Providing Situational Awareness in the Control of Unmanned Vehicles

Igonin, Dmitry; Kolganov, Pavel A.; Tiumentsev, Yury V.

doi:10.1007/978-3-030-60577-3_14

Cited by 3 publications

(5 citation statements)

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“…Generating situational awareness elements for the UAV control system is not an easy task. Recently, several attempts have been made to solve this problem with machine learning methods [31,[49][50][51][52][53]. In our opinion, machine learning techniques, including deep learning methods, are very promising tools for solving UAV situational awareness problems.…”

Section: Forming Elements Of Situational Awareness For Uavsmentioning

confidence: 99%

“…The task of analyzing and predicting the behavior of some object from R W is to reconstruct the functional dependence describing the obtained data (21), and then use it to predict behavior for p steps ahead. We considered a corresponding example of solving the problem of aircraft behavior analysis and prediction in [51]. This example uses synthetically generated trajectories obtained with the FlightGear Flight Simulator [94] for the Schleicher ASK 13 glider as the source dataset.…”

Section: An Example Of Solving the Problem Of Analyzing The Behavior Of A Dynamic Object In A Fragment Of Objective Realitymentioning

confidence: 99%

“…It shows the model errors in predicting by variables describing the trajectory motion of the tracked aircraft. A more detailed description of this experiment and its results are presented in our article [51].…”

Section: O N G Itmentioning

confidence: 99%

“…These results refer to the general theoretical issues of situational awareness formation and the application of relevant ideas and methods for solving problems related to various classes of control systems that include humans in their control loops. Specific classes of such systems include, but are not limited to, aircraft [4,5,24,25,[27][28][29][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51], ships [14,23], and ground vehicles [10,11,13,21,22]. In all these cases, the problem of situational awareness is interpreted as the need to provide system control processes with information that makes it possible to produce sufficiently effective decisions.…”

Section: Introductionmentioning

confidence: 99%

“…There have been very few papers on situational awareness for highly autonomous UAVs, as opposed to crewed aircraft and remotely piloted UAVs-see [34][35][36][39][40][41][42][43]47,49,[51][52][53]56]. They focus mainly on the formation of individual elements that make up situational awareness.…”

Section: Introductionmentioning

confidence: 99%

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Situational Awareness and Problems of Its Formation in the Tasks of UAV Behavior Control

2021

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Situational awareness formation is one of the most critical elements in solving the problem of UAV behavior control. It aims to provide information support for UAV behavior control according to its objectives and tasks to be completed. We consider the UAV to be a type of controlled dynamic system. The article shows the place of UAVs in the hierarchy of dynamic systems. We introduce the concepts of UAV behavior and activity and formulate requirements for algorithms for controlling UAV behavior. We propose the concept of situational awareness as applied to the problem of behavior control of highly autonomous UAVs (HA-UAVs) and analyze the levels and types of this situational awareness. We show the specifics of situational awareness formation for UAVs and analyze its differences from situational awareness for manned aviation and remotely piloted UAVs. We propose the concept of situational awareness as applied to the problem of UAV behavior control and analyze the levels and types of this situational awareness. We highlight and discuss in more detail two crucial elements of situational awareness for HA-UAVs. The first of them is related to the analysis and prediction of the behavior of objects in the vicinity of the HA-UAV. The general considerations involved in solving this problem, including the problem of analyzing the group behavior of such objects, are discussed. As an illustrative example, the solution to the problem of tracking an aircraft maneuvering in the vicinity of a HA-UAV is given. The second element of situational awareness is related to the processing of visual information, which is one of the primary sources of situational awareness formation required for the operation of the HA-UAV control system. As an example here, we consider solving the problem of semantic segmentation of images processed when selecting a landing site for the HA-UAV in unfamiliar terrain. Both of these problems are solved using machine learning methods and tools. In the field of situational awareness for HA-UAVs, there are several problems that need to be solved. We formulate some of these problems and briefly describe them.

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