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公开(公告)号：US10442439B1
公开(公告)日：2019-10-15
申请号：US15681134
申请日：2017-08-18
申请人： Apple Inc.
发明人： YoungWoo Seo , Randol Aikin , Kshitiz Garg
摘要： Aspects of the present disclosure involve systems and methods for obtaining real-time road friction coefficient estimations. In one embodiment, a regression function is learned using a training data set which correlates input data measurements arriving from onboard system sensors and coefficient estimations arriving from an extension system. In another embodiment, the learned regression function can be retrieved to obtain real-time road friction coefficient estimations while the system is in motion.
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公开(公告)号：US20180157972A1
公开(公告)日：2018-06-07
申请号：US15828399
申请日：2017-11-30
申请人： Apple Inc.
发明人： Rui Hu , Kshitiz Garg , Hanlin Goh , Ruslan Salakhutdinov , Nitish Srivastava , YiChuan Tang
CPC分类号： G06N3/08 , G06K9/00791 , G06N3/0454 , G06N5/04 , G06T1/0007
摘要： A system includes a neural network organized into layers corresponding to stages of inferences. The neural network includes a common portion, a first portion, and a second portion. The first portion includes a first set of layers dedicated to performing a first inference task on an input data. The second portion includes a second set of layers dedicated to performing a second inference task on the same input data. The common portion includes a third set of layers, which may include an input layer to the neural network, that are used in the performance of both the first and second inference tasks. The system may receive an input data and perform both inference tasks on the input data in a single pass. During training, a training sample with annotations for both inference tasks may be used to train the neural network in a single pass.
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公开(公告)号：US10762440B1
公开(公告)日：2020-09-01
申请号：US15275199
申请日：2016-09-23
申请人： Apple Inc.
发明人： Kshitiz Garg , Ahmad Al-Dahle
摘要： Some embodiments provide a sensor data-processing system which detects and classifies objects detected in an environment via fusion of sensor data representations generated by multiple separate sensors. The sensor data-processing system can fuse sensor data representations generated by multiple sensor devices into a fused sensor data representation and can further detect and classify features in the fused sensor data representation. Feature detection can be implemented based at least in part upon utilizing a feature-detection model generated via one or more of deep learning and traditional machine learning. The sensor data-processing system can adjust sensor data processing of representations generated by sensor devices based on external factors including indications of sensor health and environmental conditions. The sensor data-processing system can be implemented in a vehicle and provide output data associated with the detected objects to a navigation system which navigates the vehicle according to the output data.
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公开(公告)号：US10671068B1
公开(公告)日：2020-06-02
申请号：US15709404
申请日：2017-09-19
申请人： Apple Inc.
发明人： Xinyu Xu , Ahmad Al-Dahle , Kshitiz Garg
摘要： Sensor data captured at by different sensors may be shared across different sensor processing pipelines. Sensor processing pipelines may process captured sensor data from respective sensors. Some of the sensor data that is received or processed at one sensor data processing pipeline may be provided to another sensor data processing pipeline so that subsequent processing stages at the recipient sensor processing pipeline may process the combined sensor data in order to determine a perception decision. Different types of sensor data may be shared, including raw sensor data, processed sensor data, or data derived from sensor data. A control system may perform control actions based on the perception decisions determined by the sensor processing pipelines that share sensor data.
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