公开(公告)号：US20240154784A1

公开(公告)日：2024-05-09

申请号：US18498677

申请日：2023-10-31

Applicant: NEC Laboratories America, Inc.

Inventor： Francesco Pittaluga ,  Xiang Yu ,  Salman Khan

IPC: H04L9/00 ,  G06F21/60 ,  G06V40/16 ,  H04L9/08 ,  H04N25/10

CPC classification number: H04L9/002 ,  G06F21/602 ,  G06V40/172 ,  H04L9/0869 ,  H04N25/10

Abstract: An optical encryption camera includes a sensor array and a filter positioned over the sensor array to receive light prior to the sensor array. The filter includes a multiplexing mask and a scaling mask in sequence. The multiplexing mask and the scaling mask combine to provide an encryption key to encrypt image data prior to capture.

公开(公告)号：US11816901B2

公开(公告)日：2023-11-14

申请号：US17187157

申请日：2021-02-26

Applicant: NEC Laboratories America, Inc.

Inventor： Sriram Nochur Narayanan ,  Buyu Liu ,  Ramin Moslemi ,  Francesco Pittaluga ,  Manmohan Chandraker

IPC: G06V20/56 ,  B60W60/00 ,  G06N3/08 ,  G06F18/214 ,  B60W30/095 ,  G06V10/82

CPC classification number: G06V20/56 ,  B60W30/0953 ,  B60W30/0956 ,  B60W60/0027 ,  G06F18/214 ,  G06N3/08 ,  G06V10/82 ,  B60W2420/42 ,  B60W2554/4045

Abstract: Methods and systems for training a trajectory prediction model and performing a vehicle maneuver include encoding a set of training data to generate encoded training vectors, where the training data includes trajectory information for agents over time. Trajectory scenarios are simulated based on the encoded training vectors, with each simulated trajectory scenario representing one or more agents with respective agent trajectories, to generate simulated training data. A predictive neural network model is trained using the simulated training data to generate predicted trajectory scenarios based on a detected scene.

公开(公告)号：US20210276547A1

公开(公告)日：2021-09-09

申请号：US17187157

申请日：2021-02-26

Applicant: NEC Laboratories America, Inc.

Inventor： Sriram Nochur Narayanan ,  Buyu Liu ,  Ramin Moslemi ,  Francesco Pittaluga ,  Manmohan Chandraker

IPC: B60W30/095 ,  B60W60/00 ,  G06K9/62 ,  G06N3/08 ,  G06K9/00

Abstract: Methods and systems for training a trajectory prediction model and performing a vehicle maneuver include encoding a set of training data to generate encoded training vectors, where the training data includes trajectory information for agents over time. Trajectory scenarios are simulated based on the encoded training vectors, with each simulated trajectory scenario representing one or more agents with respective agent trajectories, to generate simulated training data. A predictive neural network model is trained using the simulated training data to generate predicted trajectory scenarios based on a detected scene.