EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling
EOS-Bench：一个全面的地球观测卫星调度基准
机构 * School of Traffic ； Transportation Engineering, Central South University, Changsha 410083, China ； School of Engineering ； Materials Science, Queen Mary University of London, London E1 4NS, UK ； College of Automation, Central South University, Changsha, 410083, China ； Aerospace Engineering, University of Strathclyde, Glasgow G1 1XQ, UK ； Department of Computer Science, University of Exeter, Exeter EX4 4QJ, UK ； Department of Aerospace Engineering, Universidad de Sevilla, Camino de los Descubrimientos s.n., Sevilla, 41092, Spain ； Department of Electronics ； ERATOSTHENES Centre of Excellence, Limassol, 3012, Cyprus ； Department of Civil Engineering ； Geomatics, Cyprus University of Technology, Limassol, 3036, Cyprus ； Department of Computer Science ； Engineering, College of Engineering, Qatar University, Doha, 2713, Qatar ； Department of Aerospace Engineering, Korea Advanced Institute of Science ； School of Management, Hefei University of Technology, Hefei, 230009, China ； Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an 710071, China ； School of Astronautics, Beihang University, 102206 Beijing, China ； Advanced Space Technology Laboratory, College of Astronautics, Nanjing University of Aeronautics ； National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an, 710072, China ； State Key Laboratory of Information Engineering in Surveying, Mapping ； Remote Sensing, Wuhan University, Wuhan, 430079, China ； School of Computer Science, China University of Geosciences, Wuhan, 430074, China ； School of Information Science ； Technology, Dalian Maritime University, Dalian, 116026, China ； Department of Electrical \& Computer Engineering, University of Alberta, Edmonton, AB T6R 2V4, Canada ； Planetary Science, California Institute of Technology, CA, USA ； Department of Automation ； Systems Engineering, Federal University of Santa Catarina, Florianopolis, SC, Brazil ； School of Geography, Archaeology ； Environmental Studies, University of the Witwatersrand, Braamfontein, Johannesburg, South Africa
AI总结 本文提出EOS-Bench，通过整合高保真轨道动力学和平台约束，生成1390个场景和13900个基准实例，评估调度方法的系统性和可重复性，涵盖从小型验证案例到1000颗卫星和10000个请求的复杂问题。
