论文标题
在动态场景中安全着陆无人机的实时启发式框架
Real-Time Heuristic Framework for Safe Landing of UAVs in Dynamic Scenarios
论文作者
论文摘要
我们生活的世界充满了技术,每天都有无人机的进步和使用有效地增加。由于许多应用程序方案,在某些任务中,无人机容易受到外部干扰的影响,例如地面站的连通性丧失,安全任务,安全问题和与交货相关的任务。因此,根据情况,这可能会影响运营并导致无人机的安全着陆。因此,本文提出了一种在动态环境中安全着陆的启发式方法。这种方法的目的是检测安全的潜在着陆区 - PLZ,并找出最适合降落的区域。最初,PLZ是通过通过Canny Edge算法处理图像来检测的,然后将直径估计用于每个区域,每个区域都具有最小的边缘。面积高于车辆清除率的斑点被标记为安全的PLZ。在该方法的第二阶段中,计算了向PLZ移动的动态障碍的速度,并考虑到达到区域的时间。计算无人机的ETA,并且在无人机的下降期间,执行动态障碍物。在现实世界环境中测试的方法显示了现有工作的更好结果。
The world we live in is full of technology and with each passing day the advancement and usage of UAVs increases efficiently. As a result of the many application scenarios, there are some missions where the UAVs are vulnerable to external disruptions, such as a ground station's loss of connectivity, security missions, safety concerns, and delivery-related missions. Therefore, depending on the scenario, this could affect the operations and result in the safe landing of UAVs. Hence, this paper presents a heuristic approach towards safe landing of multi-rotor UAVs in the dynamic environments. The aim of this approach is to detect safe potential landing zones - PLZ, and find out the best one to land in. The PLZ is initially, detected by processing an image through the canny edge algorithm, and then the diameter-area estimation is applied for each region with minimal edges. The spots that have a higher area than the vehicle's clearance are labeled as safe PLZ. Onto the second phase of this approach, the velocities of dynamic obstacles that are moving towards the PLZs are calculated and their time to reach the zones are taken into consideration. The ETA of the UAV is calculated and during the descending of UAV, the dynamic obstacle avoidance is executed. The approach tested on the real-world environments have shown better results from existing work.