Automated Parking Systems
Automated parking valet system is an important application in the road-map to fully-automated driving. These examples use the following three key techniques to design and test an automated parking valet system in MATLAB® and Simulink® environments:
Environment perception
Path planning
Vehicle control
Some examples use pre-built maps of the parking lot to navigate to a vacant parking spot. Some examples use live detection of a vacant spot followed by navigation.
Featured Examples
Perception-Based Parking Spot Detection Using Unreal Engine Simulation
Build a bird's-eye-view map of a parking lot using semantically segmented images from the ego vehicle camera, and detect empty parking spots from the map.
Perception Based Live Parking Spot Detection Using Unreal Engine Simulation
Develop a live parking spot detection system using deep learning and SLAM.
Visual Localization in a Parking Lot
Develop a visual localization system using synthetic image data from a parking lot scene in Unreal Engine environment.
Automated Parking Valet
Construct an automated parking valet system using path planning, trajectory generation, and vehicle control techniques.
Automated Parking Valet in Simulink
Construct an automated parking valet system in Simulink with Automated Driving Toolbox™.
Visualize Automated Parking Valet Using Cuboid Simulation
Visualize the motion of a vehicle as it navigates a parking lot in a cuboid driving scenario environment.
Visualize Automated Parking Valet Using Unreal Engine Simulation
Visualize vehicle motion in Unreal Engine® using a parking valet system constructed in Simulink.
