公开(公告)号：US11696093B2

公开(公告)日：2023-07-04

申请号：US17182153

申请日：2021-02-22

申请人： QUALCOMM Incorporated

发明人： Farhad Ghazvinian Zanjani ,  Arash Behboodi ,  Daniel Hendricus Franciscus Dijkman ,  Ilia Karmanov ,  Simone Merlin ,  Max Welling

IPC分类号： H04W4/029

CPC分类号： H04W4/029

摘要： Certain aspects of the present disclosure provide techniques for object positioning using mixture density networks, comprising: receiving radio frequency (RF) signal data collected in a physical space; generating a feature vector encoding the RF signal data by processing the RF signal data using a first neural network; processing the feature vector using a first mixture model to generate a first encoding tensor indicating a set of moving objects in the physical space, a first location tensor indicating a location of each of the moving objects in the physical space, and a first uncertainty tensor indicating uncertainty of the locations of each of the moving objects in the physical space; and outputting at least one location from the first location tensor.

公开(公告)号：US11755886B2

公开(公告)日：2023-09-12

申请号：US17229805

申请日：2021-04-13

申请人： QUALCOMM Incorporated

发明人： Simone Merlin ,  Jamie Menjay Lin ,  Brian Michael Buesker ,  Rui Liang ,  Daniel Hendricus Franciscus Dijkman ,  Farhad Ghazvinian Zanjani ,  Ilia Karmanov ,  Vamsi Vegunta ,  Harshit Joshi ,  Bibhu Mohanty ,  Raamkumar Balamurthi

IPC分类号： G06N3/00 ,  G06N3/045 ,  H04B17/318 ,  H04W16/20 ,  H04W64/00

CPC分类号： G06N3/045 ,  H04B17/318 ,  H04W16/20 ,  H04W64/006

摘要： Disclosed are systems, methods, and non-transitory media for performing radio frequency sensing detection operations. For instance, radio frequency data can be received that is associated with at least one wireless device. The radio frequency data can be based on radio frequency signals reflected from a first object and received by the at least one wireless device. Training label data can also be obtained (e.g., from a labeling device, from the at least one wireless device, etc.). The training label data can be based at least in part on the first object and input data (e.g., received by the labeling device, the at least one wireless device, etc.). A sensing model can be generated based on the radio frequency data and the training label data.

公开(公告)号：US12022358B2

公开(公告)日：2024-06-25

申请号：US17229825

申请日：2021-04-13

申请人： QUALCOMM Incorporated

发明人： Ilia Karmanov ,  Daniel Hendricus Franciscus Dijkman ,  Farhad Ghazvinian Zanjani ,  Ishaque Ashar Kadampot ,  Simone Merlin ,  Brian Michael Buesker ,  Vamsi Vegunta ,  Harshit Joshi ,  Fatih Murat Porikli ,  Joseph Binamira Soriaga ,  Bibhu Mohanty

IPC分类号： H04W4/029 ,  G01S5/00 ,  G01S5/02 ,  G06N20/00

CPC分类号： H04W4/029 ,  G01S5/013 ,  G01S5/0278 ,  G06N20/00

摘要： Disclosed are systems, methods, and non-transitory media for performing passive radio frequency (RF) location detection operations. In some aspects, RF data, such as RF signals including channel state information (CSI), can be received from a wireless device. The RF data can be provided to a self-supervised machine-learning architecture that is configured to perform object location estimation.

公开(公告)号：US11575452B2

公开(公告)日：2023-02-07

申请号：US17229798

申请日：2021-04-13

申请人： QUALCOMM Incorporated

发明人： Simone Merlin ,  Bibhu Mohanty ,  Daniel Hendricus Franciscus Dijkman ,  Farhad Ghazvinian Zanjani ,  Ilia Karmanov ,  Brian Michael Buesker ,  Harshit Joshi ,  Vamsi Vegunta ,  Ishaque Ashar Kadampot

IPC分类号： H04B17/318 ,  H04W4/02 ,  H04W16/20 ,  H04W24/02 ,  H04W64/00

摘要： Disclosed are systems, methods, and non-transitory media for sensing radio frequency signals. For instance, radio frequency data can be received by an apparatus and from at least one wireless device in an environment. Based on the radio frequency data received from the at least one wireless device, the apparatus can determine sensing coverage of the at least one wireless device. The apparatus can further provide the determined sensing coverage and a position of at least one device to a user device.

公开(公告)号：US20220383114A1

公开(公告)日：2022-12-01

申请号：US17804842

申请日：2022-05-31

申请人： Qualcomm Incorporated

发明人： Farhad Ghazvinian Zanjani ,  Ilia Karmanov ,  Daniel Hendricus Franciscus Dijkman ,  Hanno Ackermann ,  Simone Merlin ,  Brian Michael Buesker ,  Ishaque Ashar Kadampot ,  Fatih Murat Porikli ,  Max Welling

IPC分类号： G06N3/08

摘要： Certain aspects of the present disclosure provide techniques for training and inferencing with machine learning localization models. In one aspect, a method, includes training a machine learning model based on input data for performing localization of an object in a target space, including: determining parameters of a neural network configured to map samples in an input space based on the input data to samples in an intrinsic space; and determining parameters of a coupling matrix configured to transport the samples in the intrinsic space to the target space.