Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …
systems, which must deal with the twin problems of appearance and viewpoint change in an …
The revisiting problem in simultaneous localization and map**: A survey on visual loop closure detection
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
Deep visual geo-localization benchmark
In this paper, we propose a new open-source benchmarking framework for Visual Geo-
localization (VG) that allows to build, train, and test a wide range of commonly used …
localization (VG) that allows to build, train, and test a wide range of commonly used …
Vpr-bench: An open-source visual place recognition evaluation framework with quantifiable viewpoint and appearance change
Visual place recognition (VPR) is the process of recognising a previously visited place using
visual information, often under varying appearance conditions and viewpoint changes and …
visual information, often under varying appearance conditions and viewpoint changes and …
Bow3d: Bag of words for real-time loop closing in 3d lidar slam
Loop closing is a fundamental part of simultaneous localization and map** (SLAM) for
autonomous mobile systems. In the field of visual SLAM, bag of words (BoW) has achieved …
autonomous mobile systems. In the field of visual SLAM, bag of words (BoW) has achieved …
Place recognition survey: An update on deep learning approaches
T Barros, R Pereira, L Garrote, C Premebida… - ar** (SLAM) in loop-closure detection and re-localization for long-term navigation. The …
A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation
Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …