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公开(公告)号：US20250138546A1
公开(公告)日：2025-05-01
申请号：US18819026
申请日：2024-08-29
Applicant: QUALCOMM Incorporated
Inventor： Vishnuu APPAYA DHANABALAN , Volodimir SLOBODYANYUK , Radhika Dilip GOWAIKAR , Makesh Pravin JOHN WILSON , Avdhut JOSHI , James POPLAWSKI
IPC: G05D1/246 , G05D109/10 , G05D111/10 , G05D111/30 , G05D111/67
Abstract: Techniques are provide for generating occupancy grids based on inputs from multiple heterogeneous sensors. An example method for generating an occupancy grid includes obtaining detection information from a plurality of heterogeneous sensors, generating a single measurement grid based on the detection information from the plurality of heterogeneous sensors, determining occupancy probabilities for a plurality of cells in the single measurement grid, and outputting the occupancy grid based at least in part on the occupancy probabilities.
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公开(公告)号：US20240200969A1
公开(公告)日：2024-06-20
申请号：US18067798
申请日：2022-12-19
Applicant: QUALCOMM Incorporated
Inventor： Volodimir SLOBODYANYUK , Radhika Dilip GOWAIKAR , Makesh Pravin JOHN WILSON , Shantanu Chaisson SANYAL , Avdhut JOSHI , Christopher BRUNNER , Behnaz REZAEI , Amin ANSARI
CPC classification number: G01C21/3807 , G01C21/3841 , G05B13/027 , G08G1/0104
Abstract: In some aspects, a device may receive sensor data associated with a vehicle and a set of frames. The device may aggregate, using a first pose, the sensor data associated with the set of frames to generate an aggregated frame, wherein the aggregated frame is associated with a set of cells. The device may obtain an indication of a respective occupancy label for each cell from the set of cells, wherein the respective occupancy label includes a first occupancy label or a second occupancy label, and wherein a subset of cells from the set of cells are associated with the first occupancy label. The device may train, using data associated with the aggregated frame, a machine learning model to generate an occupancy grid, based on a loss function that only calculates a loss for respective cells from the subset of cells. Numerous other aspects are described.
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公开(公告)号：US20210179141A1
公开(公告)日：2021-06-17
申请号：US16984312
申请日：2020-08-04
Applicant: QUALCOMM Incorporated
Inventor： Ahmed Kamel SADEK , Avdhut JOSHI , Gautam SACHDEVA , Yoga Y NADARAAJAN
Abstract: Methods, system, non-transitory media, and devices for supporting safety compliant computing in a heterogeneous computing system, such as a vehicle heterogeneous computing system are disclosed. Various aspects include methods enabling a vehicle, such as an autonomous vehicle, a semi-autonomous vehicle, etc., to achieve algorithm safety for various algorithms on a heterogeneous compute platform with various safety levels.
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公开(公告)号：US20240371016A1
公开(公告)日：2024-11-07
申请号：US18433958
申请日：2024-02-06
Applicant: QUALCOMM Incorporated
Inventor： Yunxiao SHI , Amin ANSARI , Sai Madhuraj JADHAV , Avdhut JOSHI
Abstract: An apparatus, method and computer-readable media are disclosed for processing images. For example, a method is provided for processing images for one or more visual perception tasks using a machine learning system including one or more transformer layers. The method includes: obtaining a plurality of input images associated with a plurality of spatial views of a scene; generating, using a machine learning-based encoder of a machine learning system, a plurality of features from the plurality of input images; and combining timing information associated with capture of the plurality of input images with at least one input of the machine learning system to synchronize the plurality of features in time.
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公开(公告)号：US20240221386A1
公开(公告)日：2024-07-04
申请号：US18359457
申请日：2023-07-26
Applicant: QUALCOMM Incorporated
Inventor： Vishnuu APPAYA DHANABALAN , Amin ANSARI , Yoga Y NADARAAJAN , Avdhut JOSHI
CPC classification number: G06V20/58 , G06T7/521 , G06T7/73 , G06T2207/10028 , G06T2207/20076 , G06T2207/30261
Abstract: Systems and techniques are provided for detecting objects. For example, an apparatus may include: at least one memory and at least one processor coupled to the at least one memory. The at least one processor may be configured to determine, for a column of an image captured by a camera, a pixel associated with an object. The at least one processor may be further configured to obtain a distance between the camera and the object. The at least one processor may be further configured to determine, based on the distance, a probability of occupancy of a space relative to the camera.
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Patent Agency Ranking
公开(公告)号：US20230159025A1
公开(公告)日：2023-05-25
申请号：US17455855
申请日：2021-11-19
Applicant: QUALCOMM Incorporated
Inventor： Gopi Krishna TUMMALA , Tianqi YE , Avdhut JOSHI , Monu SURANA
IPC: B60W30/095 , G08G1/16
CPC classification number: B60W30/0956 , G08G1/166 , G08G1/163 , B60W2554/4046 , B60W2554/4045 , B60W2554/408 , B60W2556/45
Abstract: Various embodiments include methods and systems for managing vehicle behavior. In some embodiments, a vehicle processor of the first vehicle may receive dynamic traffic flow feature information relevant to movements of a second vehicle within a predetermined proximity to the host vehicle, determine probabilities of a plurality of potential behaviors of the second vehicle based on the received dynamic traffic flow feature information, predict a future path of the second vehicle, and use the predicted future path of the second vehicle in a vehicle control function. In some embodiments, the vehicle processor of the first vehicle may predict a behavior of a third vehicle based on received intention information about the second vehicle, and may adjust a behavior of the first vehicle based on the predicted behavior of the third vehicle.
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公开(公告)号：US20230087261A1
公开(公告)日：2023-03-23
申请号：US17480016
申请日：2021-09-20
Applicant: QUALCOMM Incorporated
Inventor： Jayakrishnan UNNIKRISHNAN , Avdhut JOSHI
Abstract: Systems and techniques are described for performing object detection and tracking. For example, a tracking object can obtain an image comprising a target object at least partially in contact with a surface. The tracking object can obtain a plurality of two-dimensional (2D) keypoints based on one or more features associated with one or more portions of the target object in contact with the surface in the image. The tracking object can obtain information associated with a contour of the surface. Based on the plurality of 2D keypoints and the information associated with the contour of the surface, the tracking object can determine a three-dimensional (3D) representation associated with the plurality of 2D keypoints.
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公开(公告)号：US20250130576A1
公开(公告)日：2025-04-24
申请号：US18827951
申请日：2024-09-09
Applicant: QUALCOMM Incorporated
Inventor： Makesh Pravin JOHN WILSON , Avdhut JOSHI , Radhika Dilip GOWAIKAR , Volodimir SLOBODYANYUK , Vishnuu APPAYA DHANABALAN
IPC: G05D1/246 , G05D101/15 , G05D109/10 , G05D111/10 , G05D111/30 , G05D111/67 , H04W4/44
Abstract: Techniques are provided for utilizing a dynamic occupancy grid (DoG) for tracking objects proximate to an autonomous or semi-autonomous vehicle. An example method for generating an object track list in a vehicle includes obtaining sensor information from one or more sensors on the vehicle, determining a first set of object data based at least in part on the sensor information and an object recognition process, generating a dynamic grid based on an environment proximate to the vehicle based at least in part on the sensor information, determining a second set of object data based at least in part on the dynamic grid, and outputting the object track list based on a fusion of the first set of object data and the second set of object data.
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公开(公告)号：US20250124696A1
公开(公告)日：2025-04-17
申请号：US18825645
申请日：2024-09-05
Applicant: QUALCOMM Incorporated
Inventor： Makesh Pravin JOHN WILSON , Ahmed Kamel SADEK , Avdhut JOSHI , James POPLAWSKI , Vishnuu APPAYA DHANABALAN
Abstract: Techniques are provided for detecting objects proximate to a vehicle with multiple signal paths. An example method for generating object representations with multiple signal paths includes obtaining image information from at least one camera module disposed on a vehicle, obtaining target information from at least one radar module disposed on the vehicle, generating a first detection representation with a first signal path based on the image information and the target information, generating a second detection representation with a second signal path based on the image information and the target information, wherein the second signal path is different than the first signal path, and outputting the first detection representation and the second detection representation.
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公开(公告)号：US20240096111A1
公开(公告)日：2024-03-21
申请号：US18336860
申请日：2023-06-16
Applicant: QUALCOMM Incorporated
Inventor： Shivam AGARWAL , Avdhut JOSHI , Jayakrishnan UNNIKRISHNAN , Yoga Y NADARAAJAN , Sree Sesha Aravind VADREVU , Gautam SACHDEVA
CPC classification number: G06V20/588 , B60W60/001 , G06T7/70 , B60W2420/52 , G06T2207/30256
Abstract: Systems and techniques are described herein for determining lane associations of target vehicles. For instance, a method for determining lane associations of target vehicles is provided. The method may include obtaining a two-dimensional bounding box defining a position within an image frame that is associated with a target vehicle; obtaining lane markers defining a position within the image frame that is associated with at least one lane boundary; and associating a lane with the target vehicle based on a relationship between the two-dimensional bounding box and the lane markers.
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