To complete this exercise fill in the motion_model function which will involve:
For each x_{t}xt.:
Calculate the transition probability for each potential value x_{t-1}x t−1
Calculate the discrete motion model probability by multiplying the transition model probability by the belief state (prior) for x_{t-1}x t−1
Return total probability (sum) of each discrete probability
#two files helper.h and main.cpp the starter code of implementation of motion model algorithm