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公开(公告)号:US20200151611A1
公开(公告)日:2020-05-14
申请号:US16617333
申请日:2018-05-25
Applicant: Google LLC
Inventor: Christine McGavran , Richard William Bukowski , Abraham Jack Yacobian , Nima Asgharbeygi , Matthew Simmons
Abstract: Provided are methods, systems, devices, and tangible non-transitory computer readable media for providing data associated with a machine-learned model library. The disclosed technology can perform operations including providing a machine-learned GP model library that includes a plurality of machine-learned models trained to generate semantic observations based on sensor data associated with a vehicle. Each machine-learned model of the plurality of machine-learned models can be associated with one or more configurations supported by each machine-learned model. A request for a machine-learned model from the machine-learned model library can be received a remote computing device. Furthermore, based on the request, the machine-learned model can be provided to the remote computing device.