probability.localization

Authors:

Aayush Shah (aayushsh@usc.edu)

Receive input from IMU - A 3d vector. (x,y,z) which is an absolute vector of the distance traveled from the calibrated point (0,0,0)

For now write a function to generate mock data

Receive computer vision data - Computer Vision Data: 3d Vector that includes the angles of the object’s center from the AUV, the distance and probability, e.g. (x,y,z), d, p

For now write a function to generate mock data

Code logic here

Output - Relative location of the Observed Object, in the format of Angles, distance and probability (x,y,z), d, p