DroneChase: A Mobile and Automated Cross-Modality System for Continuous Drone Tracking
DroneChase: A Mobile and Automated Cross-Modality System for Continuous Drone Tracking
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DOI：
10.1145/3597060.3597237
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发表时间：
2023-06
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影响因子：
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通讯作者：
Neel Vora;Yi Wu;Jian Liu;Phuc Nguyen
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作者：
Neel Vora;Yi Wu;Jian Liu;Phuc Nguyen
本文介绍了DroneChase，这是一种自动传感系统，该系统从附近的飞行无人机中捕获的声学和视觉信号，以在移动性设置下的视线和非视线条件下跟踪其轨迹。尽管无人机监视一直是一个积极的研究主题，但大多数现有的监视系统仅着眼于视线条件，并且在阻塞条件下的表现不佳。受到人类使用视觉和听觉信号将对象定位在环境中的能力的启发，我们开发了一个移动系统，将信息从多种模式集成到参考方案中，并执行实时无人机检测和轨迹监视。我们开发的系统由Raspberry Pi平台控制，从彼此距离5厘米的6个六角形通道和HD RGB摄像机的视频信号中收集了声学信号。监视系统被放置在移动的车辆中，即使无人机在灌木丛或树木后面飞行/悬停在无人机中。此外，系统的可移植性可以连续追逐无人机，即使在移动时，也可以进行不间断的监视和跟踪。此外，拟议的系统在日间和夜间条件下都可靠地执行。
This paper presents DroneChase, an automated sensing system that monitors acoustic and visual signals captured from a nearby flying drone to track its trajectory in both line-of-sight and non-line-of-sight conditions under mobility settings. Although drone monitoring has been an active research topic, most of the existing monitoring systems focus only on line-of-sight conditions and do not perform well under blockage conditions. Inspired by the human ability to localize objects in the environment using both visual and auditory signals, we develop a mobile system that integrates the information from multiple modalities into a reference scenario and performs real-time drone detection and trajectory monitoring. Our developed system, controlled by the Raspberry Pi platform, collects acoustic signals from 6 hexagonal channels placed 5 cm away from each other and video signals from an HD RGB camera. The monitoring system is placed in a moving vehicle and is able to track the drone even when it is flying/hovering behind the bush or trees. Furthermore, the portability of the system enables continuous chasing of the drone, allowing for uninterrupted monitoring and tracking even while on the move. In addition, the proposed system performs reliably in both day and night conditions.