AeroSat Vision Lab Pioneering AI and Satellite Innovation

Projects

「國家科學及技術委員會全球資訊網」補助計畫一覽表

NSTC Subsidy Program List

Fiscal Year Discipline Expertise Plan Name Title Applied Subsidy (NT$)
114 (In Processing) 航太系統與應用 Orbit-AI: 區域感知與情境自適應壓縮系統 計畫主持人 2,159,000
114 (In Processing) 立方衛星關鍵技術研發計畫 用於遠端目標監視與追蹤的人工智慧賦能通訊酬載(1/4) 共同主持人 5,000,000
114 (In Processing) 地球科學應用 SAR衛星成像整合軟體應用加值資料應用關鍵技術研究–SAR成像與光學影像異質融合技術及應用於碳儲量變化之驗證(1/3) 共同主持人 650,000
113 (In Processing) 航太系統與應用 基於罐頭衛星 (CanSAT) 平台以邊緣運算的半監督學習模型(Semi Supervised Learning Model)為重建部分雲層遮蔽災害物件區域之開發 計畫主持人 850,000
108 (Closed) 圖形辨識 2019年系統科學與工程國際會議(ICSSE) 計畫主持人 25,000
Development of a Semi-Supervised Learning Model for Disaster Object Reconstruction in Partially Cloud-Covered Areas Using Edge Computing on a CanSAT Platform
Development of a Semi-Supervised Learning Model for Disaster Object Reconstruction in Partially Cloud-Covered Areas Using Edge Computing on a CanSAT Platform

This research aims to develop a semi-supervised learning model that reconstructs disaster-affected areas obscured by cloud cover. By integrating this model into edge computing devices onboard satellites, the project seeks to enhance real-time disaster detection and prediction capabilities.

Enhancing Real-Time Maritime Object Tracking with Satellite-Based Edge AI and Deep Reinforcement Learning
Enhancing Real-Time Maritime Object Tracking with Satellite-Based Edge AI and Deep Reinforcement Learning

1. Implement Edge AI on satellites to process remote sensing data, enabling real-time detection and tracking of maritime activities in the Taiwan Strait. 2. Create an integrated communication network using LEO satellites and UAVs/Ships to optimize data rates and ensure reliable data transmission.