Algorithm_MentalModel¶
This module represents the mental representation of the environment and its objects. It mainly contains the capability of mental extrapolation of surrounding objects (due to their type “AgentRepresentation”) along the perceived infrastructure. It uses the information either from the module information-acquisition or directly from the used sensor and is capable to store those information for an amount of time, if it isn’t updated in the next timestep, or to forget them.
Currently the extrapolation process of detected agents is calculated (in x and y direction) dynamically, based on the last detected dynamics. If there is an oncoming junction it will be calculated along the geometrical points of the perceived lanes along its route.
There is also the possiblity to misjudge the dynamic values of an agent based on the following parameters through the static system configuration with the corresponding Ids.
Parameter |
Type |
Unit |
Id |
Description |
Defaults to (range) |
---|---|---|---|---|---|
RelativePositionError |
Double |
29 |
Standard deviation of the relative deviation of the detected position of another agent related to the current velocity |
0 (0…0.2) |
|
RelativeVelocityError |
Double |
30 |
Standard deviation of the relative deviation of the detected velocity of another agent related to the current velocity. |
0 (0…0.2) |
|
RelativeAcclerationError |
Double |
31 |
Standard deviation of the relative deviation of the detected acceleration of another agent related to the current acceleration |
0 (0…0.2) |