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 …
Semantics for robotic mapping, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
Mapillary street-level sequences: A dataset for lifelong place recognition
Lifelong place recognition is an essential and challenging task in computer vision with vast
applications in robust localization and efficient large-scale 3D reconstruction. Progress is …
applications in robust localization and efficient large-scale 3D reconstruction. Progress is …
Seqnet: Learning descriptors for sequence-based hierarchical place recognition
Visual Place Recognition (VPR) is the task of matching current visual imagery from a camera
to images stored in a reference map of the environment. While initial VPR systems used …
to images stored in a reference map of the environment. While initial VPR systems used …
Place recognition survey: An update on deep learning approaches
Autonomous Vehicles (AV) are becoming more capable of navigating in complex
environments with dynamic and changing conditions. A key component that enables these …
environments with dynamic and changing conditions. A key component that enables these …
Semantic histogram based graph matching for real-time multi-robot global localization in large scale environment
The core problem of visual multi-robot simultaneous localization and mapping (MR-SLAM) is
how to efficiently and accurately perform multi-robot global localization (MR-GL). The …
how to efficiently and accurately perform multi-robot global localization (MR-GL). The …
Semantic–geometric visual place recognition: a new perspective for reconciling opposing views
S Garg, N Suenderhauf… - The International Journal …, 2022 - journals.sagepub.com
Human drivers are capable of recognizing places from a previous journey even when
viewing them from the opposite direction during the return trip under radically different …
viewing them from the opposite direction during the return trip under radically different …
Event-based visual place recognition with ensembles of temporal windows
Event cameras are bio-inspired sensors capable of providing a continuous stream of events
with low latency, and high dynamic range. As a single event only carries limited information …
with low latency, and high dynamic range. As a single event only carries limited information …
Unsupervised monocular depth estimation for night-time images using adversarial domain feature adaptation
In this paper, we look into the problem of estimating per-pixel depth maps from
unconstrained RGB monocular night-time images which is a difficult task that has not been …
unconstrained RGB monocular night-time images which is a difficult task that has not been …
Delta descriptors: Change-based place representation for robust visual localization
Visual place recognition is challenging because there are so many factors that can cause
the appearance of a place to change, from day-night cycles to seasonal change to …
the appearance of a place to change, from day-night cycles to seasonal change to …