代码搜索:SLAM
找到约 288 项符合「SLAM」的源代码
代码结果 288
www.eeworm.com/read/133943/5897340
m slam_offline_loopy.m
% Compare Kalman smoother with loopy
seed = 0;
rand('state', seed);
randn('state', seed);
nlandmarks = 6;
T = 12;
[A,B,C,Q,R,Qbig,Rbig,init_x,init_V,robot_block,landmark_block,...
true_landmark_p
www.eeworm.com/read/133943/5897344
m offline_loopy_slam.m
% We navigate a robot around a square using a fixed control policy and no noise.
% We assume the robot observes the relative distance to the nearest landmark.
% Everything is linear-Gaussian.
%%%%%%%
www.eeworm.com/read/133943/5897346
m slam_partial_kf.m
% See how well partial Kalman filter updates work
seed = 0;
rand('state', seed);
randn('state', seed);
nlandmarks = 6;
T = 12;
[A,B,C,Q,R,Qbig,Rbig,init_x,init_V,robot_block,landmark_block,...
tr
www.eeworm.com/read/405930/11454710
eps slam_if_2d.eps
%!PS-Adobe-3.0 EPSF-3.0
%%Creator: MATLAB, The Mathworks, Inc. Version 7.2.0.283 (R2006a). Operating System: Darwin 8.7.0 Darwin Kernel Version 8.7.0: Fri May 26 15:20:53 PDT 2006; root:xnu-792.6.76.o
www.eeworm.com/read/405930/11454711
eps slam_if_1d.eps
%!PS-Adobe-3.0 EPSF-3.0
%%Creator: MATLAB, The Mathworks, Inc. Version 7.2.0.283 (R2006a). Operating System: Darwin 8.7.0 Darwin Kernel Version 8.7.0: Fri May 26 15:20:53 PDT 2006; root:xnu-792.6.76.o
www.eeworm.com/read/405930/11454720
m slam_if_1d.m
%
% SLAM_IF_1D performs an interactive simulation of SLAM with information filter.
% SLAM_IF_1D() is a one-dimensional (i.e. monobot) linear simulation of
% Simultaneous Localization and Mapping
www.eeworm.com/read/405930/11454722
m slam_if_2d.m
%
% SLAM_IF_2D performs an interactive simulation of SLAM with information filter.
% SLAM_IF_2D() is a two-dimensional linear simulation of Simultaneous
% Localization and Mapping (SLAM) with the
www.eeworm.com/read/251838/4414538
m mk_linear_slam.m
function [A,B,C,Q,R,Qbig,Rbig,init_x,init_V,robot_block,landmark_block,...
true_landmark_pos, true_robot_pos, true_data_assoc, ...
obs_rel_pos, ctrl_signal] = mk_linear_slam(varargin)
% We crea
www.eeworm.com/read/251838/4414539
m slam_offline_loopy.m
% Compare Kalman smoother with loopy
seed = 0;
rand('state', seed);
randn('state', seed);
nlandmarks = 6;
T = 12;
[A,B,C,Q,R,Qbig,Rbig,init_x,init_V,robot_block,landmark_block,...
true_landmark_p
www.eeworm.com/read/251838/4414543
m offline_loopy_slam.m
% We navigate a robot around a square using a fixed control policy and no noise.
% We assume the robot observes the relative distance to the nearest landmark.
% Everything is linear-Gaussian.
%%%%%%%