公开(公告)号：US11899132B2

公开(公告)日：2024-02-13

申请号：US17029722

申请日：2020-09-23

Applicant: QUALCOMM Incorporated

Inventor： Makesh Pravin John Wilson ,  Volodimir Slobodyanyuk ,  Sundar Subramanian ,  Radhika Dilip Gowaikar ,  Michael John Hamilton ,  Amin Ansari

IPC: G01S7/41 ,  G01S7/487 ,  G01S13/524

CPC classification number: G01S7/414 ,  G01S7/417 ,  G01S7/4873 ,  G01S13/5244

Abstract: Embodiments provided herein allow for identification of one or more regions of interest in a radar return signal that would be suitable for selected application of super-resolution processing. One or more super-resolution processing techniques can be applied to the identified regions of interest. The selective application of super-resolution processing techniques can reduce processing requirements and overall system delay. The output data of the super-resolution processing can be provided to a mobile computer system. The output data of the super-resolution processing can also be used to reconfigure the radar radio frequency front end to beam form the radar signal in region of the detected objects. The mobile computer system can use the output data for implementation of deep learning techniques. The deep learning techniques enable the vehicle to identify and classify detected objects for use in automated driving processes. The super-resolution processing techniques can be implemented in analog and/or digital circuitry.

公开(公告)号：US11443522B2

公开(公告)日：2022-09-13

申请号：US16701021

申请日：2019-12-02

Applicant: QUALCOMM Incorporated

Inventor： Bence Major ,  Daniel Hendricus Franciscus Fontijne ,  Ravi Teja Sukhavasi ,  Amin Ansari

IPC: G06V20/00 ,  G06V20/56 ,  G06T7/70 ,  G06K9/62 ,  G06T7/60 ,  G06V10/40 ,  G06V10/24 ,  G05D1/02

Abstract: Methods of processing vehicle sensor information for object detection may include capturing generating a feature map based on captured sensor information, associating with each pixel of the feature map a prior box having a set of two or more width priors and a set of two or more height priors, determining a confidence value of each height prior and each width prior, outputting an indication of a detected object based on a highest confidence height prior and a highest confidence width prior, and performing a vehicle operation based on the output indication of a detected object. Embodiments may include determining for each pixel of the feature map one or more prior boxes having a center value, a size value, and a set of orientation priors, determining a confidence value for each orientation prior, and outputting an indication of the orientation of a detected object based on the highest confidence orientation.

公开(公告)号：US09823854B2

公开(公告)日：2017-11-21

申请号：US15074444

申请日：2016-03-18

Applicant: QUALCOMM Incorporated

Inventor： Andres Alejandro Oportus Valenzuela ,  Amin Ansari ,  Richard Senior ,  Nieyan Geng ,  Anand Janakiraman ,  Gurvinder Singh Chhabra

IPC: G06F3/06 ,  G06F12/0897

CPC classification number: G06F3/0611 ,  G06F3/0626 ,  G06F3/0659 ,  G06F3/0661 ,  G06F3/0665 ,  G06F3/0673 ,  G06F12/023 ,  G06F12/0284 ,  G06F12/0615 ,  G06F12/0897 ,  G06F2212/1016 ,  G06F2212/1024 ,  G06F2212/1041 ,  G06F2212/1044 ,  G06F2212/1056 ,  G06F2212/152 ,  G06F2212/401 ,  G06F2212/65

Abstract: Aspects disclosed relate to a priority-based access of compressed memory lines in a processor-based system. In an aspect, a memory access device in the processor-based system receives a read access request for memory. If the read access request is higher priority, the memory access device uses the logical memory address of the read access request as the physical memory address to access the compressed memory line. However, if the read access request is lower priority, the memory access device translates the logical memory address of the read access request into one or more physical memory addresses in memory space left by the compression of higher priority lines. In this manner, the efficiency of higher priority compressed memory accesses is improved by removing a level of indirection otherwise required to find and access compressed memory lines.

公开(公告)号：US20170285939A1

公开(公告)日：2017-10-05

申请号：US15085399

申请日：2016-03-30

Applicant: QUALCOMM Incorporated

Inventor： Richard Senior ,  Amin Ansari ,  Vito Remo Bica ,  Jinxia Bai

IPC: G06F3/06

CPC classification number: G06F3/061 ,  G06F3/064 ,  G06F3/0656 ,  G06F3/0673 ,  H03M7/3086 ,  H03M7/6017 ,  H03M7/6029

Abstract: Aspects for generating compressed data streams with lookback pre-fetch instructions are disclosed. A data compression system is provided and configured to receive and compress an uncompressed data stream as part of a lookback-based compression scheme. The data compression system determines if a current data block was previously compressed. If so, the data compression system is configured to insert a lookback instruction corresponding to the current data block into the compressed data stream. Each lookback instruction includes a lookback buffer index that points to an entry in a lookback buffer where decompressed data corresponding to the data block will be stored during a separate decompression scheme. Once the data blocks have been compressed, the data compression system is configured to move a lookback buffer index of each lookback instruction in the compressed data stream into a lookback pre-fetch instruction located earlier than the corresponding lookback instruction in the compressed data stream.

公开(公告)号：US20170160928A1

公开(公告)日：2017-06-08

申请号：US14956728

申请日：2015-12-02

Applicant: QUALCOMM INCORPORATED

Inventor： JAVID JAFFARI ,  Amin Ansari ,  Rodolfo Beraha

IPC: G06F3/06

CPC classification number: G06F3/061 ,  G06F3/0635 ,  G06F3/0658 ,  G06F3/0679 ,  G06F13/1684 ,  G06F13/1694 ,  G06F13/4234

Abstract: Systems and methods are disclosed for a hybrid parallel-serial memory access by a system on chip (SoC). The SoC is electrically coupled to the memory by both a parallel access channel and a separate serial access channel. A request for access to the memory is received. In response to receiving the request to access the memory, a type of memory access is identified. A determination is then made whether to access the memory with the serial access channel. In response to the determination to access the memory with the serial access channel, a first portion of the memory is accessed with the parallel access channel, and a second portion of the memory is accessed with the serial access channel.

公开(公告)号：US09331712B1

公开(公告)日：2016-05-03

申请号：US14832732

申请日：2015-08-21

Applicant: QUALCOMM INCORPORATED

Inventor： Adrienne Milner ,  Amin Ansari ,  Richard Senior ,  Vito Remo Bica

IPC: H03M5/00 ,  H03M7/40 ,  H03M7/48

CPC classification number: H03M7/4062 ,  G06F2212/401 ,  H03M7/30 ,  H03M7/3084 ,  H03M7/4006 ,  H03M7/42 ,  H03M7/48 ,  H04N19/423 ,  H04N19/91

Abstract: Data compression systems, methods, and computer program products are disclosed. For each successive input word of an input stream, it is determined whether the input word matches an entry in a lookback table. The lookback table is updated in response to the input word. Input words may be of a number of data types, including zero runs and full or partial matches with an entry in the lookback table. A codeword is generated by entropy encoding a data type corresponding to the input word. The lookback table may be indexed by the position of the input word in the input stream.

公开(公告)号：US20240371169A1

公开(公告)日：2024-11-07

申请号：US18463040

申请日：2023-09-07

Applicant: QUALCOMM Incorporated

Inventor： Amin Ansari ,  Sai Madhuraj Jadhav ,  Yunxiao Shi

IPC: G06V20/56 ,  G05D1/02 ,  G06T7/70 ,  G06T7/90 ,  G06V10/82

Abstract: An example device for processing image data includes a memory configured to store image data; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: obtain an image to be processed; obtain a first auxiliary value for the image and a second auxiliary value for the image; generate an input component including the first auxiliary value and the second auxiliary value arranged in a pattern according to a stride of a neural network; and provide the image and the input component to the neural network.

公开(公告)号：US20240362889A1

公开(公告)日：2024-10-31

申请号：US18309464

申请日：2023-04-28

Applicant: QUALCOMM Incorporated

Inventor： Amin Ansari ,  Mandar Narsinh Kulkarni ,  Ahmed Kamel Sadek

IPC: G06V10/46 ,  G06T7/246 ,  G06T7/50 ,  G06T7/70 ,  G06V20/58

CPC classification number: G06V10/46 ,  G06T7/248 ,  G06T7/50 ,  G06T7/70 ,  G06V20/58

Abstract: An example device for processing image data includes a memory configured to store image data; and one or more processors implemented in circuitry and configured to: determine a set of keypoints representing objects in an image of the image data captured by a camera of a vehicle; determine depth values for the objects in the image; determine positions of the objects relative to the vehicle using the set of keypoints and the depth values; and at least partially control operation of the vehicle according to the positions of the objects. For example, the depth values may represent descriptors for the keypoints or be used to determine the descriptors for the keypoints.

公开(公告)号：US20240362807A1

公开(公告)日：2024-10-31

申请号：US18309444

申请日：2023-04-28

Applicant: QUALCOMM Incorporated

Inventor： Yunxiao Shi ,  Amin Ansari ,  Sai Madhuraj Jadhav ,  Avdhut Joshi

IPC: G06T7/55 ,  G06T7/254

CPC classification number: G06T7/55 ,  G06T7/254 ,  G06T2207/20084 ,  G06T2207/30252

Abstract: An example device for processing image data includes a processing unit configured to: receive, from a camera of a vehicle, a first image frame at a first time and a second image frame at a second time; receive, from an odometry unit of the vehicle, a first position of the vehicle at the first time and a second position of the vehicle at a second time; calculate a pose difference value representing a difference between the second and first positions; form a pose frame having a size corresponding to the first and second image frames and sample values including the pose difference value; and provide the first and second image frames and the pose frame to a neural networking unit configured to calculate depth for objects in the first image frame and the second image frame, the depth for the objects representing distances between the objects and the vehicle.

公开(公告)号：US11927668B2

公开(公告)日：2024-03-12

申请号：US16698870

申请日：2019-11-27

Applicant: QUALCOMM Incorporated

Inventor： Daniel Hendricus Franciscus Fontijne ,  Amin Ansari ,  Bence Major ,  Ravi Teja Sukhavasi ,  Radhika Dilip Gowaikar ,  Xinzhou Wu ,  Sundar Subramanian ,  Michael John Hamilton

IPC: G01S13/60 ,  G01S7/02 ,  G01S7/41 ,  G01S13/931 ,  G01S17/931 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V20/10 ,  G06V20/58 ,  G06V20/70 ,  G01S7/295 ,  G01S13/86 ,  G01S13/89 ,  G01S17/89 ,  G06F18/2413 ,  G06F18/25 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08

CPC classification number: G01S13/931 ,  G01S7/022 ,  G01S7/417 ,  G01S13/60 ,  G01S17/931 ,  G06V10/764 ,  G06V10/803 ,  G06V10/82 ,  G06V20/10 ,  G06V20/58 ,  G06V20/70 ,  G01S7/2955 ,  G01S13/865 ,  G01S13/867 ,  G01S13/89 ,  G01S17/89 ,  G06F18/24133 ,  G06F18/251 ,  G06N3/044 ,  G06N3/045 ,  G06N3/08

Abstract: Disclosed are techniques for employing deep learning to analyze radar signals. In an aspect, an on-board computer of a host vehicle receives, from a radar sensor of the vehicle, a plurality of radar frames, executes a neural network on a subset of the plurality of radar frames, and detects one or more objects in the subset of the plurality of radar frames based on execution of the neural network on the subset of the plurality of radar frames. Further, techniques for transforming polar coordinates to Cartesian coordinates in a neural network are disclosed. In an aspect, a neural network receives a plurality of radar frames in polar coordinate space, a polar-to-Cartesian transformation layer of the neural network transforms the plurality of radar frames to Cartesian coordinate space, and the neural network outputs the plurality of radar frames in the Cartesian coordinate space.