[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4225":3,"related-4225":73},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"primary_topic":9,"secondary_topics":21,"classification":22,"search_phrases":45,"slug":46,"view_count":15,"doi":47,"paper":48,"created_at":72},4225,"METHODOLOGY OF RESOURCE-EFFICIENT INTELLIGENT VISUAL NAVIGATION AND POSITIONING OF AUTONOMOUS AERIAL PLATFORMS","https:\u002F\u002Fdoi.org\u002F10.20998\u002F2522-9052.2026.4.08","Subject of research: Intelligent visual navigation and positioning processes for autonomous aerial platforms under conditions of uncertainty and limited computational resources of onboard systems. The purpose of the study: development of a methodology for resource-efficient intelligent visual navigation and positioning that ensures a coherent integration of mathematical models, algorithmic structures, and resource constraints within a unified approach. Research methods: computer vision methods, intelligent video data processing algorithms, mathematical modeling of visual localization processes, methods for the adaptive generation of algorithmic compositions, as well as simulation and experimental verification on embedded computing platforms. Results: A generalized methodology is proposed, based on the principles of systemic consistency of models and algorithms, adaptive accounting for uncertainty in video data, and the intelligent formation of resource-efficient algorithmic compositions. A mathematical model has been developed that formalizes the navigation process as an optimization problem of a generalized quality functional, considering constraints on resources, reliability, and adaptability. To demonstrate the practical implementation of the methodology, a heterogeneous ensemble tracking system with a voting and correction mechanism was proposed, which confirmed an increase in the stability and efficiency of video data processing under resource-constrained conditions.","研究对象：不确定条件下及机载系统计算资源受限时，自主空中平台的智能视觉导航与定位过程。研究目的：开发一种资源高效的智能视觉导航与定位方法，确保在统一框架内实现数学模型、算法结构与资源约束的协调集成。研究方法：计算机视觉方法、智能视频数据处理算法、视觉定位过程的数学建模、算法组合的自适应生成方法，以及在嵌入式计算平台上的仿真与实验验证。研究结果：提出了一种广义方法，其基础是模型与算法的系统一致性原则、视频数据不确定性的自适应考量，以及资源高效算法组合的智能构建。建立了数学模型，将导航过程形式化为广义质量泛函的优化问题，并考虑资源、可靠性与自适应性的约束。为展示该方法的实际实现，提出了一种具有投票与校正机制的异构集成跟踪系统，证实了在资源受限条件下视频数据处理稳定性与效率的提升。",null,"Advanced Information Systems","2026-10-02T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该论文研究自主飞行平台的视觉导航与定位方法，属通用无人机\u002F计算机视觉领域，未涉及三农、农业信息化或智慧农业应用场景，相关性不达标。",[19],{"name":10,"url":6},[12],[],{"status":23,"locked":14,"version":24,"method":25,"evidence":26},"needs_review","2026-10-22.2","rules",{"candidates":27,"agricultural_evidence":14,"reason":44},[28,37],{"code":29,"score":30,"supported":31,"title":32,"abstract":33,"tags":36},"I2",6,true,[],[34,35],"计算机视觉","computer vision",[],{"code":38,"score":39,"supported":31,"title":40,"abstract":41,"tags":43},"I7",3,[],[42],"研究方法",[],"农业相关性需要复核",[],"METHODOLOGYOFRESOURCE-EFFICIENTINTELLIGE-4225","10.20998\u002F2522-9052.2026.4.08",{"doi":47,"openalex_id":49,"authors":50,"venue":10,"cited_by_count":15,"oa_url":63,"card":64,"direction":70,"ingested_from":71},"W7216206751",[51,53,56,58,61],{"name":52,"orcid":9},"Kostiantyn Dergachov",{"name":54,"orcid":55},"Eugene Ovdiyuk","https:\u002F\u002Forcid.org\u002F0009-0008-7996-3729",{"name":57,"orcid":9},"Andrii Kyselev",{"name":59,"orcid":60},"Anatolii Yaremenko","https:\u002F\u002Forcid.org\u002F0009-0003-8784-8863",{"name":62,"orcid":9},"Oleg Cherniavskiy","https:\u002F\u002Fais.khpi.edu.ua\u002Farticle\u002Fdownload\u002F372725\u002F356285",{"tldr":65,"method":66,"finding":67,"direction":68,"opportunity":69},"提出资源高效智能视觉导航定位方法，统一模型、算法与资源约束。","计算机视觉、自适应算法组合、数学建模与嵌入式平台验证。","异构集成跟踪系统提升资源受限下视频处理的稳定性与效率。","农业人工智能与决策模型","可迁移至农业无人机视觉导航，研究资源受限下的鲁棒定位与边缘计算优化。","智慧农业 \u002F 农业物联网","openalex","2026-10-05T23:30:14.513479Z",{"total":15,"page":74,"page_size":74,"items":75},1,[]]