用微型无人机自动完成室内案发现场的三类关键任务。
Nano Drone-based Indoor Crime Scene Analysis
- 设计微型无人机原型，实现窗口探查、证据采集与血迹分析
- 三项任务准确率分别达75%、85%、80%，完成最小化现场分析
- 为智能刑侦提供可落地的硬件+算法整合思路
机器人、人工智能（AI）和计算机视觉（CV）技术可用于犯罪现场分析（CSA），以保护生命、促进司法公正并威慑犯罪，但尚未系统梳理可自动化的任务。本文采用推测性原型方法：首先使用STAIR工具快速综述文献，识别出较少关注的任务，如通过窗户进入现场、地图构建/证据收集、血迹分析；其次，我们提出一种微型无人机原型，分别在三项任务中实现75%、85%、80%的性能，完成对室内案发现场的最小化分析。文中总结了实践经验，为后续研究提供指导。
原文摘要 · Abstract (English)
Technologies such as robotics, Artificial Intelligence (AI), and Computer Vision (CV) can be applied to crime scene analysis (CSA) to help protect lives, facilitate justice, and deter crime, but an overview of the tasks that can be automated has been lacking. Here we follow a speculative prototyping approach: First, the STAIR tool is used to rapidly review the literature and identify tasks that seem to have not received much attention, like accessing crime scenes through a window, mapping/gathering evidence, and analyzing blood smears. Secondly, we present a prototype of a small drone that implements these three tasks with 75%, 85%, and 80% performance, to perform a minimal analysis of an indoor crime scene. Lessons learned are reported, toward guiding next work.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。