Abstract
Using a game engine, we have developed a virtual environment which models important aspects of critical incident scenarios. We focused on modelling phenomena relating to the identification and gathering of key forensic evidence, in order to develop and test a system which can handle chemical, biological, radiological/nuclear or explosive (CBRNe) events autonomously. This allows us to build and validate AI-based technologies, which can be trained and tested in our custom virtual environment before being deployed in real-world scenarios. We have used our virtual scenario to rapidly prototype a system which can use simulated Remote Aerial Vehicles (RAVs) to gather images from the environment for the purpose of mapping. Our environment provides us with an effective medium through which we can develop and test various AI methodologies for critical incident scene assessment, in a safe and controlled manner
Abstract (translated)
使用游戏引擎，我们开发了一个虚拟环境，可以模拟关键事件场景的重要方面。我们专注于模拟与识别和收集关键法证证据有关的现象，以开发和测试能够自主处理化学，生物，放射/核或爆炸（CBRNe）事件的系统。这使我们能够构建和验证基于AI的技术，这些技术可以在我们的自定义虚拟环境中进行培训和测试，然后再部署到实际场景中。我们使用我们的虚拟场景快速建立了一个系统的原型，该系统可以使用模拟远程飞行器（RAV）从环境中收集图像以进行映射。我们的环境为我们提供了一种有效的媒介，通过该媒介，我们可以安全可控的方式开发和测试关键事件现场评估的各种AI方法
URL
https://arxiv.org/abs/1808.10784
