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公开(公告)号：US11620901B1
公开(公告)日：2023-04-04
申请号：US17831361
申请日：2022-06-02
申请人： ITERIS, INC.
摘要： A framework for modeling traffic speed in a transportation network analyzes both the spatial and temporal dependencies in probe-based traffic speeds, historical weather data, and forecasted weather data, using multiple machine learning models. A decentralized partial least squares (PLS) regression model predicts short-term speed using localized, historical probe-based traffic data, and a deep learning model applies the predicted short-term speed to further estimate traffic speed at specified times and at specific locations in the transportation network for predicting traffic bottlenecks and other future traffic states.
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公开(公告)号：US10388153B1
公开(公告)日：2019-08-20
申请号：US16430432
申请日：2019-06-04
申请人： ITERIS, INC.
发明人： Dilip Swaminathan , Manu P. Jain , Yan Gao , Todd W. Kreter , Michael T. Whiting
摘要： A framework for precision traffic analysis combines traffic sensor data from multiple sensor types, combining the strengths of each sensor type within various conditions in an intersection or roadway in which traffic activity occurs. The framework calibrates coordinate systems in images taken of the same area by multiple sensors, so that fields of view from one sensor system are transposed onto fields of view from other sensor systems to fuse the images taken into a combined detection zone, and so that objects are properly detected and classified for enhanced traffic signal control.
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公开(公告)号：US10311719B1
公开(公告)日：2019-06-04
申请号：US16201952
申请日：2018-11-27
申请人： ITERIS, INC.
发明人： Dilip Swaminathan , Manu P. Jain , Yan Gao , Todd W. Kreter , Michael T. Whiting
摘要： A framework for precision traffic analysis combines traffic sensor data from multiple sensor types, combining the strengths of each sensor type within various conditions in an intersection or roadway in which traffic activity occurs. The framework calibrates coordinate systems in images taken of the same area by multiple sensors, so that fields of view from one sensor system are transposed onto fields of view from other sensor systems to fuse the images taken into a combined detection zone, and so that objects are properly detected and classified for enhanced traffic signal control.
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公开(公告)号：US20180027145A1
公开(公告)日：2018-01-25
申请号：US15659442
申请日：2017-07-25
申请人： ITERIS, INC.
CPC分类号： G06K9/0063 , G06T5/002 , G06T11/60 , H04N1/3873
摘要： Detection and identification a field's boundaries is performed in a workflow based on processing images of the field captured at different times, relative to a defined seed point. Images are clipped to align with the seed point and a bounding box around the seed point, and a mask is built by extracting edges of the field from the images. The workflow floods an area around the seed point that has pixels of a similar color, using the mask as an initial boundary. The flooded area is compared to threshold parameter values, which are tuned to refine the identified boundary. Flooded areas in multiple images are combined, and a boundary is built based on the combined flooded set. Manual, interactive tuning of floodfill areas allows for a separate boundary detection and identification workflow or for refinement of the automatic boundary detection workflow.
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5.发明授权公开(公告)号：US09710882B2
公开(公告)日：2017-07-18
申请号：US14315217
申请日：2014-06-25
申请人： ITERIS, INC.
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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6.发明授权Measurement and modeling of salinity contamination of soil and soil-water systems from oil and gas production activities 有权石油和天然气生产活动对土壤和土壤 - 水系统的盐度污染的测量和建模公开(公告)号：US09579700B2
公开(公告)日：2017-02-28
申请号：US14725139
申请日：2015-05-29
申请人： ITERIS, INC.
发明人： Leon F. Osborne
CPC分类号： B09C1/002
摘要： An analytical framework and modeling process for assessing salinity contamination of soil ecosystems in geographical areas related to oil and gas production sites combines detection and monitoring of unplanned saltwater releases from such production activities with soil impact prediction. The analytical framework and modeling process enables an assessment of risks associated with saltwater disposal from drilling operations to the surrounding environment and the impact on soils, aquifers, rangeland, cropland, and adjoining areas by monitoring water movement and other soil conditions, and generating predictive output data for landowners, farmers, oil and gas production site operators, governmental regulators, and other end users for contamination mitigation and agricultural activities.
摘要翻译： 用于评估与油气生产现场有关的地理区域土壤生态系统的盐分污染的分析框架和建模过程将检测和监测这些生产活动中的计划外盐水释放与土壤影响预测相结合。 分析框架和建模过程能够通过监测水的运动和其他土壤条件来评估从钻井作业到周围环境的盐水处理相关风险以及对土壤，含水层，牧场，农田和邻近地区的影响，并产生预测产出 为土地所有者，农民，石油和天然气生产现场运营商，政府监管机构和其他终端用户提供减少污染和农业活动的数据。
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7.发明授权Assessment of moisture content of stored crop, and modeling usage of in-bin drying to control moisture level based on anticipated atmospheric conditions and forecast time periods of energy usage to achieve desired rate of grain moisture change through forced-air ventilation 有权评估储存的作物的水分含量，以及根据预期的大气条件和能量使用的预测时间段来控制水分含量的模型使用，以通过强制通风来达到所需的谷物湿度变化率公开(公告)号：US09518753B2
公开(公告)日：2016-12-13
申请号：US14842853
申请日：2015-09-02
申请人： ITERIS, INC.
发明人： John J. Mewes , Dustin M. Salentiny
IPC分类号： G06N99/00 , F24F11/00 , A01B79/00 , A01G25/16 , A01G1/00 , G05B13/04 , G06Q50/02 , A01D91/00 , A01F25/22
CPC分类号： G06F17/5009 , A01B79/005 , A01D91/00 , A01F12/58 , A01F25/22 , A01G22/00 , A01G25/167 , G01W1/10 , G05B13/048 , G06N5/04 , G06N99/00 , G06Q50/02 , Y02A40/12 , Y02A90/14
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 analyses.
摘要翻译： 用于评估天气条件对农业和收获作业的影响的建模框架适用于实时，现场一级的天气数据和气象和气候条件的预测，以及用户提供和/或观察到的收获现状状况的反馈， 农业模式的相关条件，并为精确农业产生多个收获咨询产出。 收获咨询模型模拟并预测了这种天气信息和用户提供的和/或观察到的反馈对精准农业的一种或多种物理，经验或人工智能模型的影响，以分析作物，植物，土壤和所产生的农产品， 并为诊断支持工具提供收获咨询产出，以便用户通过提供前期，后期或现场采伐作业和作物分析来加强农业和收获决策。
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8.发明申请SIMULATION OF SOIL CONDITION RESPONSE TO EXPECTED WEATHER CONDITIONS FOR FORECASTING TEMPORAL OPPORTUNITY WINDOWS FOR SUITABILITY OF AGRICULTURAL AND FIELD OPERATIONS 审中-公开模拟土壤条件对预测农业和田间作业适用性的时间性机会的预期天气条件的反应公开(公告)号：US20160247076A1
公开(公告)日：2016-08-25
申请号：US15049047
申请日：2016-02-20
申请人： ITERIS, INC.
发明人： JOHN J. MEWES , DUSTIN M. SALENTINY
摘要： A framework for diagnosing and predicting a suitability of soil conditions to various agricultural operations is performed in a combined, multi-part approach for simulating relationships between predictive data and observable outcomes. The framework includes analyzing one or more factors relevant to field trafficability, workability, and suitability for agricultural operations due to the effects of freezing and thawing cycles, and developing artificial intelligence systems to learn relationships between datasets to produce improved indications of trafficability, workability, and forecasts of suitability windows for a particular user, user community, farm, farm group, field, or equipment. The framework also includes a real-time feedback mechanism by which a user can validate or correct these indications and forecasts. The framework may further be configured to override one or more of the soil state assessments to ensure that indicators and forecasts are consistent with the recently-provided feedback.
摘要翻译： 用于诊断和预测土壤条件适用于各种农业操作的框架是以组合的多部分方法进行的，用于模拟预测数据与可观察结果之间的关系。 该框架包括分析与现场可交通性，可操作性以及由于冷冻和解冻周期的影响而适用于农业操作的一个或多个因素，以及开发人工智能系统来学习数据集之间的关系，以产生交通性，可操作性和 对特定用户，用户社区，农场，农场组织，场地或设备的适用性窗口的预测。 该框架还包括实时反馈机制，用户可以通过该机制验证或纠正这些指示和预测。 该框架可以进一步配置为覆盖一个或多个土壤状态评估，以确保指标和预测与最近提供的反馈一致。
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9.发明授权Continual crop development profiling using dynamical extended range weather forecasting with routine remotely-sensed validation imagery 有权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
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。
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10.发明授权Pavement condition analysis from modeling impact of traffic characteristics, weather data and road conditions on segments of a transportation network infrastructure 有权路面状况分析，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
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。
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