Wildfires represent an important natural risk causing economic losses, human death and important environmental damage. In recent years, we witness an increase in fire intensity and frequency. Research has been conducted towards the development of dedicated solutions for wildland and forest fire assistance and fighting. Systems were proposed for the remote detection and tracking of fires. These systems have shown improvements in the area of efficient data collection and fire characterization within small scale environments. However, wildfires cover large areas making some of the proposed ground-based systems unsuitable for optimal coverage. To tackle this limitation, Unmanned Aerial Systems (UAS) were proposed. UAS have proven to be useful due to their maneuverability, allowing for the implementation of remote sensing, allocation strategies and task planning. They can provide a low-cost alternative for the prevention, detection and real-time support of firefighting. In this paper we review previous work related to the use of UAS in wildfires. Onboard sensor instruments, fire perception algorithms and coordination strategies are considered. In addition, we present some of the recent frameworks proposing the use of both aerial vehicles and Unmanned Ground Vehicles (UV) for a more efficient wildland firefighting strategy at a larger scale.
翻译:野火是造成经济损失、人命死亡和重大环境破坏的重要自然风险。近年来,我们看到火灾强度和频率增加。开展了研究,为荒地和森林火灾援助和战斗制定专门的解决方案。提出了远程探测和跟踪火灾的系统。这些系统表明在小规模环境中高效数据收集和火灾定性方面有所改进。然而,野火覆盖了大片地区,使得一些拟议的地面系统不适于最佳覆盖。为了应对这一限制,提出了无人驾驶航空系统(UAS)。无人驾驶航空系统(UAS)已证明是有用的,因为它们具有可操作性,可以实施遥感、分配战略和任务规划。它们可以为预防、探测和实时支持消防提供低成本的替代方法。本文我们审查了与野火中使用无人驾驶系统有关的以往工作。在飞机传感器上,考虑了火灾感知算法和协调战略。此外,我们介绍了最近提出的一些框架,其中提议使用航空车辆和无人驾驶地面车辆(UV),以大规模地进行更有效的野地消防战略。