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公开(公告)号：US20230213646A1
公开(公告)日：2023-07-06
申请号：US18057642
申请日：2022-11-21
发明人： Makesh Pravin JOHN WILSON , Radhika Dilip GOWAIKAR , Shantanu Chaisson SANYAL , Volodimir SLOBODYANYUK
IPC分类号： G01S13/89 , G06V10/25 , G06V10/82 , G06V10/764 , G01S13/58
CPC分类号： G01S13/89 , G06V10/25 , G06V10/82 , G06V10/764 , G01S13/58
摘要： Disclosed are systems, apparatuses, processes, and computer-readable media to implement a heterogenous biometric authentication process in a control system. A process includes obtaining radar information identifying measured properties of at least one object in an environment, generating pre-processed radar information for input into a neural network at least in part by processing the obtained radar information, generating an object detection output for the at least one object at least in part by detecting the at least one object using the neural network with the pre-processed radar information as input, and modifying, based on the obtained radar information, the object detection output for the at least one object.
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公开(公告)号：US20240221186A1
公开(公告)日：2024-07-04
申请号：US18530660
申请日：2023-12-06
发明人： Makesh Pravin JOHN WILSON , Radhika Dilip GOWAIKAR , Shantanu Chaisson SANYAL , Avdhut JOSHI , Rex JOMY JOSEPH , Volodimir SLOBODYANYUK
IPC分类号： G06T7/246
CPC分类号： G06T7/251 , G06T2207/10028 , G06T2207/20084
摘要： In some aspects, a device may obtain sensor data associated with identifying measured properties of an object in an environment. The device may detect a trigger event associated with at least one of the environment or the device. The device may modify, based on detecting the trigger event, one or more pre-processing operations associated with the sensor data for input to a neural network, and/or one or more post-processing operations associated with an object detection output of the neural network. The device may perform the one or more pre-processing operations associated with the sensor data to generate pre-processed sensor data. The device may generate the object detection output for the object based on detecting the object using the pre-processed sensor data as the input to the neural network. The device may perform the one or more post-processing operations using the object detection output. Numerous other aspects are described.
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公开(公告)号：US20220357441A1
公开(公告)日：2022-11-10
申请号：US17316223
申请日：2021-05-10
发明人： Amin ANSARI , Sundar SUBRAMANIAN , Radhika Dilip GOWAIKAR , Ahmed Kamel SADEK , Makesh Pravin JOHN WILSON , Volodimir SLOBODYANYUK , Shantanu Chaisson SANYAL , Michael John HAMILTON
摘要： A device for processing image data is disclosed. The device can obtain a radar point cloud and one or more frames of camera data. The device can determine depth estimates of one or more pixels of the one or more frames of camera data. The device can generate a pseudo lidar point cloud using the depth estimates of the one or more pixels of the one or more frames of camera data, wherein the pseudo lidar point cloud comprises a three-dimensional representation of at least one frame of the one or more frames of camera data. The device can determine one or more object bounding boxes based on the radar point cloud and the pseudo lidar point cloud.
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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
发明人： Volodimir SLOBODYANYUK , Radhika Dilip GOWAIKAR , Makesh Pravin JOHN WILSON , Shantanu Chaisson SANYAL , Avdhut JOSHI , Christopher BRUNNER , Behnaz REZAEI , Amin ANSARI
CPC分类号： G01C21/3807 , G01C21/3841 , G05B13/027 , G08G1/0104
摘要： 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：US20230086818A1
公开(公告)日：2023-03-23
申请号：US17480570
申请日：2021-09-21
发明人： Volodimir SLOBODYANYUK , Ahmed Kamel SADEK , Amin ANSARI , Sundar SUBRAMANIAN , Radhika Dilip GOWAIKAR , Makesh Pravin JOHN WILSON , Michael John HAMILTON , Shantanu Chaisson SANYAL
摘要： System and method for processing a camera frame in a mobile device by partitioning the camera frame into different sections based on the distance from a vehicle to each of the sections and the required resolution of each of the sections. A mobile device comprises: a memory; a processor communicatively coupled to the memory, the processor configured to: receive a camera frame from a camera mounted on a vehicle traveling on a road; determine a drivable path of the vehicle; project the drivable path onto the camera frame; partition a part of the camera frame containing the drivable path into at least one section based on a distance from the vehicle to each of the at least one section; and determine a required resolution of each of the at least one section based on the distance from the vehicle to each of the at least one section.
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公开(公告)号：US20220390582A1
公开(公告)日：2022-12-08
申请号：US17337614
申请日：2021-06-03
发明人： Volodimir SLOBODYANYUK , Radhika Dilip GOWAIKAR , Makesh Pravin JOHN WILSON , Amin ANSARI , Michael John HAMILTON , Shantanu Chaisson SANYAL , Sundar SUBRAMANIAN
IPC分类号： G01S13/42 , G01S7/03 , G01S13/931
摘要： In some aspects, a system may receive, from a first one-dimensional radar array, first information based at least in part on first reflections associated with an azimuthal plane. The system may further receive, from a second one-dimensional radar array, second information based at least in part on second reflections associated with an elevation plane. Accordingly, the system may detect an object based at least in part on the first information and may determine an elevation associated with the object based at least in part on the second information. Numerous other aspects are described.
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