Acceleration-Aware Path Planning with Waypoints

In this article we demonstrate that acceleration and deceleration of direction-turning drones at waypoints have a significant influence to path planning which is important be considered for time-critical applications, such as drone-supported search rescue. We present new approach takes into account. It follows local gradient ascend strategy locally minimizes turns while maximizing probability accumulation. Our outperforms classic coverage-based algorithms, spiral- grid-search, well potential field methods consider distributions. apply method in the context autonomous rescue combination with novel synthetic aperture imaging technique, called Airborne Optical Sectioning (AOS), removes occlusion vegetation forest real-time.