从光子到物理：自主室内无人机与客观属性评估的未来
From Photons to Physics: Autonomous Indoor Drones and the Future of Objective Property Assessment
AI总结：
本文综述了自主室内无人机结合物理感知技术，将财产评估从主观视觉检查转变为客观定量测量，涵盖平台架构、先进传感、主动重建及与BIM和UAD等标准集成等关键领域。
摘要：
自主室内无人机与物理感知传感技术的融合，有望将财产评估从主观视觉检查转变为客观、定量的测量。本综述全面考察了支撑这一范式转变的技术基础，涵盖四个关键领域：（1）针对室内导航优化的平台架构，其中重量限制推动了异构计算、抗碰撞设计和分层控制系统的创新；（2）超越人类视觉的先进传感模态，包括用于材料识别的高光谱成像、用于表面表征的偏振传感，以及利用超构光子学实现大幅小型化的计算成像；（3）通过主动重建算法实现的智能自主性，配备3D高斯泼溅的无人机在电池约束内做出关于视点选择的战略决策，以最大化信息增益；（4）与现有财产工作流程的集成路径，包括建筑信息模型（BIM）系统和行业标准如统一评估数据集（UAD）3.6。
英文摘要：
The convergence of autonomous indoor drones with physics-aware sensing technologies promises to transform property assessment from subjective visual inspection to objective, quantitative measurement. This comprehensive review examines the technical foundations enabling this paradigm shift across four critical domains: (1) platform architectures optimized for indoor navigation, where weight constraints drive innovations in heterogeneous computing, collision-tolerant design, and hierarchical control systems; (2) advanced sensing modalities that extend perception beyond human vision, including hyperspectral imaging for material identification, polarimetric sensing for surface characterization, and computational imaging with metaphotonics enabling radical miniaturization; (3) intelligent autonomy through active reconstruction algorithms, where drones equipped with 3D Gaussian Splatting make strategic decisions about viewpoint selection to maximize information gain within battery constraints; and (4) integration pathways with existing property workflows, including Building Information Modeling (BIM) systems and industry standards like Uniform Appraisal Dataset (UAD) 3.6.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
