TL;DR: It is found that small fixed-wing UASs are most commonly used because these aircraft provide a viable compromise between price, logistics and flight endurance, and one of the main factors impeding the use of U ASs is legislation.
Abstract: Regular monitoring of animal populations must be established to ensure wildlife protection, especially when pressure on animals is high. The recent development of drones or unmanned aircraft systems (UASs) opens new opportunities. UASs have several advantages, including providing data at high spatial and temporal resolution, providing systematic, permanent data, having low operational costs and being low-risk for the operators. However, UASs have some constraints, such as short flight endurance.
We reviewed studies in which wildlife populations were monitored by using drones, described accomplishments to date and evaluated the range of possibilities UASs offer to provide new perspectives in future research.
We focused on four main topics: 1) the available systems and sensors; 2) the types of survey plan and detection possibilities; 3) contributions towards anti-poaching surveillance; and 4) legislation and ethics.
We found that small fixed-wing UASs are most commonly used because these aircraft provide a viable compromise between price, logistics and flight endurance. The sensors are typically electro-optic or infrared cameras, but there is the potential to develop and test new sensors.
Despite various flight plan possibilities, mostly classical line transects have been employed, and it would be of great interest to test new methods to adapt to the limitations of UASs. Detection of many species is possible, but statistical approaches are unavailable if valid inventories of large mammals are the purpose.
Contributions of UASs to anti-poaching surveillance are not yet well documented in the scientific literature, but initial studies indicate that this approach could make important contributions to conservation in the next few years.
Finally, we conclude that one of the main factors impeding the use of UASs is legislation. Restrictions in the use of airspace prevent researchers from testing all possibilities, and adaptations to the relevant legislation will be necessary in future.
TL;DR: In this paper, two architectures for UAVs and a method for executing a mission plan are provided, which includes a flight command and mission execution (FCME) component making strategic decisions, a flight technical control manager (FTCM) making tactical decisions and a vehicle management system (VMS) providing navigational support.
Abstract: Two architectures for unmanned aerial vehicles (UAVs) and a method for executing a mission plan are provided One architecture for a UAV includes a flight command and mission execution (FCME) component making strategic decisions, a flight technical control manager (FTCM) making tactical decisions and a vehicle management system (VMS) providing navigational support The FCME and FTCM execute on one processor and the VMS executes on a separate processor The second architecture includes redundant processors for executing the FCME and FTCM as well as redundant processors for executing the VMS The UAV executes a mission plan, which may include flight plan(s), communication plan(s), weapons plan(s), sensor plan(s), and/or contingent flight plan(s) The UAV may control various optical sensors, training sensors, and lights as well
TL;DR: In this article, a UAV is configured with at least one flight corridor and flight path, and a first UAV flight plan is calculated, and during operation of the first flight plan, the UAV visually detects an obstacle, and calculates a second flight plan to avoid the obstacle.
Abstract: Systems and methods for unmanned aerial vehicle (UAV) navigation are presented. In a preferred embodiment, a UAV is configured with at least one flight corridor and flight path, and a first UAV flight plan is calculated. During operation of the first UAV flight plan, the UAV visually detects an obstacle, and calculates a second UAV flight plan to avoid the obstacle. Furthermore, during operation of either the first or the second UAV flight plan, the UAV acoustically detects an unknown aircraft, and calculates a third UAV flight plan to avoid the unknown aircraft. Additionally, the UAV may calculate a new flight plan based on other input, such as information received from a ground control station.
TL;DR: In this article, a flight planning system for obtaining flight plans and/or weather information is provided with a portable computer having a display unit, keyboard, memory, built in modem and a built in disk drive that can be connected via telephone lines to a ground based data center.
Abstract: A flight planning system for obtaining flight plans and/or weather information is provided with a portable computer having a display unit, keyboard, memory, built in modem and a built in disk drive that can be connected via telephone lines to a ground based data center. The basic flight planning data and/or weather request data is input in response to menu driven prompts and reviewed on the display by the pilot. The portable computer is then connected to the data center which generates a series of optimized flight plans and provides desired weather information. After the desired flight plan and/or weather information has been selected by the pilot, it is loaded onto a floppy disk in the disk drive. The aircraft is provided with a data transfer unit which accepts the floppy disk and downloads the flight plan and requested weather information into the onboard computerized navigation system. In addition the aircraft is provided with a VHF radio system for inflight communication with the data center so that the flight plan and/or weather information can be updated.
TL;DR: In this article, a system for flock-based control of a plurality of UAVs is described, which includes a ground station system with a processor executing a fleet manager module and with memory storing a different flight plan for each UAV.
Abstract: A system for flock-based control of a plurality of unmanned aerial vehicles (UAVs). The system includes UAVs each including a processor executing a local control module and memory accessible by the processor for use by the local control module. The system includes a ground station system with a processor executing a fleet manager module and with memory storing a different flight plan for each of the UAVs. The flight plans are stored on the UAVs, and, during flight operations, each of the local control modules independently controls the corresponding UAV to execute its flight plan without ongoing control from the fleet manager module. The fleet manager module is operable to initiate flight operations by concurrently triggering initiation of the flight plans by the multiple UAVs. Further, the local control modules monitor front and back and communication channels and, when a channel is lost, operate the UAV in a safe mode.