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. %%%%%%%