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
LDG‐CSLAM: Multi‐Robot Collaborative SLAM Based on Curve Analysis, Normal Distribution, and Factor Graph Optimization
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Field Robotics"
DOI: 10.1002/rob.22509
Abstract: In complex, enclosed environments where global positioning system (GPS) failures are common, multi‐robot collaborative simultaneous localization and mapping (CSLAM) faces several key challenges, including redundant communication data, low fusion efficiency, and poor system robustness. These… read more here.
Keywords: ldg cslam; multi robot; slam;
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 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
Geometric constraints and semantic optimization SLAM algorithm for dynamic scenarios
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-16714-x
Abstract: Traditional visual SLAM systems are predominantly designed for static environments, where they encounter challenges in dynamic scenes, leading to increased system errors and redundancy. This paper introduces a dynamic feature detection and filtering algorithm. Through… read more here.
Keywords: slam; semantic optimization; constraints semantic; geometric constraints ... See more keywords
Semantic SLAM system for mobile robots based on large visual model in complex environments
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-90340-5
Abstract: Simultaneous localization and mapping (SLAM) plays an important role in many fields, one of which is to help unmanned devices such as drones, self-driving cars and intelligent robots to achieve precise positioning and mapping. However,… read more here.
Keywords: slam; mobile robots; semantic slam; positioning mapping ... See more keywords