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11 条记录 (耗时 0.011 秒)

    DEVICE FOR A VEHICLE
    1.
    发明公开
    DEVICE FOR A VEHICLE 审中-公开

    公开(公告)号：EP4015335A1

    公开(公告)日：2022-06-22

    申请号：EP21194835.1

    申请日：2021-09-03

    申请人： INTEL Corporation

    发明人： MOUSTAFA, Hassnaa ,  FERZLI, Rony ,  CHATTOPADHYAY, Rita

    IPC分类号： B60W60/00 ,  G06F13/40 ,  G06F13/42 ,  H04L1/00 ,  B60W50/00 ,  G01D3/08 ,  G01D21/00 ,  G06N20/00

    摘要： A device for a vehicle may include a first wireline interface configured to receive a first data stream from a first sensor having a first sensor type for perceiving a surrounding of the vehicle, the first data stream including raw sensor data detected by the first sensor; a second wireline interface configured to receive a second data stream from a second sensor having a second sensor type for perceiving the surrounding of the vehicle, the second data stream including raw sensor data detected by the second sensor; one or more processors configured to generate a coded packet including the received first data stream and the received second data stream by employing vector packet coding on the first data stream and the second data stream; and an output wireline interface configured to transmit the generated coded packet to one or more target units of the vehicle.

    INTELLIGENT AND ADAPTIVE MULTI-MODAL REAL-TIME SIMULTANEOUS LOCALIZATION AND MAPPING BASED ON LIGHT DETECTION AND RANGING AND CAMERA OR IMAGE SENSORS
    2.
    发明公开
    INTELLIGENT AND ADAPTIVE MULTI-MODAL REAL-TIME SIMULTANEOUS LOCALIZATION AND MAPPING BASED ON LIGHT DETECTION AND RANGING AND CAMERA OR IMAGE SENSORS 审中-公开

    公开(公告)号：EP4369044A1

    公开(公告)日：2024-05-15

    申请号：EP23183021.7

    申请日：2023-07-03

    申请人： INTEL Corporation

    发明人： CHATTOPADHYAY, Rita ,  HAGHIGHIPANAH, Mohammad

    IPC分类号： G01S17/86 ,  G01S17/89 ,  G06F18/25

    CPC分类号： G01S17/86 ,  G01S17/89

    摘要： A method for motion tracking is provided including receive first data, receive second data, transform the second data to generate transformed second data corresponding to the first frame; determine a first weighting factor for the first data and a second weighting factor for the transformed second data; weight the first data using the first weighting factor to generate first weighted data; weight the transformed second data using the second weighting factor to generate second weighted data; and combine the weighted first data and the weighted second data to generate combined image data. The first data include a first frame of a first scene of an environment detected by a camera or image sensor. The second data include a second frame of a second scene of an environment detected by a light detection and ranging (LIDAR) sensor. At least a subset of the second scene corresponds to the first scene.

    SYSTEM FOR DETERMINING SCALING IN A BOILER
    7.
    发明公开
    SYSTEM FOR DETERMINING SCALING IN A BOILER 审中-公开
    确定锅炉结垢的系统

    公开(公告)号：EP3183510A1

    公开(公告)日：2017-06-28

    申请号：EP15833350.0

    申请日：2015-06-10

    申请人： Intel Corporation

    发明人： CHATTOPADHYAY, Rita ,  VAN, Hoang T. ,  RYAN, Trevor ,  HOUGH, Paul F.

    IPC分类号： F24H9/20 ,  F24H1/20

    CPC分类号： F22B37/38 ,  F22B1/284 ,  G01M99/00

    摘要： The present disclosure is directed to a system for determining scaling in a boiler. At least one sensor may monitor a boiler during operation and provide sensor data to a boiler monitoring module including a boiler scaling determination module that may determine an amount of scaling in the boiler. Example sensor data may comprise power input, a temperature of liquid in the boiler and an air temperature within an enclosure housing the boiler. The boiler monitoring module may determine thermal energy transfer to the boiler based on the liquid and enclosure temperatures. A machine learning engine may determine a rate of thermal energy transfer to the liquid in view of the power input, the rate of thermal energy transfer being evaluated by the machine learning engine to identify delay in the rate of thermal energy transfer that quantifies an amount of scaling in the boiler.

    摘要翻译： 本公开涉及用于确定锅炉中的缩放的系统。 至少一个传感器可以在操作期间监测锅炉并将传感器数据提供给包括锅炉标定确定模块的锅炉监测模块，所述锅炉标定确定模块可以确定锅炉中的结垢量。 示例性传感器数据可以包括功率输入，锅炉中的液体温度以及容纳锅炉的外壳内的空气温度。 锅炉监测模块可以基于液体和外壳温度来确定向锅炉的热能传递。 机器学习引擎可以根据功率输入来确定热量传递给液体的速率，机器学习引擎评估热能传递的速率以识别热量传递速率中的延迟，其量化 在锅炉中缩放。

    PATH PLANNING SYSTEM AND METHOD WITH INTELLIGENT SAMPLING AND TWO-WAY SEARCH (ITS)
    8.
    发明公开
    PATH PLANNING SYSTEM AND METHOD WITH INTELLIGENT SAMPLING AND TWO-WAY SEARCH (ITS) 审中-公开

    公开(公告)号：EP4174609A1

    公开(公告)日：2023-05-03

    申请号：EP22180910.6

    申请日：2022-06-24

    申请人： INTEL Corporation

    发明人： HAGHIGHIPANAH, Mohammad ,  CHATTOPADHYAY, Rita

    IPC分类号： G05D1/02

    摘要： 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.

    TECHNOLOGIES FOR AUTONOMOUS DRIVING QUALITY OF SERVICE DETERMINATION AND COMMUNICATION
    9.
    发明公开
    TECHNOLOGIES FOR AUTONOMOUS DRIVING QUALITY OF SERVICE DETERMINATION AND COMMUNICATION 审中-公开

    公开(公告)号：EP3628973A1

    公开(公告)日：2020-04-01

    申请号：EP19183095.9

    申请日：2019-06-28

    申请人： INTEL Corporation

    发明人： GALAN-OLIVERAS, Magdiel F. ,  CHATTOPADHYAY, Rita ,  ANANDARAJ, Subramanian

    IPC分类号： G01C21/34

    摘要： 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.