论文标题
数据彗星：设计一种可视化工具，用于通过接地评估来分析自动驾驶汽车日志
Data Comets: Designing a Visualization Tool for Analyzing Autonomous Aerial Vehicle Logs with Grounded Evaluation
论文作者
论文摘要
自动无人机是硬件，软件和人类输入的复杂系统。了解这种复杂性是他们开发和运作的关键。信息可视化已经存在用于探索飞行日志的信息，但是当前全面的分析需要几种不同的自定义工具。这项设计研究有助于解决自动无人机开发商和操作员面临的疼痛点。我们做出贡献：用于扎根评估可视化开发的螺旋开发过程模型，重点是逐步扩大目标用户参与和完善用户目标；该模型的演示是开发部署和采用的可视化系统的一部分；针对开发人员和运营商的数据和任务抽象，对自动无人机日志进行飞行后分析；数据彗星的设计和实现，一种开源和基于Web的交互式可视化工具，用于合并时间，地理空间和多元数据的飞行后日志分析；以及基于野外用法的可视化系统和我们的抽象的总结性评估结果。本文和源代码的免费副本可在OSF.IO/H4P7G上找到
Autonomous unmanned aerial vehicles are complex systems of hardware, software, and human input. Understanding this complexity is key to their development and operation. Information visualizations already exist for exploring flight logs but comprehensive analyses currently require several disparate and custom tools. This design study helps address the pain points faced by autonomous unmanned aerial vehicle developers and operators. We contribute: a spiral development process model for grounded evaluation visualization development focused on progressively broadening target user involvement and refining user goals; a demonstration of the model as part of developing a deployed and adopted visualization system; a data and task abstraction for developers and operators performing post-flight analysis of autonomous unmanned aerial vehicle logs; the design and implementation of DATA COMETS, an open-source and web-based interactive visualization tool for post-flight log analysis incorporating temporal, geospatial, and multivariate data; and the results of a summative evaluation of the visualization system and our abstractions based on in-the-wild usage. A free copy of this paper and source code are available at osf.io/h4p7g
