Newsgroups: comp.robotics
Path: brunix!sgiblab!spool.mu.edu!agate!library.ucla.edu!news.mic.ucla.edu!magnesium.club.cc.cmu.edu!honeydew.srv.cs.cmu.edu!crabapple.srv.cs.cmu.edu!cantaloupe.srv.cs.cmu.edu!B.GP.CS.CMU.EDU!deadslug
From: deadslug+@CS.CMU.EDU (Richard Voyles)
Subject: Re: Global Positioning Question
Message-ID: <CEKvLD.Duo.2@cs.cmu.edu>
Sender: news@cs.cmu.edu (Usenet News System)
Nntp-Posting-Host: b.gp.cs.cmu.edu
Organization: Carnegie Mellon University
References: <9310071926.AA05273@suntan.eng.usf.edu> <dashCEJq3F.MGu@netcom.com> <1993Oct7.224507.10289@news.cs.brandeis.edu> <1993Oct8.025543.10977@alw.nih.gov>
Date: Fri, 8 Oct 1993 12:19:58 GMT
Lines: 16

|> can the starting point be reset.  Some experimental systems for cars
|> use inertial guidence systems to locate the car on a city map.  Maybe this
|> is the best technology for you.
|> 
|> --

These systems depend on an "accurate" map known a priori to navigate.
They generally use a kalman filter to update the inertial position of the
car based on the known topology of where you are driving. (i.e. if the
inertial sensors say you're in the middle of a block but you turn right,
the kalman filter updates your position to the closest intersection --
simplified description, of course)

An "accurate" map is a stringent requirement for an indoor environment
designed for humans.

