-
公开(公告)号：US12284576B2
公开(公告)日：2025-04-22
申请号：US17366099
申请日：2021-07-02
Applicant: Intel Corporation
Inventor： Ruchika Chawla Singh , Rita Chattopadhyay , Siew Wen Chin , Sangeeta Manepalli
Abstract: A robot including a resource sharing circuit, configured to operate according to a resource utilization limit, and comprising a processor, configured to receive resource data representing a resource utilization of the robot; if the resource utilization of the robot is within a predetermined range, operate according to a first operational mode, wherein an upper limit of the predetermined range is defined by a tolerance relative to the resource utilization limit; if the resource utilization of the robot is outside of the predetermined range, operate according to a second operational mode; wherein the first operational mode includes controlling a communication circuit to send a first wireless signal representing an availability to accept a task; and wherein the second operational mode includes controlling the communication circuit to send a second wireless signal representing an availability to allocate a task to an external device for remote processing.
-
公开(公告)号：US12198378B2
公开(公告)日：2025-01-14
申请号：US18528424
申请日：2023-12-04
Applicant: Intel Corporation
Inventor： Soila Kavulya , Rita Chattopadhyay , Monica Lucia Martinez-Canales
IPC: G06T7/73
Abstract: Technologies for performing sensor fusion include a compute device. The compute device includes circuitry configured to obtain detection data indicative of objects detected by each of multiple sensors of a host system. The detection data includes camera detection data indicative of a two or three dimensional image of detected objects and lidar detection data indicative of depths of detected objects. The circuitry is also configured to merge the detection data from the multiple sensors to define final bounding shapes for the objects.
-
公开(公告)号：US12093005B2
公开(公告)日：2024-09-17
申请号：US17505458
申请日：2021-10-19
Applicant: Intel Corporation
IPC: G05B19/042 , F24F11/63 , G06F11/30 , G06F17/14
CPC classification number: G05B19/042 , F24F11/63 , G06F11/3013 , G06F11/3089 , G06F17/14 , G06F2201/81
Abstract: Apparatus and method to facilitate automatic detection of a device state are disclosed herein. Selectively constraining a sensor based data set associated with one or more states of a device, wherein selectively constraining the sensor based data set includes analyzing a distribution of the sensor based data set to determine whether to constrain the sensor based data set, the sensor based data set including a first class and a second class of data values. Determining a threshold associated with the sensor based data set by selecting the threshold based on a variance between the first and second classes of the sensor based data set, wherein selecting the threshold includes using a constrained sensor based data set when the sensor based data set is determined to be constrained, and wherein the threshold indicates the data values associated with the first and second classes.
-
公开(公告)号：US20240257374A1
公开(公告)日：2024-08-01
申请号：US18565791
申请日：2021-09-23
Applicant: Intel Corporation
Inventor： Xuesong Shi , Sangeeta Manepalli , Rita Chattopadhyay , Peng Wang , Yimin Zhang
CPC classification number: G06T7/579 , G06T7/73 , G06T2207/20081 , G06T2207/20084
Abstract: An apparatus to facilitate learning reliable keypoints in situ with introspective self-supervision is disclosed. The apparatus includes one or more processors to provide a view-overlapped keyframe pair from a pose graph that is generated by a visual simultaneous localization and mapping (VSLAM) process executed by the one or more processors: determine a keypoint match from the view-overlapped key frame pair based on a keypoint detection and matching process, the keypoint match corresponding to a keypoint: calculate an inverse reliability score based on matched pixels corresponding to the keypoint match in the view-overlapped keyframe pair: identify a supervision signal associated with the keypoint match, the supervision signal comprising a keypoint reliability score of the keypoint based on a final pose output of the VSLAM process; and train a keypoint detection neural network using the keypoint match, the inverse reliability score, and the keypoint reliability score.
-
公开(公告)号：US20230186156A1
公开(公告)日：2023-06-15
申请号：US17917335
申请日：2021-05-17
Applicant: Intel Corporation
Inventor： Ned Smith , Rita Chattopadhyay
Abstract: Methods, apparatus, systems and articles of manufacture to train a model using attestation data are disclosed. An example apparatus includes memory, instructions, and at least one processor to execute machine readable instructions to at least access training data originating from an edge device, the training data including telemetry information and attestation information, determine a weighting value to be used for the telemetry information based on the attestation information associated with the edge device, and train a machine learning model based on the telemetry information and the weighting value.
-
Patent Agency Ranking
公开(公告)号：US20230081849A1
公开(公告)日：2023-03-16
申请号：US17957161
申请日：2022-09-30
Applicant: Intel Corporation
Inventor： Rita Chattopadhyay , Monica Lucia Martinez-Canales , Tomasz J. Wolak
IPC: G06V20/58 , G01S17/931
Abstract: Spatial data may be divided along an axis of the second dimension into a first data segment and a second data segment, such that the first data segment is limited to data points of the spatial data with second dimension coordinates within a first range and the second data segment is limited to data points of the spatial data with second dimension coordinates within a second range. A first processing element may execute an object detection process on the first data segment to generate a first list of objects within the first data segment. A second processing element may execute the object detection process on the second data segment to generate a second list of objects within the second data segment. A first set of objects detected in the first data segment may be combined with a second set of objects detected in the second data segment.
-
公开(公告)号：US20220307849A1
公开(公告)日：2022-09-29
申请号：US17834027
申请日：2022-06-07
Applicant: Intel Corporation
Inventor： Rita Chattopadhyay , Mohammad Haghighipanah
Abstract: Techniques are disclosed to facilitate multi-agent path planning and to enable navigation for robotics systems. The path planning may include a Probabilistic Road Map (PRM), Deterministic Road Map (DRM) or any other kind of road maps with an adaptive sampling technique having a rapid two-way search to compute a global path. With the road map and Two-way search strategy, a parallel or simultaneous check for feasibility at each iteration may be performed. The road map can be saved for future inquiries.
-
公开(公告)号：US11359926B2
公开(公告)日：2022-06-14
申请号：US16143894
申请日：2018-09-27
Applicant: Intel Corporation
Inventor： Magdiel F. Galan-Oliveras , Rita Chattopadhyay , Subramanian Anandaraj
Abstract: Technologies for autonomous vehicle driving quality of service (QoS) determination and communication include an advanced vehicle with a vehicle computing device. The computing device determines multiple route segments of one or more routes to a destination. The computing device determines, for each route segment, one or more autonomous driving factors that are each indicative of an autonomy level achievable by the advanced vehicle for the associated route segment. Factors may include map availability, weather conditions, road conditions, or other factors. The computing device determines, for each route segment, an autonomous QoS score based on the autonomous driving factors. The computing device may rank multiple routes to the destination based on the autonomous QoS scores associated with the route segments of those routes. The computing device may display a proposed route to a user of the advanced vehicle and receive a selection from the user. Other embodiments are described and claimed.
-
公开(公告)号：US20220114752A1
公开(公告)日：2022-04-14
申请号：US17561478
申请日：2021-12-23
Applicant: Intel Corporation
Inventor： Soila Kavulya , Rita Chattopadhyay , Monica Lucia Martinez-Canales
IPC: G06T7/73
Abstract: Technologies for performing sensor fusion include a compute device. The compute device includes circuitry configured to obtain detection data indicative of objects detected by each of multiple sensors of a host system. The detection data includes camera detection data indicative of a two or three dimensional image of detected objects and lidar detection data indicative of depths of detected objects. The circuitry is also configured to merge the detection data from the multiple sensors to define final bounding shapes for the objects.
-
20.发明授权公开(公告)号：US10957450B2
公开(公告)日：2021-03-23
申请号：US15396075
申请日：2016-12-30
Applicant: Intel Corporation
Inventor： Rita Chattopadhyay , Kalpana A. Algotar , Amith Harsha , Ravindra V. Narkhede
Abstract: Systems, apparatuses and methods may provide for technology that assigns confidence levels to data bins containing similarity data and length of stay data, wherein the similarity data and the length of stay data correspond to a plurality of previous admissions. Additionally, the confidence levels may be weighted based on a distribution metric that assigns higher weights to denser regions. A length of stay of a target admission may be predicted based on the weighted confidence levels.
-
-
-
-
-
-
-
-
-
Search Results
60
records
(took 0.027 seconds)
