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#localization

7 results
cs.IT2019

3-D Positioning and Environment Mapping for mmWave Communication Systems

Jie Yang, Shi Jin, Chao-Kai Wen +2

The paper develops a 3‑D joint positioning, velocity estimation, and environment mapping (SLAM) framework for millimeter‑wave cloud radio access networks, using hybrid delay‑angle…

#mmwave#localization#slam#wireless networks
cond-mat.mes-hall2019

Surface states in defect-free polyatomic lattices described by a tight-binding model

Ricardo A. Pinto

The paper investigates how surface-localized states can arise in finite, defect‑free polyatomic lattices using a tight‑binding model, showing that a minimum number of atoms per uni…

#surface states#tight-binding model#polyatomic lattices#localization
hep-th2019

3d $\mathcal{N}=2$ $\widehat{ADE}$ Chern-Simons Quivers

Dharmesh Jain, Augniva Ray

The paper analyzes 3d \(\mathcal{N}=2\) Chern‑Simons quiver gauge theories using supersymmetric localization, identifying a large class of quivers associated with affine \(\widehat…

#3d supersymmetric gauge theories#chern-simons theory#quiver gauge theories#localization
cs.RO2019

PROBE: Predictive Robust Estimation for Visual-Inertial Navigation

Valentin Peretroukhin, Lee Clement, Matthew Giamou +1

The paper introduces a method that learns to weight visual features based on their predicted impact on localization error, improving accuracy in visual‑inertial navigation systems.

#visual-inertial navigation#feature weighting#sensor fusion#machine learning
cs.CV2019

EMPNet: Neural Localisation and Mapping Using Embedded Memory Points

Gil Avraham, Yan Zuo, Thanuja Dharmasiri +1

The paper presents EMPNet, a neural network that stores rigidly aligned point embeddings from RGB-D observations in a memory module to jointly estimate an agent's pose and map its…

#visual slam#memory networks#point embeddings#rgb-d mapping
eess.IV2019

Improving localization-based approaches for breast cancer screening exam classification

Thibault Févry, Jason Phang, Nan Wu +4

The paper presents a deep convolutional neural network that uses localization to classify breast cancer screening exams, achieving an AUC of 0.919 and providing bounding‑box explan…

#breast cancer screening#deep learning#localization#classification
cs.NI2019

Localization in Ultra Narrow Band IoT Networks: Design Guidelines and Trade-Offs

Hazem Sallouha, Alessandro Chiumento, Sreeraj Rajendran +1

The paper proposes an RSSI‑based fingerprinting method that uses a few GPS‑enabled sensors to localize other devices in ultra‑narrow‑band IoT networks like Sigfox, achieving up to…

#localization#ultra narrow band#sigfox#rssi fingerprinting