Unmanned Aerial Vehicles (UAVs) also known as Remotely Piloted Vehicle (RPV) which can operate without human operator, plays important role in both civilian and military purposes. [3][8]Weather reconnaissance, search and rescue assisting operations in sea and mountains, aerial photographing and mapping, fire detection and traffic control are examples of usage fields. [1] Path Planning, crucial phase for navigation process, is about to determining optimal or near optimal path between destinations with fulfilling constraints such as hostile threats. [2] Depending on the degree of difficulty of the task, operations such as path planning should be fulfilled without human support. [1] The autonomy of such use is advantageous in situations that require quick decisions. And success of path planning heavily relies on selected algorithm. [4] Measure of success can be categorized into two sections: feasibility which considers to safely moving objects to target and optimality which is about to finding optimal solution. When a task difficult to accomplish by a single UAV or it is cheaper, easier or faster than there may be a need would arise to use multiple UAVs to fulfill task [8]. To solve some problems multiple UAVs path planning may be came into as a constraint. [8] Search and rescue operations are examples of multiple UAVs usage areas. There are different types of path planning architectures. It can be centralized or distributed. In centralized systems; a universal path planer
In the recent past, UAVs were most often associated with the military, where they were used initially for anti-aircraft target practice, intelligence gathering and then, more controversially, as weapons platforms. Drones are now also used in a wide range of civilian roles ranging from search and rescue, surveillance, traffic monitoring, weather monitoring and firefighting to personal drones and business drone-based photography, as well as videography, agriculture and as of recently, delivery services.
Public Intelligence, a non-profit that advocates for free access to information, released a map of military UAV activities in the United States on Tuesday. Assembled from military sources €" especially this little-known June 2011 Air Force presentation (.pdf) - it is arguably the most comprehensive map so far of the spread of the Pentagon 's unmanned fleet. What exact missions are performed at those locations, however, is not clear. Some bases might be used as remote cockpits to control the robotic aircraft
Unmanned aircraft systems (UAS) have become a quickly growing part of the aviation community over the last five to ten years. More and more of these aircraft are flying in the National Airspace System (NAS) with each passing year, without any set rules governing their operation. With the growing population of UAS in the NAS, for military, civil, and commercial use, the need for regulation is becoming increasingly obvious. How to regulate this type of aircraft is no simple task. Taking into consideration the many factors of these aircraft such as size, purpose, who is using them, and location of use, it is difficult to determine what regulation is required. That is the task that has been set before the Federal Aviation Administration (FAA). To determine what type of regulation is needed to integrate and ensure the safe operation of UAS in the NAS since the skies that they share are shared with manned aircraft.
However, the most promising technologic development is the use of unmanned aerial vehicles (UAV) that maintain the safety of our human sources while obtaining remote insights imperative to the overall safety of our nation.
In the present day, many companies have developed tons of drone models ranging in different sizes, lengths, and power usage. The two most used drones for attack are the MQ-1 Predator and the MQ-9 Reaper, and are looked up to for their ability to hover thousands of feet off the ground and above their target for hours with high-resolution surveillance. The
Currently the majority of the UAVs operated by the United States are military assets, and as such are subject to policies, requirements and regulations of the military. These safety requirements will be briefly discussed. As unmanned systems are integrated into national airspace they will be operated in increasing numbers by civil operators, for this reason we will also look at civil safety requirements. UAS will also present some unique situations which have up to this point not been experienced; this will require new areas to be incorporated into the aviation industrial safety arena to ensure our current level of safety is not degraded through their inclusion. This paper will investigate aviation industrial safety as it applies specifically to
Under those circumstances, the quick and sustainable situational awareness ability of the border agency is vital to successfully carrying out their patrol mission. In many cases, the agency’s ability is significantly enhanced using the BSS, which primarily depends on the use of modern technologies. There are two types of the BSS: 1) fixed BSS such as fixed towers, aerostats and remote surveillance video cameras, and 2) mobile BSS such as truck-mounted video units, aircraft and agent portable surveillance units. With these enhanced surveillance assets, the situational awareness
Incidents with driverless cars over the last few years prove that AI navigation has a way to go. On top of which, the flight aspect makes drone navigation even more complex. Everything from power lines and tree branches to birds will be obstacles the drone must deal with in real time.
It is not widely known that the UAV ideology began long before the GWOT, but in the past two decades the UAV has become more of a reality with widespread uses. “In February 2001, the first hellfire missile was tested from a predator UAV” (Callam, 2010 para. 7). As everyone who is old enough can remember that later in 2001 the terror attacks on September 11, 2001 jolted the U.S. into the GWOT. The demand for unmanned systems skyrocketed because of the challenging battlefields that U.S. forces found themselves fighting in. Through the advancement of the GWOT over the past decade and a half the UAV ideology has thrived and demonstrated its roll in the military fighting force through surveillance and reconnaissance, attack missions, and through cargo transportation. Although the attack roll of the UAV has been widely publicized, scrutinized and is the face of modern warfare, as we now know it today, UAVs have shown a promising niche in the civilian realm as well. As reported by uasvision.com (2013) the U.S. Marine Corp has been utilizing unmanned K-MAX helicopters in Afghanistan since early 2012 to deliver external cargo loads up to 4,500 pounds to their remote operating bases and since the program began the two K-MAX helicopters have delivered 3.2 million pounds of cargo (p.1). This type of technology enables the military to eliminate many hazards and unnecessary risks of resupply by removing ground convoy operations as well as aerial resupply with piloted
Planning, Scheduling and Controlling are three important functions of management. Planning involves the formulation of objectives and goals that are subsequently translated into
Abstract— The development of unmanned aerial vehicles (UAV) technology has increased at an incredible rate in recent years. The market currently includes many different varieties and classes of UAVs, but none currently offer long range beyond line of sight flight over cellular networks. The only existing networks currently utilized for long-range flight are i-Fi networks. However, flying over Wi-Fi has range limitations that restrict the full use of the UAVs. Therefore, the goal of this project is to design a UAV control system using existing cellular networks as the primary mode for communication. In order to accomplish this objective, an Android OS based application that is capable of sending and receiving signals between two Android smartphones will be designed. One of the phones will be on the UAV itself and the other in the hand of the pilot. Through these devices, the user will be able to control the UAV while also receiving critical information from the drone— such as Global Positioning System (GPS) location, live video feed, system statuses, and flight diagnostics from the UAV. A hardware interfacing circuit will be designed to interpret the control signals from the phone and pass them to the UAV for flight control. Additionally, a crash avoidance algorithm incorporating the position of other flying UAVs will be integrated into the system. This will provide a platform to reduce the number of user based crashes as well as reducing the risk of damaging a UAV.
A 2D path planner is used for the path planning and it determines the length and width of the search space. The path planner also shows the location of the known obstacles with some marking. Start and end point are also
PRM works to guide the mobile robot to reach the target with obstacle avoidance. This paper suggests path planning based on a probabilistic way Roadmap (PRM) for an autonmous robot path in a known environment. To simulate and compare the robot motion path with other studies curriculum was
This module is very useful to know routes between any two stations and also know shortest path among the routes, and also gives graphical representation of the corresponding routes
The first fissure in the Indian approach to UAVs is that all possible concerns have not been identified with care and rationality. The DGCA guidelines have evidently taken a very airspace-centric view, with little acceptance of the reality that there is still a wide road for present consumer UAV technology to cross to compete with manned aircraft for high-altitude airspace. The guidelines also overtly put a ceiling on UAVs from operating in controlled airspaces but in all other respects regulate them with the primary intent of avoiding collisions. In doing so, the guidelines lose sight of the fact that in low-altitude spaces; the odds of divergence are actually a little on the higher side between landowners and UAV operators.