U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments

Authors

Gwangbin Bae (ORCID: https://orcid.org/0000-0003-4189-3493)
Aalok Patwardhan (ORCID: https://orcid.org/0000-0002-0701-3133)
Andrew J. Davison (ORCID: https://orcid.org/0000-0002-3784-099X)
C. Aubrey Rhodes

Institutions

Dyson (United Kingdom) (GB)
Imperial College London (GB)

Publication Details

Published: 2025-03-25
DOI: https://doi.org/10.1109/3dv66043.2025.00043
Citations: 1
Primary Topic: Time Series Analysis and Forecasting
Type: article
Field-Weighted Citation Impact: 1.49

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article

U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments

Gwangbin Bae, Aalok Patwardhan, Andrew J. Davison, C. Aubrey Rhodes

Mar 25, 2025

1 citations

Time Series Analysis and Forecasting

1.49

article

U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments

Gwangbin Bae, Aalok Patwardhan, Andrew J. Davison, C. Aubrey Rhodes

March 25, 2025article en

1 citations

Abstract

No abstract available for this paper.

Dyson (United Kingdom) (GB), Imperial College London (GB)

Climate action

Openalex Percentile: Top 15%

Time Series Analysis and Forecasting

1.49

DOI Source OpenAlex

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U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments — Gwangbin Bae, Aalok Patwardhan, et al. · (2025) | TGRS Research Map | TGRS