The comfort zone of observation is commonly referred to as the color recognition zone, typically between 50 and 60\({}^{\circ}\) for an average person. For a good spatial orientation, an angle of 180-200\({}^{\circ}\) is desirable as it facilitates the easy creation of mental maps. [PERSON] et al. (1992) [32] addressed the problem of selecting the field of view (FOV) of cameras. They studied the effectiveness of vehicle control using cameras with a horizontal field of view of 29\({}^{\circ}\) (vertical FOV 22\({}^{\circ}\)), 55\({}^{\circ}\) (vertical FOV 43\({}^{\circ}\)), and 94\({}^{\circ}\) (vertical FOV 75\({}^{\circ}\)). The researchers fixed cameras over the rear of the vehicle to observe the horizon, a reference point on the strip, and the vehicle hood. The highest speeds and the best handling accuracy were obtained for a lens with a horizontal field of view of 55\({}^{\circ}\). Using a wider angle of view yielded slightly better results when avoiding obstacles. Significantly worse results were recorded in this case for the camera with the smallest field of view. In addition, the research has shown that it is advisable to ensure visibility of the vehicle's front edge. A long focal length lens with a narrow field of view failed to provide this visibility, significantly worsening the vehicle's surrounding awareness. [PERSON] and [PERSON] (2003) [33] obtained similar results. [PERSON] et al. (1997) [34] presented other studies on the influence of camera position on the efficiency of UGV control. The teleoperation system uses a camera with a horizontal field of view of 55\({}^{\circ}\) in three positions. The shortest driving times were provided by the 15\({}^{\circ}\) forward-inclined camera, which gives the best visibility of the vehicle's front and front-wheel surroundings. Similar results were achieved by [PERSON] and [PERSON] (1998) [35] while driving in rough terrain. The study was conducted on a teleoperated UGV equipped with three panoramic cameras with a horizontal FOV of 55\({}^{\circ}\) each. The image was displayed on three monitors with a total viewing angle of about 165\({}^{\circ}\). Wide panoramic field of view in path-following driving tasks was not very useful, but in open-ended navigational tasks, using waypoints and terrain recognition proved to be a significant factor in reducing error rate. [PERSON] et al. (1999) [36] also dealt with the problems of UGV teleoperations in the field. The research has shown that a system with a main front camera and additional cameras covering the vehicle sides and running gear is a recommended solution when overcoming obstacles because it allows for more precise control and reduces driver stress, as well as the necessary concentration of the driver. [PERSON] et al. (2004) [37] studied the impact of camera selection on the effectiveness of rescue robots' work. The robot's task was to move in a complex area without losing orientation and position awareness. They confirmed that to control the UGV efficiently, it is necessary to have a clear image of the surrounding area and obstacles close to the vehicle. Furthermore, studies have demonstrated the limitations of using fish-eye vision. Since it has a wide-angle FOV, which is good for obtaining the surrounding information around the robot, the deformation of perspective and limited resolution of the image enable it to recognize objects at a greater distance. This was confirmed by [PERSON] (1995) [30]. For this reason, it is not suitable for the search and detection mission. The works of [PERSON] et al. (2004) [38] and [PERSON] (2002) [39] confirm that a lack of situation awareness correlates with poor operator performance. The use of a single standard video camera with a relatively narrow FOV can lead to the phenomenon known as \"soda straw\" or \"keyhole effect\".