection strategy is introduced… read more here.

Keywords: algorithm; map; loop detection; closed loop ... See more keywords

Visual Loop Detection in Underwater Robotics: an Unsupervised Deep Learning Approach

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recommendations! Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.1476

Abstract: This paper presents a novel Deep Neural Network aimed at fast and robust visual loop detection targeted to underwater images. In order to help the proposed network to learn the features that define loop closings,… read more here.

Keywords: loop detection; detection underwater; robotics; visual loop ... See more keywords

Adaptive Global Graph Optimization for LiDAR-Inertial SLAM

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recommendations! Published in 2024 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2024.3460413

Abstract: A complete SLAM system comprises a front-end odometry module and a back-end optimization module. The front-end utilizes sensor data (such as from cameras or LiDAR) to estimate the robot's pose and construct a map of… read more here.

Keywords: graph optimization; back end; slam; loop detection ... See more keywords