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ekfslam_matlab.m
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%% init params
clear;
clc;
%motion params
V = 0.3;
MAX_W = 120.0*pi/180.0;
DT_CONTROLS = 0.1;
sigmaV = 0.03;
sigmaW = 1.0*pi/180.0;
Q = [sigmaV^2 0; 0 sigmaW^2];
%Observation params
MAX_RANGE = 1.9;
sigmaR = 0.05;
sigmaB = (1.0*pi/180);
R = [sigmaR^2 0; 0 sigmaB^2];
%min distance can be considered as waypoint
MIN_WP = 0.03;
%% plot
lm = [1 2 2 3 2 0 0 3 1; 1 4 3 2 1 3 6 6 6; 1 2 3 4 5 6 7 8 9];
wp = [0 2 2 3 4 4 0 0; 0 0 0 0 7 7 7 0;];
ScreenSize = get(0, 'ScreenSize')*0.75;
fig = figure('Position', [0 0 ScreenSize(3), ScreenSize(4)]);
subplot(1,2,1)
plot(lm(1,:),lm(2,:),'k.')
hold on, axis equal, grid on
MAXX = max([max(lm(1,:)) max(wp(1,:))]);
MAXY= max([max(lm(2,:)) max(wp(2,:))]);
MINX = min([min(lm(1,:)) min(wp(1,:))]);
MINY= min([min(lm(2,:)) min(wp(2,:))]);
axis([MINX-1 MAXX+1 MINY-1 MAXY+1])
Plot.xv = plot(0,0,'ro','erasemode','xor');
Plot.xt = plot(0,0,'bo','erasemode','xor');
Plot.dr = plot(0,0,'go','erasemode','xor');
Plot.pth_fusion = plot(0,0,'r','markersize',2,'erasemode','background');
Plot.pth_true = plot(0,0,'b','markersize',2,'erasemode','background');
Plot.pth_DRnoise = plot(0,0,'g','markersize',2,'erasemode','background');
Plot.obs = plot(0,0,'k','erasemode', 'xor');
xlabel('blue:true path | red:predicted path | green:noise path');
%xlabel(');
subplot(1,2,2)
hold on, grid on
MINX_= 0;MAXX_ = 723; MINY_ = 0; MAXY_ = 0.3;
axis([MINX_ MAXX_ MINY_ MAXY_])
Plott = plot(0,0,'b','markersize',2,'erasemode','background');
xlabel('error between true path and predicted path');
%% init states
global vtrue XX PX PaData
vtrue = zeros(3,1);
XX = zeros(3,1);
DR = zeros(3,1);
PX = zeros(3);
PosError = 0;
dt = DT_CONTROLS;
dtsum = 0;
iwp = 1;
W = 0;
counter = 0;
path_count = 0;
Assos = [];
PaData.i=1;
PaData.PaFusion = XX;
PaData.Patrue = vtrue;
PaData.DrNoise = DR;
PaData.state(1).XX = XX;
PaData.state(1).PX = diag(PX)
PaData.PosError = PosError;
id_stop = 0;
%% slam
while iwp ~= 0 && id_stop == 0
counter = counter +1;
global vtrue;
cwp = wp(:,iwp);
d = sqrt((cwp(1) - vtrue(1))^2 + (cwp(2) - vtrue(2))^2);
if d < MIN_WP
iwp =iwp + 1;
if iwp > size(wp,2)
iwp=1;
end
cwp = wp(:,iwp);
end
%Angle between the two points
W = AngleLimit(atan2(cwp(2) - vtrue(2), cwp(1)-vtrue(1)) - vtrue(3));
if abs(MAX_W*dt) < W
W = sign(W)*MAX_W*dt;
end
vtrue = MotionModel(vtrue, V, W, dt);
%Control noise
Vn = V + randn(1)*sqrt(Q(1,1));
Wn = W + randn(1)*sqrt(Q(2,2));
%calJacobian
angleJ = XX(3);
xUp = dt*Vn*cos(angleJ + Wn);
yUp = dt*Vn*sin(angleJ + Wn);
Gt = [1,0,xUp; 0,1,yUp; 0,0,1];
Gu = [dt*cos(angleJ + Wn) xUp;
dt*sin(angleJ + Wn) yUp;
dt*sin(Wn)/0.1 Vn*dt*cos(Wn)/0.1;];
PX(1:3, 1:3) = Gt*PX(1:3, 1:3)*Gt.' + Gu*Q*Gu.';
if length(PX) > 3
PX(1:3,4:end) = Gt*PX(1:3,4:end);
PX(4:end,1:3) = PX(1:3,4:end)';
end
XX(1:3,:) = MotionModel(XX, Vn, Wn, dt);
DR = MotionModel(DR, Vn, Wn, dt);
%observation model
z = []; ZId = [];
Znew = true;
for i=lm
dist = sqrt((i(1) - vtrue(1))^2 + (i(2) - vtrue(2))^2);
if dist <= MAX_RANGE
%landmarks can be seen
bearing = atan2((i(2) - vtrue(2)),(i(1) - vtrue(1)));
l = [dist; AngleLimit(bearing - vtrue(3)); i(3)];
z = [z l]
%new land mark
for y = 1:length(Assos)
if i(3) == Assos(y)
ZId = [ZId y];
Znew = false;
end
end
%for the new landmark, add id
if Znew
Assos = [Assos i(3)];
MuJ = [XX(1) + l(1)*cos(l(2) + XX(3)); XX(2) + l(1)*sin(l(2) + XX(3))];
XX = [XX; MuJ(1); MuJ(2)];
LenCovars = length(PX);
PX(LenCovars + 1, LenCovars + 1) = 1;
PX(LenCovars + 2, LenCovars + 2) = 1;
end
end
Znew = true;
end
%calc observe javobian
j = 0;
for zi = 1:size(z,2)
zloc = z(:,zi);
for r = 1:length(Assos)
if zloc(3) == Assos(r)
j = r;
end
end
if (j==0)
disp('Cannot find landmark');
end
jind = j*2 + 2;
[zhat, H] = ObserveModel(XX, zloc, jind);
PHt = PX*H.';
S = H*PHt + R;
SInv = inv(S);
K = PHt*SInv;
diff = [zloc(1) - zhat(1); zloc(2) - zhat(2)];
XLast = XX(1:3);
XX = XX + K*[zloc(1) - zhat(1); zloc(2) - zhat(2)];
L = K*S*K';
PX = (eye(length(PX)) - K*H)*PX;
j=0;
end
PosError = sqrt((XX(1) - vtrue(1))^2 + (XX(2) - vtrue(2))^2);
%save data for plot
global PaData
CHUNK = 500;
len = size(PaData.PaFusion,2);
if (PaData.i == len)
if len < CHUNK, len= CHUNK; end
PaData.PaFusion = [PaData.PaFusion zeros(3,len)];
PaData.Patrue = [PaData.Patrue zeros(3,len)];
PaData.DrNoise = [PaData.DrNoise zeros(3,len)];
pack
end
i = PaData.i + 1;
PaData.i = i;
PaData.PaFusion(:,i) = XX(1:3);
PaData.Patrue(:,i) = vtrue;
PaData.DrNoise(:,i) = DR;
PaData.PosError(i) = PosError;
%PaData.Posx(i) = i;
PaData.state(i).x = XX;
PaData.state(i).P = diag(PX);
PaData.PosError(1:PaData.i)
try
set(Plot.xv, 'xdata', XX(1,:), 'ydata', XX(2,:))
set(Plot.dr, 'xdata', DR(1,:), 'ydata', DR(2,:))
set(Plot.pth_true, 'xdata', PaData.Patrue(1,1:PaData.i), 'ydata', PaData.Patrue(2,1:PaData.i))
set(Plot.pth_DRnoise, 'xdata', PaData.DrNoise(1,1:PaData.i), 'ydata', PaData.DrNoise(2,1:PaData.i))
set(Plot.pth_fusion, 'xdata', PaData.PaFusion(1,1:PaData.i), 'ydata', PaData.PaFusion(2,1:PaData.i))
set(Plot.xt, 'xdata', vtrue(1,:), 'ydata', vtrue(2,:))
% set(Plott, 'xdata', PaData.Patrue(1,1:PaData.i), 'ydata', PaData.Patrue(2,1:PaData.i))
set(Plott, 'xdata', 1:PaData.i, 'ydata', PaData.PosError(1:PaData.i))
drawnow
%subplot(1,2,2)
catch
disp('whoops')
end
if(vtrue(2,:) < 0)
id_stop = 1;
end
end