自动驾驶ADAS算法–使用MATLBA和UE4生成测试视频

环境搭建参考：

用MATLAB2020b和虚拟引擎（Unreal Engine）联合仿真输出AVM全景测试视频

matlab参考：

https://ww2.mathworks.cn/help/driving/ug/simulate-a-simple-driving-scenario-and-sensor-in-3d-environment.html

1、碰撞预警视频生成

打开matlab的软降执行一下指令

model = 'SimpleScenarioAndSensorModel3DSimulation';
open_system(model)

如果运行后可能会报错，如下所示

点击上述的红框内是的部分后重新执行上述的指令后就会消失以上的报错问题

sceneName = 'LargeParkingLot';
[sceneImage, sceneRef] = helperGetSceneImage(sceneName);
 
hScene = figure;
helperShowSceneImage(sceneImage, sceneRef)
title(sceneName)

运行后可能会报错，如下所示

点击上述的红框内是的部分后继续执行一下指令

xlabel('X (m)')
ylabel('Y (m)')
 
xyOffset = 3;
 
x = 45 - xyOffset;
y = 0 - xyOffset;
w = 3;
h = 6;
distAhead = 10;
distTraveled = 50;
 
egoStart = rectangle('Position',[x y w h],'FaceColor','r');
targetStart = rectangle('Position',[x y+distAhead w h],'FaceColor','g');
 
egoEnd = rectangle('Position',[x y+distTraveled w h],'FaceColor','r');
targetEnd = rectangle('Position',[x y+distTraveled+distAhead w h],'FaceColor','g');
 
 
xTextOffset = 30;
startText = text(x-xTextOffset, y+distAhead, 'Starting Positions', ...
    'EdgeColor','black','BackgroundColor','White');
 
endText = text(x-xTextOffset, y+distTraveled+distAhead, 'Ending Positions', ...
    'EdgeColor','black','BackgroundColor','White');

打开下显示的界面需要修改后如下所示：