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51. 发明授权

US09131644B2 Continual crop development profiling using dynamical extended range weather forecasting with routine remotely-sensed validation imagery 有权
标题翻译：使用动态扩展范围天气预报和常规遥感验证图像进行连续作物开发剖析
公开(公告)号：US09131644B2
公开(公告)日：2015-09-15
申请号：US14463111
申请日：2014-08-19
申请人： ITERIS, INC.
发明人： Leon F. Osborne
IPC分类号： G06G7/48 , A01G7/00 , G06F17/50
CPC分类号： G01N33/0098 , A01G7/00 , G06F17/5009
摘要： A modeling framework for estimating crop growth and development over the course of an entire growing season generates a continuing profile of crop development from any point prior to and during a growing season until a crop maturity date is reached. The modeling framework applies extended range weather forecasts and remotely-sensed imagery to improve crop growth and development estimation, validation and projection. Output from the profile of crop development profile generates a combination of data for use in auxiliary farm management applications.
摘要翻译：在整个生长季节期间估算作物生长和发育的建模框架，从生长季节之前和期间的任何一个角度到作物到期日均达到持续的作物发展。建模框架应用扩展范围的天气预报和遥感影像来改善作物生长和发育估算，验证和预测。作物开发剖面图的输出生成用于辅助农场管理应用程序的数据组合。

52. 发明授权

US09098654B2 Pavement condition analysis from modeling impact of traffic characteristics, weather data and road conditions on segments of a transportation network infrastructure 有权
标题翻译：路面状况分析，从运输网络基础设施部分的交通特征，天气数据和道路状况造成的影响
公开(公告)号：US09098654B2
公开(公告)日：2015-08-04
申请号：US14294056
申请日：2014-06-02
申请人： ITERIS, INC.
发明人： John J. Mewes , Leon F. Osborne
IPC分类号： G06G7/48 , G06F17/50
CPC分类号： G06F17/5009 , Y02T10/82
摘要： A pavement condition analysis system and method models a state of a roadway by processing at least traffic and weather data to simulate the impact of traffic and weather conditions on a particular section of a transportation infrastructure. Traffic data is ingested from a plurality of different external sources to incorporate various approaches estimating traffic characteristics such as speed, flow, and incidents, into a road condition model to analyze traffic conditions on the roadway in order to improve road condition assessments and/or prediction. A road condition model applies these traffic characteristics, weather data, and other input data relevant to road conditions, accounting for heat and moisture exchanges between the road, the atmosphere, and pavement substrate(s) in a pavement's composition, as further influenced by traffic and road maintenance activities, to generate accurate and reliable simulations and predictions of pavement condition states for motorists, communication to vehicles, use by industry and public entities, and other end uses such as media distribution.
摘要翻译：道路状况分析系统和方法通过处理至少交通和天气数据来模拟道路状态，以模拟交通和天气条件对交通基础设施的特定部分的影响。交通数据从多个不同的外部来源摄入，以将估计诸如速度，流量和事件之类的交通特征的各种方法并入道路状况模型中，以分析道路上的交通状况，以改善道路状况评估和/或预测。道路状况模型应用与道路状况相关的这些交通特征，天气数据和其他输入数据，考虑道路，大气和路面构成中的路面基底之间的热交换，进一步受交通影响和道路维护活动，以便为驾驶者，与车辆的通信，工业和公共实体的使用以及其他最终用途（如媒体分发）产生准确可靠的模拟和预测路面条件状态。

53. 发明申请

US20150081196A1 TRAFFIC BOTTLENECK DETECTION AND CLASSIFICATION ON A TRANSPORTATION NETWORK GRAPH 有权
标题翻译：运输网络图上的交通瓶颈检测和分类
公开(公告)号：US20150081196A1
公开(公告)日：2015-03-19
申请号：US14490145
申请日：2014-09-18
申请人： ITERIS, INC
发明人： KARL F. PETTY , ANDREW J. MOYLAN
IPC分类号： G08G1/01 , H04L29/08
CPC分类号： G08G1/0133 , H04W4/027 , H04W4/029 , H04W4/046
摘要： Traffic congestion detection, classification and identification includes analysis of link-speed data representative of vehicular speed and capacity on one or more roadway segments to determine non-linear, multi-segment traffic bottlenecks in a transportation network graph. Link-speed data is processed to detect bottleneck conditions, classify bottlenecks and bottleneck-like traffic features according to their complexity, and identify sustained or recurring bottlenecks. Such a system and method of traffic congestion detection, classification and identification provides a framework for using this link-speed data to detect the head and queue of bottlenecks on a directed graph representing the transportation network, classify the resulting bottlenecks and bottleneck-like traffic features according to the shape of their queue, and identify and measure sustained or recurrent bottlenecks even when the location, or head, of the bottleneck varies slightly across multiple time periods or across multiple days.
摘要翻译：交通拥堵检测，分类和识别包括分析代表一个或多个道路段上的车辆速度和容量的链路速度数据，以确定交通网络图中的非线性，多段交通瓶颈。处理链路速度数据以检测瓶颈条件，根据其复杂性对瓶颈和瓶颈状流量特征进行分类，并确定持续或反复出现的瓶颈。这种交通拥堵检测，分类和识别的系统和方法提供了使用这种链路速度数据来检测表示运输网络的有向图上的瓶颈的头部和队列的框架，对所产生的瓶颈和瓶颈状的交通特征进行分类根据队列的形状，识别和测量持续或复发的瓶颈，即使瓶颈的位置或头部在多个时间段或多天内略有不同。

54. 发明申请

US20140358486A1 CONTINUAL CROP DEVELOPMENT PROFILING USING DYNAMICAL EXTENDED RANGE WEATHER FORECASTING WITH ROUTINE REMOTELY-SENSED VALIDATION IMAGERY 有权
标题翻译：使用动态延伸范围天气预测的连续作物开发剖面与日常遥感验证图像
公开(公告)号：US20140358486A1
公开(公告)日：2014-12-04
申请号：US14463111
申请日：2014-08-19
申请人： ITERIS, INC.
发明人： Leon F. Osborne
IPC分类号： G01N33/00
CPC分类号： G01N33/0098 , A01G7/00 , G06F17/5009
摘要： A modeling framework for estimating crop growth and development over the course of an entire growing season generates a continuing profile of crop development from any point prior to and during a growing season until a crop maturity date is reached. The modeling framework applies extended range weather forecasts and remotely-sensed imagery to improve crop growth and development estimation, validation and projection. Output from the profile of crop development profile generates a combination of data for use in auxiliary farm management applications.
摘要翻译：在整个生长季节期间估算作物生长和发育的建模框架，从生长季节之前和期间的任何一个角度到作物到期日均达到持续的作物发展。建模框架应用扩展范围的天气预报和遥感影像来改善作物生长和发育估算，验证和预测。作物开发剖面图的输出生成用于辅助农场管理应用程序的数据组合。

55. 发明申请

US20140222321A1 TRAFFIC STATE ESTIMATION WITH INTEGRATION OF TRAFFIC, WEATHER, INCIDENT, PAVEMENT CONDITION, AND ROADWAY OPERATIONS DATA 审中-公开
标题翻译：交通状况，交通状况，天气，事故，交通条件和道路运营数据的交通状况估计
公开(公告)号：US20140222321A1
公开(公告)日：2014-08-07
申请号：US14173611
申请日：2014-02-05
申请人： ITERIS, INC.
发明人： KARL F. PETTY , ANDREW J. MOYLAN , JAIMYOUNG KWON , JOHN J. MEWES
IPC分类号： G01C21/34
CPC分类号： G01C21/3492 , G08G1/0112 , G08G1/0116 , G08G1/012 , G08G1/0129 , G08G1/0133 , G08G1/0141 , G08G1/0145 , G08G1/04 , G08G1/096716 , G08G1/096775
摘要： An integrated traffic state estimation framework ingests information from multiple input data sources having an impact on traffic flow and correlated to specific road links in a segmented roadway network, and generates output data representative of predictive traffic states. The predictive traffic states are then modeled to generate routing information for traffic on a particular section of roadway. These multiple input data sources include general traffic data collected from one or more sensors or third parties, weather data, incident data, pavement condition data, and roadway operations data, each of which includes data relevant to traffic congestion. The input data is weighted and modeled with data processing modules configured to integrate known and predicted information to produce accurate routing information for particular roadway segments for media, telematics, and consumer uses.
摘要翻译：综合交通状况估计框架从对交通流量的影响的多个输入数据源摄取信息并与分段道路网络中的特定道路链路相关联，并且生成表示预测交通状态的输出数据。然后对预测的交通状况进行建模，以生成道路上特定部分的交通路线信息。这些多输入数据源包括从一个或多个传感器或第三方收集的一般业务数据，天气数据，事件数据，路面状况数据和道路操作数据，每个数据包括与交通拥堵有关的数据。输入数据被加权和建模，其中数据处理模块被配置成集成已知和预测的信息，以为媒体，远程信息处理和消费者使用的特定道路段产生精确的路由信息。

56. 发明申请

US20140195159A1 APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES AND STATISTICAL ENSEMBLING TO FORECAST POWER OUTPUT OF A WIND ENERGY FACILITY 审中-公开
标题翻译：人工智能和统计学应用于风力发电设备的预测功率输出
公开(公告)号：US20140195159A1
公开(公告)日：2014-07-10
申请号：US14150784
申请日：2014-01-09
申请人： ITERIS, INC.
发明人： JOHN J. MEWES , LEON F. OSBORNE
IPC分类号： G01W1/02 , G01R21/00
CPC分类号： G01W1/02 , G01R21/00 , G01W1/10
摘要： A wind energy forecasting system processes data from one or more numerical weather prediction models with power output data from a wind energy facility using artificial intelligence. This artificial intelligence is applied in one or more neural networks that produce specific power output forecasts for each numerical weather prediction model. A statistical ensembling approach is then applied to the resulting numerical weather prediction model forecasts and integrated with a persistence power output forecast to arrive at a consensus, overall forecasted power output for the wind energy facility.
摘要翻译：风能预测系统使用人工智能处理来自风能设施的功率输出数据的一个或多个数值天气预报模型的数据。这种人工智能被应用于为每个数值天气预报模型产生特定功率输出预测的一个或多个神经网络中。然后将统计合并方法应用于所得到的数值天气预报模型预测，并与持续电力输出预测相结合，以达到风能设备的共识，总体预测功率输出。

57. 发明授权

US11843961B2 Bluetooth low-energy sensor data collection device 有权
公开(公告)号：US11843961B2
公开(公告)日：2023-12-12
申请号：US17391961
申请日：2021-08-02
申请人： ITERIS, INC.
发明人： Peter Chan , Hong Chou
IPC分类号： H04W24/08 , H04B17/318
CPC分类号： H04W24/08 , H04B17/318
摘要： Systems, methods, and computer-executable instructions for collecting traffic data from devices. A data collection node determines a scanning algorithm. Multiple channels of a spectrum are scanning simultaneously. An advertising packet is detected on a channel. A MAC address is extracted from the advertising packet and at least one byte is removed from the MAC address. An identifier is created based on the reduced MAC address. A message including the identifier, RSSI of the advertising packet and timestamp is sent to a remote server. The remote server uses the received data from multiple data collection units to create traffic data associated with devices.

58. 发明申请

US20220272552A1 BLUETOOTH LOW-ENERGY SENSOR DATA COLLECTION DEVICE 有权
公开(公告)号：US20220272552A1
公开(公告)日：2022-08-25
申请号：US17391961
申请日：2021-08-02
申请人： ITERIS, INC.
发明人： PETER CHAN , HONG CHOU
IPC分类号： H04W24/08 , H04B17/318
摘要： Systems, methods, and computer-executable instructions for collecting traffic data from devices. A data collection node determines a scanning algorithm. Multiple channels of a spectrum are scanning simultaneously. An advertising packet is detected on a channel. A MAC address is extracted from the advertising packet and at least one byte is removed from the MAC address. An identifier is created based on the reduced MAC address. A message including the identifier, RSSI of the advertising packet and timestamp is sent to a remote server. The remote server uses the received data from multiple data collection units to create traffic data associated with devices.

59. 发明授权

US10255390B2 Prediction of in-field dry-down of a mature small grain, coarse grain, or oilseed crop using field-level analysis and forecasting of weather conditions and crop characteristics including sampled moisture content 有权
公开(公告)号：US10255390B2
公开(公告)日：2019-04-09
申请号：US15345843
申请日：2016-11-08
申请人： ITERIS, INC.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06N20/00 , G06F17/50 , A01B79/00 , A01D91/00 , A01G25/16 , G06N99/00 , G05B13/04 , G06Q50/02 , A01F12/58 , G01W1/10 , G06N5/04 , A01G22/00 , A01F25/22
摘要： A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyzes.

60. 发明授权

US09824423B1 Data overlay for animated map traffic display and method of rapidly loading animated raster data 有权
公开(公告)号：US09824423B1
公开(公告)日：2017-11-21
申请号：US15652333
申请日：2017-07-18
申请人： ITERIS, INC.
发明人： Eric Dean Kjeldergaard , Leif Pedersen , Robert H. Bergman
IPC分类号： G09B29/00 , G06T3/40 , G01C21/36 , G06T17/05 , G09G5/14 , H04W4/00
CPC分类号： G06T3/40 , G01C21/367 , G01C21/3691 , G06T17/05 , G06T2210/08 , G06T2210/36 , G09B29/003 , G09G5/14 , G09G2340/04 , G09G2340/045 , G09G2340/12 , G09G2350/00 , H04W4/00
摘要： A data visualization technique rapidly loads images to decrease data transfer time and associated bandwidth cost for animation effects in displays of data, and includes initially loading raster imagery at a coarser zoom level than a current view on the display, and then manipulating the imagery using general-purpose image manipulation algorithms to interpolate data points as a user adjusts the zoom level. In this manner, the data visualization technique intentionally displays a coarser view than that selected, rather than transferring entirely new imagery or datasets, and manipulates the imagery as necessary to avoid loading more data from a remote server to the local client each time the user adjusts the view.

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