Yu Xiang Tan
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    • Map-Fusion
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    • MERLION: Marine ExploRation with Language guIded Online iNformative Visual Sampling and Enhancement
    • Robust Vehicle Localization and Tracking in Rain Using Street Maps
    • WaveDiff: Underwater Visual Data Enhancement with Wavelet-Accelerated Diffusion
    • Online Informative Sampling Using Semantic Features in Underwater Environments
    • Evaluating Visual Odometry Methods for Autonomous Driving in Rain
    • Localization with Anticipation for Autonomous Urban Driving in Rain
    • Point-of-Interest (POI) Data Validation Methods: An Urban Case Study
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Map-Fusion

Sep 4, 2024 · 1 min read
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Map-Fusion is a sensor fusion approach to localizing in rain using visual data, intermittent gps data and map information from a crowdsourced map.

Last updated on Sep 4, 2024
Sensor Fusion Adverse Weather Visual Odometry
Yu Xiang Tan
Authors
Yu Xiang Tan
Computer Vision Research Engineer
← MERLION May 22, 2025
SON-IS Feb 9, 2024 →

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