player_localize_hypoth Struct Reference

Hypothesis format. More...

#include <player_interfaces.h>

Collaboration diagram for player_localize_hypoth:

Detailed Description

Hypothesis format.

Since the robot pose may be ambiguous (i.e., the robot may at any of a number of widely spaced locations), the localize interface is capable of returning more that one hypothesis.

Public Attributes
player_pose2d_t	mean
	The mean value of the pose estimate (m, m, rad). More...
double	cov [6]
	The covariance matrix pose estimate (lower half, symmetric matrix) (cov(xx) in m$^2$, cov(yy) in $^2$, cov(aa) in rad$^2$, cov(xy), cov(ya), cov(xa) ). More...
double	alpha
	The weight coefficient for linear combination (alpha)

Member Data Documentation

cov

double player_localize_hypoth::cov[6]

The covariance matrix pose estimate (lower half, symmetric matrix) (cov(xx) in m$^2$, cov(yy) in $^2$, cov(aa) in rad$^2$, cov(xy), cov(ya), cov(xa) ).

Referenced by AdaptiveMCL::MainQuit().

mean

player_pose2d_t player_localize_hypoth::mean

The mean value of the pose estimate (m, m, rad).

Referenced by AdaptiveMCL::MainQuit().

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The documentation for this struct was generated from the following file:

• player_interfaces.h