Path Planning for UAV using Sniff-Dog-Algorithm
Ashish Bhatt, Arnab Maity, Kaushik Das · 2018
A new method based on the sniffing behaviour of dog, named as Sniff-Dog Algorithm (SDA), is proposed for path planning of Unmanned Aerial Vehicle (UAV). The objective is to generate an path while considering obstacle avoidance as the constraints. In this proposed SDA, the final destination is considered as a fragrance source, and start point is considered as a dog (which is a UAV here). First, the dog (UAV) measures the intensity of the fragrance all around its position. Next, it moves in the direction, where the intensity of fragrance particles is maximum. By following the increasing intensity of fragrance particles, the dog (UAV) finally converges to its destination. The simulation results demonstrate the efficiency of the proposed SDA.