i haven't started yet with the software
the main problem is i don't really understand how to build a map with such method as himm, dst, etc.
in DST, does the belief function have to be calculate for all the grid from ultrasonic sensor?
in sonar sensor model, there are 3 region:
region I: grid probably occupied
region II: grid probably empty
region III: grid is unknown
in "Introduction to AI Robotics" by R.R.Murphy i found an example that the obstacle can be at region I or region II
so what does the function of region division?
does the range of each region is fixed? (ex: ultrasonic with 2.5 m range thus region I=0-1.5m; region II=1.5-2m; region III=2-2.5m)
i have a problem with this method of mapping...
hhmmmmmm,,,,are there any mapping method beside HIMM, Dempster-Shafer, Bayesian for ultrasonic sensor?
I'm looking for the simplest method for mapping the environment