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Posted

It has to do with the "sensors" available to a given aircraft and how AI react via those sensors. All aircraft AI have "eye" sensors that determine what all they can see. Things like targets moving or shooting and the targeting systems/sensors on the aircraft determine how well AI can spot threats. An approximate ranking of quality of sensors for helicopters would be... Mi-8<Mi-24<Mi-28N.

 

Simply put, Mi-28 and Su-34 have FLIR. The other russian aircraft you tested do not.

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Posted

Just adding my observations to this thread.

 

I have been having a read through the sensor definition tables to get a better idea of the sensor capabilities of certain units.

 

What I have tested is the capabilities of the Predator and Reaper. In terms of sensors the most unique difference between the two is that the Reaper has a ground scanning radar that can detect vehicles. It can do this at a pretty decent range through thick (100% cover, 1000m high) and low (1000m) clouds. The FLIR and Optical sensors are useless in this situation.

 

The Reaper can also detect missile launches and take evasive maneuvers (not with great success) but it can confirm that a radar contact is a launcher (just before it gets shot down).

 

This is the radar sensor that the Reaper has but that Predator does not.

 

["RQ-1 Predator SAR"] =
{
type = RADAR_SS,
vehicles_detection = true,
RCS = 5,
RBM_detection_distance = 40000.0,
HRM_detection_distance = 28000.0,
scan_volume =
{
	azimuth = {-180.0, 180.0},
	elevation = {-90.0, 20.0}
},
max_measuring_distance = 100000.0,
scan_period = 5.0,
},

 

Curious to know what RCS, RBM, HRM are about.

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