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Sensors and Methods for Mobile Robot Positioning

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Chapter 8: Map-Based <strong>Positioning</strong> 205<br />

C<br />

C<br />

Acquiring, storing, <strong>and</strong> matching visual scenes is very expensive, both in computation time <strong>and</strong><br />

storage space.<br />

The algorithm is restricted to highly structured, orthogonal environments.<br />

Table 8.5a: Probabilities <strong>for</strong> each place using only vision.<br />

Stored Places<br />

A B C D E F G<br />

A 0.43 0.09 0.22 0.05 0.05 0.1 0.06<br />

B 0.05 0.52 0.21 0.06 0.05 0.05 0.05<br />

C 0.10 0.12 0.36 0.2 0.04 0.13 0.04<br />

D 0.14 0.05 0.24 0.43 0.05 0.04 0.05<br />

E 0.14 0.14 0.14 0.14 0.14 0.14 0.14<br />

F 0.14 0.14 0.14 0.16 0.14 0.14 0.14<br />

G 0.14 0.14 0.14 0.14 0.14 0.14 0.14<br />

Table 8.5b: Probabilities <strong>for</strong> each place using only sonar.<br />

Stored Places<br />

A B C D E F G<br />

A 0.82 0.04 0.04 0.04 0.04 0 0<br />

B 0.02 0.31 0.31 0.31 0.06 0 0<br />

C 0.02 0.31 0.31 0.31 0.06 0 0<br />

D 0.02 0.31 0.31 0.31 0.61 0 0<br />

E 0.04 0.12 0.12 0.12 0.61 0 0<br />

F 0 0 0 0 0 0.90 0.10<br />

G 0 0 0 0 0 0.10 0.90<br />

Table 8.5c: Combined probabilities (vision <strong>and</strong> sonar) <strong>for</strong> each place.<br />

Stored Places<br />

A B C D E F G<br />

A 0.95 0.01 0.02 0.01 0.01 0 0<br />

B 0 0.65 0.26 0.07 0.01 0 0<br />

C 0 0.17 0.52 0.29 0.01 0 0<br />

D 0.01 0.07 0.33 0.58 0.01 0 0<br />

E 0.04 0.12 0.12 0.12 0.61 0 0<br />

F 0 0 0 0 0 0.90 0.1<br />

G 0 0 0 0 0 0.09 0.91

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