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Loop closure detection is the process of detecting whether an agent has returned to a previously visited location.

( Image credit: Backtracking Regression Forests for Accurate Camera Relocalization )

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Greatest papers with code

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

12 Mar 2020wh200720041/iscloam

Loop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM).

LOOP CLOSURE DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING

DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features

12 Aug 2020ivipsourcecode/dxslam

For visual SLAM algorithms, though the theoretical framework has been well established for most aspects, feature extraction and association is still empirically designed in most cases, and can be vulnerable in complex environments.

LOOP CLOSURE DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING

Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs

29 Sep 2020AnshanTJU/FILD

In recent years, methods concerning the place recognition task have been extensively examined from the robotics community within the scope of simultaneous localization and mapping applications.

LOOP CLOSURE DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING

Fast and Incremental Loop Closure Detection Using Proximity Graphs

25 Nov 2019AnshanTJU/FILD

Visual loop closure detection, which can be considered as an image retrieval task, is an important problem in SLAM (Simultaneous Localization and Mapping) systems.

IMAGE RETRIEVAL LOOP CLOSURE DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING

Kernel learning for visual perception

6 Dec 2019wang-chen/thesis_template_ntu

To this end, the novel kernel learning methods for several basic visual perceptual tasks, including object tracking, localization, mapping, and image recognition, are proposed and demonstrated both theoretically and practically.

ACTIVITY RECOGNITION LOOP CLOSURE DETECTION OBJECT DETECTION OPTICAL FLOW ESTIMATION ROBOT NAVIGATION SIMULTANEOUS LOCALIZATION AND MAPPING TRANSFER LEARNING VISUAL OBJECT TRACKING VISUAL TRACKING

NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation

23 Mar 2021dachengxiaocheng/NDT-Transformer

Benefiting from the NDT representation and NDT-Transformer network, the learned global descriptors are enriched with both geometrical and contextual information.

AUTONOMOUS DRIVING LOOP CLOSURE DETECTION POINT CLOUD RETRIEVAL

Backtracking Regression Forests for Accurate Camera Relocalization

22 Oct 2017LiliMeng/btrf

Camera relocalization plays a vital role in many robotics and computer vision tasks, such as global localization, recovery from tracking failure, and loop closure detection.

CAMERA RELOCALIZATION LOOP CLOSURE DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING

Sem-LSD: A Learning-based Semantic Line Segment Detector

14 Sep 2019SunLoveSheep/Sem-LSD

Combined with high-level semantics, Sem-LS is more robust under cluttered environment compared with existing line-shaped representations.

LINE SEGMENT DETECTION LOOP CLOSURE DETECTION

Place Recognition in Forests with Urquhart Tessellations

23 Sep 2020gnardari/urquhart

In this letter, we present a novel descriptor based on Urquhart tessellations derived from the position of trees in a forest.

LOOP CLOSURE DETECTION