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1.发明申请公开(公告)号：US20230125456A1
公开(公告)日：2023-04-27
申请号：US17968265
申请日：2022-10-18
发明人： Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG
摘要： Aspects of the present disclosure describe dynamic road traffic noise mapping using DFOS over a telecommunications network that enables mapping of road traffic-induced noise at any observer location. DFOS is used to obtain instant traffic data including vehicle speed, volume, and vehicle types, based on vibration and acoustic signal along the length of a sensing fiber along with location information. A sound pressure level at a point of interest is determined, and traffic data associated with such point is incorporated into a reference noise emission database and a wave propagation theory for total sound pressure level prediction and mapping. Real-time wind speed using DFOS—such as distributed acoustic sensing (DAS)—is obtained to provide sound pressure adjustment due to the wind speed.
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公开(公告)号：US20230112441A1
公开(公告)日：2023-04-13
申请号：US17961169
申请日：2022-10-06
发明人： LuAn Tang , Yuncong Chen , Wei Cheng , Zhengzhang Chen , Haifeng Chen , Yuji Kobayashi , Yuxiang Ren
摘要： Systems and methods for data fusion and analysis of vehicle sensor data, including receiving a multiple modality input data stream from a plurality of different types of vehicle sensors, determining latent features by extracting modality-specific features from the input data stream, and aligning a distribution of the latent features of different modalities by feature-level data fusion. Classification probabilities can be determined for the latent features using a fused modality scene classifier. A tree-organized neural network can be trained to determine path probabilities and issue driving pattern judgments, with the tree-organized neural network including a soft tree model and a hard decision leaf. One or more driving pattern judgments can be issued based on a probability of possible driving patterns derived from the modality-specific features.
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公开(公告)号：US20230086023A1
公开(公告)日：2023-03-23
申请号：US17940599
申请日：2022-09-08
发明人： Farley Lai , Asim Kadav , Cheng-En Wu
IPC分类号： G06V20/40 , G06V10/771
摘要： A method for model training and deployment includes training, by a processor, a model to learn video representations with a self-supervised contrastive loss by performing progressive training in phases with an incremental number of positive instances from one or more video sequences, resetting the learning rate schedule in each of the phases, and inheriting model weights from a checkpoint from a previous training phase. The method further includes updating the trained model with the self-supervised contrastive loss given multiple positive instances obtained from Cascade K-Nearest Neighbor mining of the one or more video sequences by extracting features in different modalities to compute similarities between the one or more video sequences and selecting a top-k similar instances with features in different modalities. The method also includes fine-tuning the trained model for a downstream task. The method additionally includes deploying the trained model for a target application inference for the downstream task.
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公开(公告)号：US11610436B2
公开(公告)日：2023-03-21
申请号：US17197431
申请日：2021-03-10
发明人： Biplob Debnath , Srimat Chakradhar
摘要： Methods and systems for face recognition and response include extracting a face image from a video stream. A pre-processed index is searched for a watchlist image that matches the face image, based on a similarity distance that is computed from a normalized similarity score to satisfy metric properties. The index of the watchlist includes similarity distances between face images stored in the watchlist. An action is performed responsive to a determination that the extracted face image matches the watchlist image.
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公开(公告)号：US20230073055A1
公开(公告)日：2023-03-09
申请号：US17903383
申请日：2022-09-06
发明人： Yi-Hsuan Tsai , Sparsh Garg , Manmohan Chandraker , Samuel Shulter , Vijay Kumar Baikampady Gopalkrishna
IPC分类号： G06T7/11
摘要： A computer-implemented method for rut detection is provided. The method includes detecting, by a rut detection system, areas in a road-scene image that include ruts with pixel-wise probability values, wherein a higher value indicates a better chance of being a rut. The method further includes performing at least one of rut repair and vehicle rut avoidance responsive to the pixel-wise probability values. The detecting step includes performing neural network-based, pixel-wise semantic segmentation with context information on the road-scene image to distinguish rut pixels from non-rut pixels on a road depicted in the road-scene image.
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公开(公告)号：US11600113B2
公开(公告)日：2023-03-07
申请号：US17091066
申请日：2020-11-06
发明人： Xiang Yu , Manmohan Chandraker , Kihyuk Sohn , Aruni RoyChowdhury
摘要： A computer-implemented method for implementing face recognition includes obtaining a face recognition model trained on labeled face data, separating, using a mixture of probability distributions, a plurality of unlabeled faces corresponding to unlabeled face data into a set of one or more overlapping unlabeled faces that include overlapping identities to those in the labeled face data and a set of one or more disjoint unlabeled faces that include disjoint identities to those in the labeled face data, clustering the one or more disjoint unlabeled faces using a graph convolutional network to generate one or more cluster assignments, generating a clustering uncertainty associated with the one or more cluster assignments, and retraining the face recognition model on the labeled face data and the unlabeled face data to improve face recognition performance by incorporating the clustering uncertainty.
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公开(公告)号：US20230048581A1
公开(公告)日：2023-02-16
申请号：US17885115
申请日：2022-08-10
IPC分类号： G06F9/54
摘要： Methods and systems for executing an application include extending a container orchestration system application programming interface (API) to handle objects that specify components of an application. An application representation is executed using the extended container orchestration system API, including the instantiation of one or more services that define a data stream path from a sensor to a device.
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公开(公告)号：US11580780B2
公开(公告)日：2023-02-14
申请号：US17091011
申请日：2020-11-06
发明人： Xiang Yu , Manmohan Chandraker , Kihyuk Sohn , Yichun Shi
摘要： A computer-implemented method for implementing face recognition includes receiving training data including a plurality of augmented images each corresponding to a respective one of a plurality of input images augmented by one of a plurality of variations, splitting a feature embedding generated from the training data into a plurality of sub-embeddings each associated with one of the plurality of variations, associating each of the plurality of sub-embeddings with respective ones of a plurality of confidence values, and applying a plurality of losses including a confidence-aware identification loss and a variation-decorrelation loss to the plurality of sub-embeddings and the plurality of confidence values to improve face recognition performance by learning the plurality of sub-embeddings.
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9.发明授权公开(公告)号：US11562646B2
公开(公告)日：2023-01-24
申请号：US17221836
申请日：2021-04-04
发明人： Yuheng Chen , Ming-Fang Huang , Ting Wang , Jingnan Zhao
摘要： An advance in the art is made according to aspects of the present disclosure directed to distributed fiber optic sensing systems (DFOS), methods, and structures that advantageously monitor and identify—in real-time—roadway traffic and patterns across a multiple-lane highway by employing a multiple-transverse fiber optic cable arrangement of optical fiber cable positioned under the highway/roadway to detect, monitor, and/or identify traffic.
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公开(公告)号：US11543561B2
公开(公告)日：2023-01-03
申请号：US16665307
申请日：2019-10-28
发明人： Masanao Natsumeda , Haifeng Chen
摘要： Methods and systems for preventing spacecraft damage include identifying a space weather event that corresponds to a spacecraft system failure. A spacecraft system is determined that causes the spacecraft system failure, triggered by the space weather event. A corrective action is performed on the determined spacecraft system to prevent spacecraft system failures from being triggered by future space weather events.
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