公开(公告)号：US09781809B2

公开(公告)日：2017-10-03

申请号：US14683420

申请日：2015-04-10

Applicant: Google Inc.

Inventor： Kenneth Louis Herman ,  Bryan James ,  Yash Modi ,  Laura Rabb ,  Michael Lammers ,  Aveek Ravishekhar Purohit ,  Michael Dixon ,  Shankaranand Swaminathan Iyer

IPC: H05B37/02 ,  H05B33/08

CPC classification number: H05B37/0218 ,  H05B33/0854 ,  H05B37/0227 ,  Y02B20/44

Abstract: A system and method for automatic path light control based on a detected size and classification of motion around the device using passive infrared (PIR) sensor technologies and distributed classification algorithms, and on detected light levels in and around the path area using ambient light sensor (ALS) technologies. By using such sensor data, the path light does not need to be maintained at a fixed value, which may be inadequate or inefficient at times, nor require constant user adjustments. Implementations of the disclosed subject matter enable automatic path light control that can be dynamic and automatically adjusted to fit the environment, the current user characteristics and the current user movements through the environment.

公开(公告)号：US20160299256A1

公开(公告)日：2016-10-13

申请号：US14683769

申请日：2015-04-10

Applicant: Google Inc.

Inventor： Yash Modi ,  Kenneth Louis Herman ,  Laura Rabb ,  Michael Lammers ,  Bryan James ,  Kevin Charles Peterson ,  Mark Rajan Malhotra

IPC: G01W1/10 ,  G01C21/28 ,  G01V1/30

CPC classification number: G01W1/10 ,  G01V1/30

Abstract: A system and method is provided for the control of a network of devices wherein each device of the networked devices provides for the operation of a sensor such as an accelerometer, processor and communication element within each device, and network and/or cloud based processing and storage, to process collected data to permit detection and predictive analysis of traffic patterns, weather patterns and other forces of nature. The system and method can analyze duration and magnitude of vibration signals, and considering maps and known locations of devices, tracks and highways and historical data regarding each, use machine learning techniques to accurately classify the motion and provide real-time and predictive analysis.

Abstract translation: 提供了一种用于控制设备网络的系统和方法，其中网络设备的每个设备提供诸如每个设备内的加速度计，处理器和通信元件等传感器的操作，以及基于网络和/或基于云的处理和 存储，处理收集的数据，以允许对交通模式，天气模式和其他自然力量的检测和预测分析。 该系统和方法可以分析振动信号的持续时间和幅度，并考虑设备，轨道和高速公路的地图和已知位置以及与之相关的历史数据，使用机器学习技术准确分类运动并提供实时和预测分析。

公开(公告)号：US20160302284A1

公开(公告)日：2016-10-13

申请号：US14683420

申请日：2015-04-10

Applicant: Google Inc.

Inventor： Kenneth Louis Herman ,  Bryan James ,  Yash Modi ,  Laura Rabb ,  Michael Lammers ,  Aveek Ravishekhar Purohit ,  Michael Dixon ,  Shankar Iyer

IPC: H05B37/02 ,  H05B33/08

CPC classification number: H05B37/0218 ,  H05B33/0854 ,  H05B37/0227 ,  Y02B20/44

Abstract: A system and method for automatic path light control based on a detected size and classification of motion around the device using passive infrared (PIR) sensor technologies and distributed classification algorithms, and on detected light levels in and around the path area using ambient light sensor (ALS) technologies. By using such sensor data, the path light does not need to be maintained at a fixed value, which may be inadequate or inefficient at times, nor require constant user adjustments. Implementations of the disclosed subject matter enable automatic path light control that can be dynamic and automatically adjusted to fit the environment, the current user characteristics and the current user movements through the environment.

Abstract translation: 基于使用被动红外（PIR）传感器技术和分布式分类算法的检测到的设备周围运动的尺寸和分类的自动路径光控制的系统和方法，以及使用环境光传感器（） ALS）技术。 通过使用这样的传感器数据，路径光不需要保持在固定值，有时可能不足够或低效，也不需要持续的用户调整。 所公开的主题的实现使自动路径光控制能够被动态地和自动地调整以适应环境，当前用户特征和当前用户通过环境的移动。

公开(公告)号：US10012766B2

公开(公告)日：2018-07-03

申请号：US14683769

申请日：2015-04-10

Applicant: Google Inc.

Inventor： Yash Modi ,  Kenneth Louis Herman ,  Laura Rabb ,  Michael Lammers ,  Bryan James ,  Kevin Charles Peterson ,  Mark Rajan Malhotra

IPC: G01B3/00 ,  G01B5/00 ,  G01W1/10 ,  G01V1/30

CPC classification number: G01W1/10 ,  G01V1/30

Abstract: A system and method is provided for the control of a network of devices wherein each device of the networked devices provides for the operation of a sensor such as an accelerometer, processor and communication element within each device, and network and/or cloud based processing and storage, to process collected data to permit detection and predictive analysis of traffic patterns, weather patterns and other forces of nature. The system and method can analyze duration and magnitude of vibration signals, and considering maps and known locations of devices, tracks and highways and historical data regarding each, use machine learning techniques to accurately classify the motion and provide real-time and predictive analysis.