EIL‐SLAM: Depth‐enhanced edge‐based infrared‐LiDAR SLAM
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22040
Abstract: Traditional simultaneous localization and mapping (SLAM) approaches that utilize visible cameras or light detection and rangings (LiDARs) frequently fail in dusty, low‐textured, or completely dark environments. To address this problem, this study proposes a novel… read more here.
Keywords: slam; lidar; infrared lidar; edge based ... See more keywords
DE‐SLAM: SLAM for highly dynamic environment
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22062
Abstract: Simultaneous localization and mapping (SLAM) is crucial for autonomous mobile robots. Most of the current SLAM systems are based on an assumption: the environment is static. However, the real environment is full of dynamic elements,… read more here.
Keywords: slam slam; highly dynamic; environment; slam ... See more keywords
Unsupervised learning to detect loops using deep neural networks for visual SLAM system
Sign Up to like & getrecommendations! Published in 2017 at "Autonomous Robots"
DOI: 10.1007/s10514-015-9516-2
Abstract: This paper is concerned of the loop closure detection problem for visual simultaneous localization and mapping systems. We propose a novel approach based on the stacked denoising auto-encoder (SDA), a multi-layer neural network that autonomously… read more here.
Keywords: visual slam; slam; unsupervised learning; loops using ... See more keywords
Slam algorithm for multi-robot communication in unknown environment based on particle filter
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03020-3
Abstract: To solve the SLAM (simultaneous localization and map building) of mobile robots, a multi-robot SLAM algorithm based on particle filter for communication in unknown environment is proposed. In the standard particle filter, the incremental map… read more here.
Keywords: multi robot; particle filter; algorithm; slam ... See more keywords
An Adaptive SVSF-SLAM Algorithm in Dynamic Environment for Cooperative Unmanned Vehicles
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.11.707
Abstract: Abstract The aim of this paper is to accomplish the Unmanned Ground Vehicle (UGV) full self-governance by developing tools that are able to give an accurate automatic localization in unknown environment. Many techniques have been… read more here.
Keywords: slam; adaptive svsf; svsf slam; dynamic environment ... See more keywords
Panoramic SLAM from a multiple fisheye camera rig
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2019.11.014
Abstract: This paper presents a feature-based simultaneous localization and mapping (SLAM) system for panoramic image sequences obtained from a multiple fisheye camera rig in a wide baseline mobile mapping system (MMS). First, the developed fisheye camera… read more here.
Keywords: slam; camera rig; multiple fisheye; camera ... See more keywords
Endoscope localization and gastrointestinal feature map construction based on monocular SLAM technology.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of infection and public health"
DOI: 10.1016/j.jiph.2019.06.028
Abstract: Aiming at the real intestinal environment, the commonly used feature extraction algorithms are compared and analyzed. The performances of SIFT, BRISK, ORB and FREAK are evaluated from three aspects: feature extraction time, correct matching rate… read more here.
Keywords: feature; slam; map; accuracy ... See more keywords
A multi-innovation with forgetting factor based EKF-SLAM method for mobile robots
Sign Up to like & getrecommendations! Published in 2020 at "Assembly Automation"
DOI: 10.1108/aa-01-2020-0002
Abstract: The purpose of this paper is to explore a multi-innovation with forgetting factor-based EKF-SLAM (FMI-EKF-SLAM) algorithm to solve the error increasing problem, caused by the Extended Kalman filtering (EKF) violating the local linear assumption in… read more here.
Keywords: multi innovation; forgetting factor; slam; ekf slam ... See more keywords
Multipath Assisted Positioning With Transmitter Visibility Information
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3017785
Abstract: In multipath assisted positioning, multipath components (MPCs) are regarded as line-of-sight (LoS) signals from virtual transmitters. Instead of trying to mitigate the influence of MPCs, the spatial information contained in MPCs is exploited for localization.… read more here.
Keywords: visibility; multipath assisted; assisted positioning; slam ... See more keywords
Real-Time Visual-Inertial Localization Using Semantic Segmentation Towards Dynamic Environments
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3018557
Abstract: Simultaneous localization and mapping(SLAM), focusing on addressing the joint estimation problem of self-localization and scene mapping, has been widely used in many applications such as mobile robot, drone, and augmented reality(AR). However, traditional state-of-the-art SLAM… read more here.
Keywords: system; time; semantic segmentation; slam ... See more keywords
Semantic SLAM Based on Improved DeepLabv3⁺ in Dynamic Scenarios
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3154086
Abstract: Simultaneous Localization and Mapping (SLAM) plays an irreplaceable role in the field of artificial intelligence. The traditional visual SLAM algorithm is stable assuming a static environment, but has lower robustness and accuracy in dynamic scenes,… read more here.
Keywords: improved deeplabv3; system; slam; geometry ... See more keywords