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公开(公告)号：US11816914B2
公开(公告)日：2023-11-14
申请号：US17011854
申请日：2020-09-03
Applicant: Humanising Autonomy Limited
Inventor： Dominic Noy , Matthew Cameron Angus , James Over Everard , Wassim El Youssoufi , Raunaq Bose , Leslie Cees Nooteboom , Maya Audrey Lara Pindeus
IPC: G06V40/00 , G06V40/10 , B60W60/00 , G06N3/08 , G06V20/58 , G06F18/20 , G06N7/01 , G06V10/764 , G06V10/82 , G06V20/56
CPC classification number: G06V40/103 , B60W60/0027 , G06F18/295 , G06N3/08 , G06N7/01 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/58 , B60W2554/4046
Abstract: A device performs operations including determining a probability that a vulnerable road user (VRU) will continue on a current path (e.g., in connection with controlling an autonomous vehicle). The device receives an image depicting a vulnerable road user (VRU). The device inputs at least a portion of the image into a model, and receives, as output from the model, a plurality of probabilities describing the VRU, each of the probabilities corresponding to a probability that the VRU is in a given state. The device determines, based on at least some of the plurality of probabilities, a probability that the VRU will exhibit a behavior, and outputs the probability that the VRU will exhibit the behavior to a control system.
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2.发明申请公开(公告)号：US20210334982A1
公开(公告)日：2021-10-28
申请号：US16857645
申请日：2020-04-24
Applicant: Humanising Autonomy Limited
Inventor： Yazhini Chitra Pradeep , Wassim El Youssoufi , Dominic Noy , James Over Everard , Raunaq Bose , Maya Audrey Lara Pindeus , Leslie Cees Nooteboom
IPC: G06T7/20
Abstract: Systems and methods are disclosed herein for tracking a vulnerable road user (VRU) regardless of occlusion. In an embodiment, the system captures a series of images including the VRU, and inputs each of the images into a detection model. The system receives a bounding box for each of the series of images of the VRU as output from the detection model. The system inputs each bounding box into a multi-task model, and receives as output from the multi-task model an embedding for each bounding box. The system determines, using the embeddings for each bounding box across the series of images, an indication of which of the embeddings correspond to the VRU.
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公开(公告)号：US12190625B2
公开(公告)日：2025-01-07
申请号：US18479797
申请日：2023-10-02
Applicant: Humanising Autonomy Limited
Inventor： Dominic Noy , Matthew Cameron Angus , James Over Everard , Wassim El Youssoufi , Raunaq Bose , Leslie Cees Nooteboom , Maya Audrey Lara Pindeus
IPC: G06V40/00 , B60W60/00 , G06F18/20 , G06N3/08 , G06N7/01 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/58 , G06V40/10
Abstract: A device performs operations including determining a probability that a vulnerable road user (VRU) will continue on a current path (e.g., in connection with controlling an autonomous vehicle). The device receives an image depicting a vulnerable road user (VRU). The device inputs at least a portion of the image into a model, and receives, as output from the model, a plurality of probabilities describing the VRU, each of the probabilities corresponding to a probability that the VRU is in a given state. The device determines, based on at least some of the plurality of probabilities, a probability that the VRU will exhibit a behavior, and outputs the probability that the VRU will exhibit the behavior to a control system.
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公开(公告)号：US12094252B2
公开(公告)日：2024-09-17
申请号：US17549680
申请日：2021-12-13
Applicant: Humanising Autonomy Limited
Inventor： Wassim El Youssoufi , Dominic Noy , Yazhini Chitra Pradeep , James Over Everard , Leslie Cees Nooteboom , Raunaq Bose , Maya Audrey Lara Pindeus
CPC classification number: G06V40/23 , G06T7/70 , G06T2207/20081 , G06T2207/30196
Abstract: An occlusion analysis system improves accuracy of behavior prediction models by generating occlusion parameters that may inform mathematical models to generate more accurate predictions. The occlusion analysis system trains and applies models for generating occlusion parameters, such as a manner in which a person is occluded, occlusion percentage, occlusion type. A behavior prediction system may input the occlusion parameters as well as other parameters relating to activity of the human into a second mathematical model for behavior prediction. The second machine learning model is a higher-level model trained to output a prediction that the human will exhibit a future behavior and a confidence level associated with the prediction. The confidence level is at least partially determined based on the occlusion parameters. The behavior prediction system may output the prediction and the confidence level to a control system that generates commands associated with a vehicle and other intelligent video analytics systems.
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公开(公告)号：US20220189210A1
公开(公告)日：2022-06-16
申请号：US17549680
申请日：2021-12-13
Applicant: Humanising Autonomy Limited
Inventor： Wassim El Youssoufi , Dominic Noy , Yazhini Chitra Pradeep , James Over Everard , Leslie Cees Nooteboom , Raunaq Bose , Maya Audrey Lara Pindeus
Abstract: An occlusion analysis system improves accuracy of behavior prediction models by generating occlusion parameters that may inform mathematical models to generate more accurate predictions. The occlusion analysis system trains and applies models for generating occlusion parameters, such as a manner in which a person is occluded, occlusion percentage, occlusion type. A behavior prediction system may input the occlusion parameters as well as other parameters relating to activity of the human into a second mathematical model for behavior prediction. The second machine learning model is a higher-level model trained to output a prediction that the human will exhibit a future behavior and a confidence level associated with the prediction. The confidence level is at least partially determined based on the occlusion parameters. The behavior prediction system may output the prediction and the confidence level to a control system that generates commands associated with a vehicle and other intelligent video analytics systems.
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Patent Agency Ranking
公开(公告)号：US12154434B2
公开(公告)日：2024-11-26
申请号：US18463265
申请日：2023-09-07
Applicant: Humanising Autonomy Limited
Inventor： Raunaq Bose , Leslie Cees Nooteboom , Maya Audrey Lara Pindeus
IPC: G08B23/00 , B60W40/09 , B60W50/14 , G06N20/00 , G06V10/80 , G06V20/40 , G06V20/52 , G06V20/58 , G06V40/20 , G08G1/017 , G08G1/16 , B60W40/08
Abstract: The systems and methods disclosed herein provide a risk prediction system that uses trained machine learning models to make predictions that a VRU will take a particular action. The system first receives, in a video stream, an image depicting a VRU operating a micro-mobility vehicle and extract the depictions from the image. The extraction process may be determined by bounding box classifiers trained to identify various VRUs and micro-mobility vehicles. The system feeds the extracted depictions to machine learning models and receives, as an output, risk profiles for the VRU and the micro-mobility vehicle. The risk profile may include data associated with the VRU/micro-mobility vehicle determined based on classifications of the VRU and the micro-mobility vehicles. The system may then generate a prediction that the VRU operating the micro-mobility vehicle will take a particular action based on the risk profile.
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公开(公告)号：US20230419839A1
公开(公告)日：2023-12-28
申请号：US18463265
申请日：2023-09-07
Applicant: Humanising Autonomy Limited
Inventor： Raunaq Bose , Leslie Cees Nooteboom , Maya Audrey Lara Pindeus
IPC: G08G1/16 , G06N20/00 , G06V20/52 , B60W40/09 , B60W50/14 , G08G1/017 , G06V10/80 , G06V20/40 , G06V20/58 , G06V40/20
CPC classification number: G08G1/166 , G06N20/00 , G06V20/52 , B60W40/09 , B60W50/14 , G08G1/0175 , G06V10/809 , G06V20/46 , G06V20/58 , G06V40/20 , G06V2201/07 , G06V2201/08 , B60W2040/0863
Abstract: The systems and methods disclosed herein provide a risk prediction system that uses trained machine learning models to make predictions that a VRU will take a particular action. The system first receives, in a video stream, an image depicting a VRU operating a micro-mobility vehicle and extract the depictions from the image. The extraction process may be determined by bounding box classifiers trained to identify various VRUs and micro-mobility vehicles. The system feeds the extracted depictions to machine learning models and receives, as an output, risk profiles for the VRU and the micro-mobility vehicle. The risk profile may include data associated with the VRU/micro-mobility vehicle determined based on classifications of the VRU and the micro-mobility vehicles. The system may then generate a prediction that the VRU operating the micro-mobility vehicle will take a particular action based on the risk profile.
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公开(公告)号：US20210070322A1
公开(公告)日：2021-03-11
申请号：US17011854
申请日：2020-09-03
Applicant: Humanising Autonomy Limited
Inventor： Dominic Noy , Matthew Cameron Angus , James Over Everard , Wassim El Youssoufi , Raunaq Bose , Leslie Cees Nooteboom , Maya Audrey Lara Pindeus
Abstract: A device performs operations including determining a probability that a vulnerable road user (VRU) will continue on a current path (e.g., in connection with controlling an autonomous vehicle). The device receives an image depicting a vulnerable road user (VRU). The device inputs at least a portion of the image into a model, and receives, as output from the model, a plurality of probabilities describing the VRU, each of the probabilities corresponding to a probability that the VRU is in a given state. The device determines, based on at least some of the plurality of probabilities, a probability that the VRU will exhibit a behavior, and outputs the probability that the VRU will exhibit the behavior to a control system.
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公开(公告)号：US10913454B2
公开(公告)日：2021-02-09
申请号：US16219566
申请日：2018-12-13
Applicant: Humanising Autonomy Limited
Abstract: A system and a method are disclosed for determining intent of a human based on human pose. In some embodiments, a processor obtains a plurality of sequential images from a video feed, and determines respective keypoints corresponding a human in each respective image of the plurality of sequential images. The processor aggregates the respective keypoints for each respective image into a pose of the human and transmits a query to a database to find a template that matches the pose by comparing the pose to a plurality of templates poses that translate candidate poses to intent, each template corresponding to an associated intent. The processor receives a reply message from the database that either indicates an intent of the human based on a matching template, or an inability to locate the matching template, and, in response to the reply message indicating the intent of the human, outputs the intent.
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公开(公告)号：US20240104926A1
公开(公告)日：2024-03-28
申请号：US17952062
申请日：2022-09-23
Applicant: Humanising Autonomy Limited
Inventor： Dominic Noy , Carlos Serra Magalhães Coelho , Raunaq Bose , Leslie Nooteboom , Maya Audrey Lara Pindeus
IPC: G06V20/40 , G06V10/764
CPC classification number: G06V20/41 , G06V10/764
Abstract: A system and a method are disclosed for detecting a sentiment based in part on visual data. The system receives visual data of an environment generated by one or more sensors, accesses a sequence of AI models. Outputs of earlier models in the sequence act as inputs to one or more later models in the sequence. The sequence of AI models includes one or more frame-based models and one or more temporal-based models. The frame-based model is configured to receive the visual data as input, and extract multiple sets of frame-based features associated with the person based in part on the visual data. The temporal-based model is configured to receive the multiple sets of frame-based features as input, and determine a sentiment of the one or more persons based in part on the multiple sets of frame-based features.
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