Automated parking systems use a set of camera sensors similar to surround-view systems.
Automated parking systems use a set of camera sensors similar to
surround-view systems, and usually include short-range radar, ultrasound and
high-performance inertial measurement unit sensors. In addition to camera processing
and surround-view image creation, this system also needs to perform object
detection and classification for parking spot and lane detection.
Automated
parking systems combine data from all sensors and use vision and sensor fusion
algorithms to safely maneuver the vehicle into an available space. The system
may also record video streams from the cameras to log vehicle actions while
parking. These logs can be used for incident reporting and to improve
future algorithm performance.
An SoC for this more demanding application will need greater
processing for sensor fusion and computer vision and neural network processing
for the detection and classification algorithms. The SoC may also include video
encode acceleration for recording, and access to external storage.
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