unreal engine scenario simulation -凯发k8网页登录
automated driving toolbox™ provides a cosimulation framework for modeling and visualizing driving algorithms in simulink® in a rich simulation environment. this simulation environment uses the unreal engine by epic games.
with this simulation environment, you can configure prebuilt scenes, place and move vehicles within the scene, and set up and simulate camera, radar, or lidar sensors on the vehicles. use this environment to develop, test, and verify the performance of perception, path planning, and control algorithms, including closed-loop algorithms. to learn more, see unreal engine simulation for automated driving.
for a tutorial video series on connecting a simulink vehicle to an unreal engine scene, see .
blocks
scenes and vehicle dimensions
apps
visualize sensor coverages, detections, and tracks |
classes
access additional scenes from the server |
functions
copy support package files and plugins to specified folders |
topics
simulation basics
- unreal engine simulation for automated driving
learn how to model driving algorithms in simulink and visualize their performance in a virtual environment using the unreal engine from epic games.
when simulating in the unreal engine environment, keep these software requirements, minimum hardware requirements, and limitations in mind.
learn about the co-simulation framework between simulink and the unreal engine and how block execution order affects simulation.
understand the world and vehicle coordinate systems when simulating in the unreal engine environment.
visualize a top-down view of your unreal engine simulation in simulink.
simulation with sensors
decide which camera, lidar, or radar sensors to use during simulation with the unreal engine.
learn the basics of configuring and simulating scenes, vehicles, and sensors in a virtual environment rendered using the unreal engine from epic games.
visualize depth and semantic segmentation data captured from a camera sensor in the unreal engine simulation environment.
visualize sensor coverage areas and detections obtained from high-fidelity radar and lidar sensors in the unreal engine simulation environment.
scene customization
customize unreal engine scenes for automated driving applications.
- step 1:
- step 2:
- step 3:
- step 4:
apply labels to scene objects to obtain semantic segmentation data from camera sensors or detect custom objects from probabilistic sensors.
generate a static top-down map of your scene using unreal editor.
build and use lighting in the unreal® editor.
create empty project to use in custom scenes.
place the simulation 3d camera getsimulation 3d camera getsimulation 3d camera block on static and custom actors.
create custom vehicle mesh for the simulation 3d vehicle and simulation 3d vehicle with ground following blocks.