Systems and methods for a vision-based machine learning model for aggregation of static objects and systems for autonomous driving. An example method includes obtaining images from image sensors positioned about a vehicle. Features associated with the images are determined, with the features being output based on a forward pass through a machine learning model. The features are projected into a vector space associated with a birds-eye view based on the machine learning model. The projected features are aggregated with other projected features associated with prior images. Images depicting static objects in the birds-eye view are output.
VISION-BASED MACHINE LEARNING MODEL FOR AGGREGATION OF STATIC OBJECTS AND SYSTEMS FOR AUTONOMOUS DRIVING
2023-02-23
Patent
Elektronische Ressource
Englisch
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