论文标题
大象 - 人类冲突缓解：一种自治的无人机方法
Elephant-Human Conflict Mitigation: An Autonomous UAV Approach
论文作者
论文摘要
大象人冲突（EHC）是大多数非洲和亚洲国家的主要问题之一。随着人类过度利用自然资源的发展，大象的起居区继续下降。这导致大象入侵人类起居区，并更频繁地袭击农作物，每年耗资数百万美元。为了减轻EHC，在本文中，我们提出了一种原始解决方案，该解决方案由三个部分组成：一个紧凑的自定义低功率GPS标签，该标签安装在大象上，这是一个驻扎在人类起居区的接收器，该接收器检测到大象附近的农场附近的存在，以及一个自主无人驾驶的空中航空车辆（无与伦比），距离远离大气的人。通过利用比例综合衍生的控制器和机器学习算法，我们以32 fps的实时处理速度获得准确的跟踪轨迹。与缓解EHC的人类控制无人机相比，我们提出的自主系统可以节省超过68％的成本。
Elephant-human conflict (EHC) is one of the major problems in most African and Asian countries. As humans overutilize natural resources for their development, elephants' living area continues to decrease; this leads elephants to invade the human living area and raid crops more frequently, costing millions of dollars annually. To mitigate EHC, in this paper, we propose an original solution that comprises of three parts: a compact custom low-power GPS tag that is installed on the elephants, a receiver stationed in the human living area that detects the elephants' presence near a farm, and an autonomous unmanned aerial vehicle (UAV) system that tracks and herds the elephants away from the farms. By utilizing proportional-integral-derivative controller and machine learning algorithms, we obtain accurate tracking trajectories at a real-time processing speed of 32 FPS. Our proposed autonomous system can save over 68 % cost compared with human-controlled UAVs in mitigating EHC.
