零售业发展趋势专利名称：NEURAL NETWORK TRAINING USING
GROUND TRUTH DATA AUGMENTED WITH
MAP INFORMATION FOR AUTONOMOUS
水土不服
MACHINE APPLICATIONS
发明人：Mariusz Bojarski,Urs Muller,Bernhard
杜甫咏怀古迹五首
Firner,Amir Akbarzadeh玉米羹的家常做法
祛皱美容申请号：US16839751
申请日：20200403
河畔的拼音公开号：US20200324795A1
公开日：
20201015
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专利附图：
摘要：In various examples, training nsor data generated by one or more nsors of autonomous machines may be localized to high definition (HD) map data to augment and/or generate ground truth data—e.g., automatically, in embodiments. The ground truth data may be associated with the training nsor data for training one or more deep neural networks (DNNs) to compute outputs corresponding to autonomous machine operations—such as object or feature detection, road feature detection and classification, wait condition identification and classification, etc. As a result, the HD map data may be leveraged during training such that the DNNs—in deployment—may aid autonomous machines in navigating environments safely without relying on HD map data to do so.
申请人：NVIDIA Corporation
地址：Santa Clara CA US
国籍：US
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