Flight path optimization based on obstacles and weather updates

Flight path is one of the key factors in efficient flight operation. There are several factors that can influence effective flight path planning in term of cost, safety factor and time. Pre-planned flight path might need re-planning based on updated obstacle, threat or weather information. In this work, we have introduced some techniques for optimal path planning in three dimensional partial cooperative spaces by combining the concept of global and local path planning to find optimal path with- physical obstacles, weather condition, artificial threats and no fly zone handling using artificial intelligence and knowledge based decision making.