Results 61 to 70 of about 1,468,959 (299)

Fusion of semantic and appearance features for loop‐closure detection in a dynamic environment

open access: yesElectronics Letters, 2021
Loop‐closure detection is important in large‐scale localisation system. However, it is still difficult in a dynamic environment. An online fast loop‐closure detection algorithm based on Deeplabv3 with MobileNetV2 (DpMn2) as network backbone and local ...
Yan Xu, Jiani Huang
doaj   +1 more source

Under vehicle perception for high level safety measures using a catadioptric camera system [PDF]

open access: yes, 2013
In recent years, under vehicle surveillance and the classification of the vehicles become an indispensable task that must be achieved for security measures in certain areas such as shopping centers, government buildings, army camps etc.
Sahin, Caner   +3 more
core   +1 more source

Robust Loop Closure Selection Based on Inter-Robot and Intra-Robot Consistency for Multi-Robot Map Fusion

open access: yesRemote Sensing, 2023
In multi-robot simultaneous localization and mapping (SLAM) systems, the system must create a consistent global map with multiple local maps and loop closures between robot poses.
Zhihong Chen   +4 more
doaj   +1 more source

Protein Loop Closure Using Orientational Restraints from NMR Data [PDF]

open access: yesProteins: Structure, Function, and Bioinformatics, 2011
AbstractProtein loops often play important roles in biological functions. Modeling loops accurately is crucial to determining the functional specificity of a protein. Despite the recent progress in loop prediction approaches, which led to a number of algorithms over the past decade, few rigorous algorithmic approaches exist to model protein loops using
Chittaranjan, Tripathy   +3 more
openaire   +2 more sources

Loop Closure Detection Based on Differentiable Manifold

open access: yesMobile Information Systems, 2022
Loop closure detection is an important part of SLAM (simultaneous location and mapping), which can effectively reduce the cumulative error of the system after long period of exploration. The existing loop closure detection methods are mainly to evenly distribute the accumulated error in the robot trajectory, but the motion error of the actual robot is ...
Tianzhen Dong   +5 more
openaire   +1 more source

LDSO: Direct Sparse Odometry with Loop Closure

open access: yes, 2018
In this paper we present an extension of Direct Sparse Odometry (DSO) to a monocular visual SLAM system with loop closure detection and pose-graph optimization (LDSO).
Cremers, Daniel   +3 more
core   +1 more source

LiDAR-IMU Tightly-Coupled SLAM Method Based on IEKF and Loop Closure Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Simultaneous Localization and Mapping (SLAM) technology based on LiDAR can achieve real-time robot positioning and establish environmental maps in unknown environments. LiDAR odometry can achieve accurate pose estimation in short distances or small-scale
Huimin Pan   +4 more
semanticscholar   +1 more source

Loop Closure Detection Based on Image Semantic Segmentation in Indoor Environment

open access: yesMathematical Problems in Engineering, 2022
When mobile robots run in indoor environment, a large number of similar images are easy to appear in the images collected, probably causing false-positive judgment in loop closure detection based on simultaneous localization and mapping (SLAM).
Jinming Li, Peng Wang, Cui Ni, Wen Rong
semanticscholar   +1 more source

Robust Photogeometric Localization over Time for Map-Centric Loop Closure

open access: yes, 2019
Map-centric SLAM is emerging as an alternative of conventional graph-based SLAM for its accuracy and efficiency in long-term mapping problems. However, in map-centric SLAM, the process of loop closure differs from that of conventional SLAM and the result
Fookes, Clinton   +5 more
core   +1 more source

Lazy localization using the Frozen-Time Smoother [PDF]

open access: yes, 2008
We present a new algorithm for solving the global localization problem called Frozen-Time Smoother (FTS). Time is 'frozen', in the sense that the belief always refers to the same time instant, instead of following a moving target, like Monte Carlo ...
Censi, A., Tipaldi, G. D.
core   +1 more source

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