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公开(公告)号：US20250148911A1
公开(公告)日：2025-05-08
申请号：US18933054
申请日：2024-10-31
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Francesco Pittaluga , Bingbing Zhuang , Wei-Jer Chang
IPC: G08G1/0967 , G06N20/00 , G08G1/01 , G08G1/16
Abstract: Methods and systems include determining actions for agents in a driving scenario using a diffusion model, based on individual controllable behavior patterns for the agents. A state of the driving scenario is updated based on the determined actions for the plurality of agents. The determination of actions and the update of the state are repeated in a closed-loop fashion to generate simulated trajectories for the plurality of agents. A planner model is trained to select actions for an operating agent based on the simulated trajectories.
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公开(公告)号：US20250148736A1
公开(公告)日：2025-05-08
申请号：US18924258
申请日：2024-10-23
Applicant: NEC Laboratories America, Inc.
Inventor： Bingbing Zhuang , Ziyu Jiang , Manmohan Chandraker , Shanlin Sun
Abstract: A computer-implemented method for synthesizing an image includes extracting agent neural radiance fields (NeRFs) from driving video logs and storing agent NeRFs in a database. For a driving video log to be edited, a scene NeRF and agent NeRFs are extracted from the driving video log to be edited. One or more agent NeRFs are selected from the database to insert into or replace existing agents in a traffic scene of the driving video log based on photorealism criteria. The traffic scene is edited by inserting a selected agent NeRF into the traffic scene, replacing existing agents in the traffic scene with the selected agent NeRF, or removing one or more existing agents from the traffic scene. An image of the edited traffic scene is synthesized by composing edited agent NeRFs with the scene NeRF and performing volume rendering.
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公开(公告)号：US20250148624A1
公开(公告)日：2025-05-08
申请号：US18934512
申请日：2024-11-01
Applicant: NEC Laboratories America, Inc.
Inventor： Deep Patel , Iain Melvin , Alexandru Niculescu-Mizil
Abstract: Systems and methods for a multi-entity tracking transformer model (MCTR). To train the MCTR, processing track embeddings and detection embeddings of video feeds obtained from multiple cameras to generate updated track embeddings with a tracking module. The updated track embeddings can be associated with the detection embeddings to generate track-detection associations (TDA) for each camera view and camera frame with an association module. A cost module can calculate a differentiable loss from the TDA by combining a detection loss, a track loss and an auxiliary track loss. A model trainer can train the MCTR using the differentiable loss and contiguous video segments sampled from a training dataset to track multiple objects with multiple cameras.
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公开(公告)号：US20250148294A1
公开(公告)日：2025-05-08
申请号：US18922807
申请日：2024-10-22
Applicant: NEC Laboratories America, Inc.
Inventor： Philip Ji , Shaobo Han , Ting Wang
Abstract: Systems and methods include calibrating physical parameters of acoustic data using a deterministic model related to hardware configurations that generated the acoustic data to provide an intermediate layer of data. The intermediate layer of data is then calibrated using environmental factors related to the acoustic data by employing machine learning to provide a multichannel data output. A loss is optimized between the multichannel data output and multichannel distributed-optic fiber sensing (DFOS) data to train a hybrid transfer model to translate between DFOS data and acoustic data.
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公开(公告)号：US20250148293A1
公开(公告)日：2025-05-08
申请号：US18934676
申请日：2024-11-01
Applicant: NEC Laboratories America, Inc.
Inventor： Junxiang Wang , Wei Cheng , Haifeng Chen
IPC: G06N3/094
Abstract: Methods and systems include adapting an initial prompt to a target domain corresponding to an input time series to generate an adapted prompt. The adapted prompt and the input time series are combined. The input time series is processed with the adapted prompt using a modular transformer encoder that has a plurality of sub-encoders, with a policy network selecting a subset of the plurality of encoders that are applied to the input time series and the adapted prompt.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20250148281A1
公开(公告)日：2025-05-08
申请号：US18909467
申请日：2024-10-08
Applicant: NEC Laboratories America, Inc.
Inventor： Shaobo Han , Tingfeng Li , Renqiang Min
IPC: G06N3/08
Abstract: Systems and methods include collecting real-world distributed-optic fiber sensing (DFOS) sensing data from a target environment as a reference dataset. A synthetic sketch dataset is constructed as a parameterized computer program. A synthetic waterfall is generated from a deep neural network as an image translator from the sketch waterfall with nonlinear distortions and background noises added. Parameters are optimized for generating the synthetic waterfall under a loss function where the loss function encodes a generalization performance on the real-world dataset and encodes granularities from a sensing process and uncontrollable factors.
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公开(公告)号：US20250146863A1
公开(公告)日：2025-05-08
申请号：US18930454
申请日：2024-10-29
Applicant: NEC Laboratories America, Inc.
Inventor： Jian Fang , Wataru Kohno , Ting Wang
IPC: G01H9/00
Abstract: Methods and systems for acoustic sensing include determining sensing locations along a fiber to generate a beam pattern that is directed to an acoustic source. An optical pulse is transmitted on the fiber. Optical phase of backscattering light is measured from the sensing locations on the fiber. An output signal is generated by combining the measured optical phase according to the beam pattern.
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公开(公告)号：US20250146862A1
公开(公告)日：2025-05-08
申请号：US18924340
申请日：2024-10-23
Applicant: NEC Laboratories America, Inc.
Inventor： Ming-Fang Huang , Ting Wang
IPC: G01H9/00 , G01D5/353 , H04B10/079
Abstract: Systems and methods for cable inspection using optical fiber sensing includes a hardware processor and a memory storing a computer program which, when executed by the hardware processor, causes the hardware processor to collect data from a fiber optic cable and analyze the data with a distributed fiber optic sensing (DFOS) system. Losses and anomalies and their locations are identified in the cable. An alert is generated based on the losses and anomalies.
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公开(公告)号：US20250145176A1
公开(公告)日：2025-05-08
申请号：US18934817
申请日：2024-11-01
Applicant: NEC Laboratories America, Inc.
Inventor： Manmohan Chandraker , Francesco Pittaluga , Vijay Kumar Baikampady Gopalkrishna , Sharan Satish Prema
Abstract: Methods and systems for operating a vehicle include prompting a large language model LLM to generate parameters for a rule-based planner based on historical data for vehicles in a road scene. A trajectory is generated using the parameters. A driving action is performed to implement the trajectory.
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公开(公告)号：US20250130349A1
公开(公告)日：2025-04-24
申请号：US18901719
申请日：2024-09-30
Applicant: NEC Laboratories America, Inc.
Inventor： Zhuocheng JIANG , Yangmin DING , Yue TIAN , Sarper OZHARAR , Ting WANG , Yanchao Wang
Abstract: Disclosed are systems, methods, and structures that provide superior DFOS rain intensity measurements and introduce a universal solution for rain intensity detection based on the data collected by distributed acoustic sensing (DAS) technology and a designed domain generalization method. As a result, systems and methods according to the present disclosure distinguish the rain intensity of a large area through which the fiber optic cables traverse and address the domain shift issue, by employing a domain generalization technique based on machine learning technology in which newly collected target domain inference data may be distributed differently from the previously captured training source domain data. To generalize the trained model to different target domains, source domain distributions are enriched by disturbing the distribution in the frequency domain. Algorithms specifically designed to transfer the noise pattern under ambient noise environments are used to further augment the source domain distributions.
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