Add html. finish sensor fusion tech talks.

MATLAB Tech Talks/Understanding Sensor Fusion and Tracking/TrackToTrackFusionForAutomotiveSafetyApplicationsExample/createT2TDisplay.m

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+function [f,plotters] = createT2TDisplay(scenario, sensors, attachedVehicle)
+% Create bird's eye plot
+f = figure('Visible','off'); pause(0.1)
+set(f,'Position',[433 425 1362 607]);
+p1 = uipanel(f,'Title', 'Vehicle 1', 'Position', [0.01 0.01 0.48 0.98]);
+p2 = uipanel(f,'Title', 'Vehicle 2', 'Position', [0.51 0.01 0.48 0.98]);
+a = axes(p1);
+xlims = [50 220];
+bep{1} = birdsEyePlot('Parent', a, 'XLim', xlims, 'YLim', [-50 50]);
+a = axes(p2);
+bep{2} = birdsEyePlot('Parent', a, 'XLim', xlims, 'YLim', [-50 50]);
+set(p1.Children(1),'Position',[0.35 0.95 0.3 0.0345],'Orientation','horizontal','NumColumnsMode','manual','NumColumns',5);
+set(p2.Children(1),'Position',[0.35 0.95 0.3 0.0345],'Orientation','horizontal','NumColumnsMode','manual','NumColumns',5);
+for i = 1:numel(sensors)
+    shift = scenario.Actors(attachedVehicle(i)).Position(1:2);
+    name = "";%Vehicle " + string(attachedVehicle(i));
+    if isa(sensors{i},'radarDetectionGenerator')
+        plotters.SensorPlotter(i) = coverageAreaPlotter(bep{attachedVehicle(i)}, 'DisplayName',...
+            name + " radar", 'FaceColor', 'r');
+        plotCoverageArea(plotters.SensorPlotter(i), sensors{i}.SensorLocation + shift,...
+            sensors{i}.MaxRange, sensors{i}.Yaw,...
+            sensors{i}.FieldOfView(1));
+    else
+        plotters.SensorPlotter(i) = coverageAreaPlotter(bep{attachedVehicle(i)}, 'DisplayName',...
+            name + " vision", 'FaceColor', 'b');
+        plotCoverageArea(plotters.SensorPlotter(i), sensors{i}.SensorLocation + shift,...
+            sensors{i}.MaxRange, sensors{i}.Yaw,...
+            sensors{i}.FieldOfView(1));
+    end
+end
+plotters.veh1DetPlotter = detectionPlotter(bep{1}, 'DisplayName', 'Detections',...
+    'MarkerEdgeColor', 'black', 'MarkerFaceColor', 'black');
+plotters.veh2DetPlotter = detectionPlotter(bep{2}, 'DisplayName', 'Detections',...
+    'MarkerEdgeColor', 'black', 'MarkerFaceColor', 'black');
+plotters.veh1TrkPlotter = trackPlotter(bep{1}, 'DisplayName', 'Local Tracks',...
+    'MarkerEdgeColor', 'black');
+plotters.veh2TrkPlotter = trackPlotter(bep{2}, 'DisplayName', 'Local Tracks',...
+    'MarkerEdgeColor', 'black');
+plotters.veh1FusePlotter = trackPlotter(bep{1}, 'DisplayName', 'Fuser Tracks',...
+    'MarkerEdgeColor', 'black', 'Marker', 'd');
+plotters.veh2FusePlotter = trackPlotter(bep{2}, 'DisplayName', 'Fuser Tracks',...
+    'MarkerEdgeColor', 'black', 'Marker', 'd');
+plotters.ol1Plotter = outlinePlotter(bep{1});
+plotters.lb1Plotter = laneBoundaryPlotter(bep{1});
+
+plotters.ol2Plotter = outlinePlotter(bep{2});
+plotters.lb2Plotter = laneBoundaryPlotter(bep{2});
+
+rb = roadBoundaries(scenario);
+[position, yaw, length, width, originOffset, color] = targetOutlines(scenario.Actors(1));
+position = position + scenario.Actors(1).Position(1:2);
+
+% update the bird's-eye plotters with the road and actors
+plotLaneBoundary(plotters.lb1Plotter, rb);
+plotOutline(plotters.ol1Plotter, position, yaw, length, width, ...
+    'OriginOffset', originOffset, 'Color', color);
+plotLaneBoundary(plotters.lb2Plotter, rb);
+plotOutline(plotters.ol2Plotter, position, yaw, length, width, ...
+    'OriginOffset', originOffset, 'Color', color);
+end

MATLAB Tech Talks/Understanding Sensor Fusion and Tracking/TrackToTrackFusionForAutomotiveSafetyApplicationsExample/showsnap.m

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+function showsnap(snaps, id)
+h = figure("Name","Snap #" + id,"IntegerHandle","off","Units","normalized","Position",[0.01 0.01 0.98 0.98]);
+a = axes(h);
+imshow(snaps{id}.cdata,"Parent",a)
+end

MATLAB Tech Talks/Understanding Sensor Fusion and Tracking/TrackToTrackFusionForAutomotiveSafetyApplicationsExample/updateT2TDisplay.m

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+function updateT2TDisplay(plotters, scenario, sensors, attachedVehicle)
+% Updates the display of the road and actors on the road
+
+% get the road boundaries and rectangular outlines
+rb = roadBoundaries(scenario);
+[position, yaw, length, width, originOffset, color] = targetOutlines(scenario.Actors(1));
+position = position + scenario.Actors(1).Position(1:2);
+
+% update the bird's-eye plotters with the road and actors
+plotLaneBoundary(plotters.lb1Plotter, rb);
+plotOutline(plotters.ol1Plotter, position, yaw, length, width, ...
+    'OriginOffset', originOffset, 'Color', color);
+plotLaneBoundary(plotters.lb2Plotter, rb);
+plotOutline(plotters.ol2Plotter, position, yaw, length, width, ...
+    'OriginOffset', originOffset, 'Color', color);
+
+for i = 1:numel(sensors)
+    shift = scenario.Actors(attachedVehicle(i)).Position(1:2);
+    if isa(sensors{i},'radarDetectionGenerator')
+        plotCoverageArea(plotters.SensorPlotter(i), sensors{i}.SensorLocation + shift,...
+            sensors{i}.MaxRange, sensors{i}.Yaw,...
+            sensors{i}.FieldOfView(1));
+    else
+        plotCoverageArea(plotters.SensorPlotter(i), sensors{i}.SensorLocation + shift,...
+            sensors{i}.MaxRange, sensors{i}.Yaw,...
+            sensors{i}.FieldOfView(1));
+    end
+end
+end