## 8 Conclusions  
The presented algorithms and applied augmented reality views deliver quantitative methods for combat entity evaluation to support decision-makers and individual soldiers in the development of their situational awareness. Such compositions of features incorporate understanding of the environment and the combat situation. The demonstrated characteristics of the mCOP application provide an information infrastructure for military and civilian crisis operation support delivered as a handheld tool integrated with a tactical network. The developed algorithms and software utilize mission-critical element rendering to present an updated image of surrounding units and combat elements. A designed novel approach to utilizing TARV has proven to be an efficient tool to visualize the operational picture and assist combat personnel during a mission by decreasing significantly the required time for topographical and tactical orientation: key combat (decision-maker) responsibilities. Augmented reality has been proven to be a key technological factor that constructs an operational view tailored to a commander's or soldier's needs. The fusion of GIS, tactical C4 ISR, and handheld sensor data provide new means for interpreting the surrounding environment and can increase the efficiency of performing complex tasks. The wireless integration of handhelds and AR headsets can provide even more immersive presentation for operators, simplifying threat evaluations in rapidly changing environments. The architecture of the mCOP environment has been iteratively verified and validated in several possible communication configurations utilizing WiFi-based tactical networks as well as GSM-LTE solutions. The application of a TARV-based view supplemented with potential calculations and threat-level estimations results in a decrease in tactics development delays, thus increasing decision-making efficiency (only in exercise scenarios). Tactical and topographical orientation, the key activities during combat, have been significantly shortened, delivering more accurate products. The results show that the time required to perform tasks decreased by ~46% and increased recognized asset reporting with location by ~76%. The trials involved tasks performed outdoors based on simulated data transmitted into the mCOP environment, where the operators (officer cadets) were required to perform a mission based on the projected  
Figure 13: Combat training usage of TARV in mCOP application during tactical and topographical orientation tasks. Trial tests of the application performed by officers and cadets, recorded using a set of handhelds in various environmental conditions. dynamically changed situation. Each mCOP operator was monitored by auditing an observer assisted with automatic time reporting for SA-related activity time measurement. The presented mechanisms, algorithms, and applications utilizing augmented reality views can be applied not only for military operations but most of all for crisis management and emergency response missions/actions. The presented capabilities and properties of the constructed software tools demonstrate the applicability of mobile software for operational forces but most of all for territorial defense formations. The mCOP platform utilizes an Android platform, and any commercially available smartphone can be prepared for its deployment after fulfilling all security requirements and configuration procedures. [PERSON] have been responsible for the overall design of the study and formulated research thesis and theme of the manuscript. [PERSON]. Is the architect of the mCOP and tCOP environments, [PERSON] developed the potential comparison method and components, [PERSON] contributed the algorithms for image reconnaissance and distance measurements. The experiments have been designed by [PERSON], [PERSON] and [PERSON], specific component related data has been processed by [PERSON] and [PERSON]. [PERSON] contributed to the overall text unification, synthesis and results analysis as well as final proofreading of the manuscript.