Unsupervised place recognition with deep embedding learning over radar videos

Unsupervised place recognition with deep embedding learning over radar videos

We learn, in an unsupervised way, an embedding from sequences of radar images that is suitable for solving place recognition problem using complex radar data. We experiment on 280 km of data and show performance exceeding state-of-the-art supervised approaches, localising correctly 98.38 % of the ti...

Bibliográfalaš dieđut
Váldodahkkit:	Gadd, M, De Martini, D, Newman, P
Materiálatiipa:	Conference item
Giella:	English
Almmustuhtton:	IEEE 2021

Geahča maid

Contrastive learning for unsupervised radar place recognition
Dahkki: Gadd, M, et al.
Almmustuhtton: (2022)

Look around you: sequence-based radar place recognition with learned rotational invariance
Dahkki: Gadd, M, et al.
Almmustuhtton: (2020)

Open-RadVLAD: fast and robust radar place recognition
Dahkki: Gadd, M, et al.
Almmustuhtton: (2024)

Off the radar: uncertainty-aware radar place recognition with introspective querying and map maintenance
Dahkki: Yuan, J, et al.
Almmustuhtton: (2023)

Kidnapped radar: topological radar localisation using rotationally-invariant metric learning
Dahkki: Gadd, M, et al.
Almmustuhtton: (2020)

VDNA-PR: using general dataset representations for robust sequential visual place recognition
Dahkki: Ramtoula, B, et al.
Almmustuhtton: (2024)

kRadar++: coarse-to-fine FMCW scanning radar localisation
Dahkki: De Martini, D, et al.
Almmustuhtton: (2020)

BoxGraph: semantic place recognition and pose estimation from 3D LiDAR
Dahkki: Pramatarov, G, et al.
Almmustuhtton: (2021)

kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation
Dahkki: Daniele De Martini, et al.
Almmustuhtton: (2020-10-01)

Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia
Dahkki: Shehroz S. Khan, et al.
Almmustuhtton: (2022-01-01)

Get to the point: learning lidar place recognition and metric localisation using overhead imagery
Dahkki: Tang, TY, et al.
Almmustuhtton: (2021)

Unsupervised Deep Learning for Distributed Service Function Chain Embedding
Dahkki: Panteleimon Rodis, et al.
Almmustuhtton: (2023-01-01)

RSS-Net: weakly-supervised multi-class semantic segmentation with FMCW radar
Dahkki: Kaul, P, et al.
Almmustuhtton: (2021)

What could go wrong? Introspective radar odometry in challenging environments
Dahkki: Aldera, R, et al.
Almmustuhtton: (2019)

Representation Learning for Place Recognition Using MIMO Radar
Dahkki: Prashant Kumar Rai, et al.
Almmustuhtton: (2025-01-01)

On the road: route proposal from radar self-supervised by fuzzy LiDAR traversability
Dahkki: Broome, M, et al.
Almmustuhtton: (2020)

Fast radar motion estimation with a learnt focus of attention using weak supervision
Dahkki: Aldera, R, et al.
Almmustuhtton: (2019)

What goes around: leveraging a constant-curvature motion constraint in radar odometry
Dahkki: Aldera, R, et al.
Almmustuhtton: (2022)

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
Dahkki: Lotter, William, et al.
Almmustuhtton: (2017)

Video anomaly detection using unsupervised deep learning methods
Dahkki: Yan, Mengjia
Almmustuhtton: (2018)

Unsupervised Video Summarization Based on Deep Reinforcement Learning with Interpolation
Dahkki: Ui Nyoung Yoon, et al.
Almmustuhtton: (2023-03-01)

Radar-to-Lidar: Heterogeneous Place Recognition via Joint Learning
Dahkki: Huan Yin, et al.
Almmustuhtton: (2021-05-01)

Keep off the grass: permissible driving routes from radar with weak audio supervision
Dahkki: Williams, D, et al.
Almmustuhtton: (2020)

Unsupervised spatially embedded deep representation of spatial transcriptomics
Dahkki: Hang Xu, et al.
Almmustuhtton: (2024-01-01)

On the Road: Route Proposal from Radar Self-Supervised by Fuzzy LiDAR Traversability
Dahkki: Michael Broome, et al.
Almmustuhtton: (2020-12-01)

Fast-MbyM: leveraging translational invariance of the fourier transform for efficient and accurate radar odometry
Dahkki: Weston, R, et al.
Almmustuhtton: (2022)

Principal Tensor Embedding for Unsupervised Tensor Learning
Dahkki: Claudio Turchetti, et al.
Almmustuhtton: (2020-01-01)

Embedded Deep Learning for Ship Detection and Recognition
Dahkki: Hongwei Zhao, et al.
Almmustuhtton: (2019-02-01)

Self-supervised Lidar place recognition in overhead imagery using unpaired data
Dahkki: Tang, TY, et al.
Almmustuhtton: (2023)

Multi-Aircraft Formation Recognition Method of Over-the-Horizon Radar Based on Deep Transfer Learning
Dahkki: Futai Liang, et al.
Almmustuhtton: (2022-01-01)

Unsupervised place recognition for assistive mobile robots based on local feature descriptions.
Dahkki: Tang, Sai Hong, et al.
Almmustuhtton: (2011)

Speedup robust features based unsupervised place recognition for assistive mobile robot
Dahkki: Karasfi, Babak, et al.
Almmustuhtton: (2011)

Unsupervised and online place recognition for mobile robot based on local features description
Dahkki: Tang, Sai Hong, et al.
Almmustuhtton: (2013)

Improved Unsupervised Deep Boltzmann Learning Approach for Accurate Hand Vein Recognition
Dahkki: Rana Nour, et al.
Almmustuhtton: (2024-01-01)

Unsupervised learning of object landmarks by factorized spatial embeddings
Dahkki: Thewlis, J, et al.
Almmustuhtton: (2017)

Unsupervised online multitask learning of behavioral sentence embeddings
Dahkki: Shao-Yen Tseng, et al.
Almmustuhtton: (2019-06-01)

Unsupervised Learning of Paragraph Embeddings for Context-Aware Recommendation
Dahkki: Jin Xie, et al.
Almmustuhtton: (2019-01-01)

Quantum device fine-tuning using unsupervised embedding learning
Dahkki: N M van Esbroeck, et al.
Almmustuhtton: (2020-01-01)

An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos
Dahkki: B. Ravi Kiran, et al.
Almmustuhtton: (2018-02-01)

Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding
Dahkki: Yiğit Uğur, et al.
Almmustuhtton: (2020-02-01)