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公开(公告)号：US20130198197A1
公开(公告)日：2013-08-01
申请号：US13484520
申请日：2012-05-31
Applicant: HARPREET SINGH SAWHNEY , JAYAKRISHNAN ELEDATH , AJAY DIVAKARAN , MAYANK BANSAL , HUI CHENG
Inventor： HARPREET SINGH SAWHNEY , JAYAKRISHNAN ELEDATH , AJAY DIVAKARAN , MAYANK BANSAL , HUI CHENG
IPC: G06F17/30
CPC classification number: G06F17/2785 , G06F17/30047 , G06F17/30867 , G06F17/3087
Abstract: A computer-implemented method comprising collecting data from a plurality of information sources, identifying a geographic location associated with the data and forming a corresponding event according to the geographic location, correlating the data and the event with one or more topics based at least partly on the identified geographic location and storing the correlated data and event and inferring the associated geographic location if the data does not comprise explicit location information, including matching the data against a database of geo-referenced data.
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公开(公告)号：US09053194B2
公开(公告)日：2015-06-09
申请号：US13484520
申请日：2012-05-31
Applicant: Harpreet Singh Sawhney , Jayakrishnan Eledath , Ajay Divakaran , Mayank Bansal , Hui Cheng
Inventor： Harpreet Singh Sawhney , Jayakrishnan Eledath , Ajay Divakaran , Mayank Bansal , Hui Cheng
IPC: G06F17/30
CPC classification number: G06F17/2785 , G06F17/30047 , G06F17/30867 , G06F17/3087
Abstract: A computer-implemented method comprising collecting data from a plurality of information sources, identifying a geographic location associated with the data and forming a corresponding event according to the geographic location, correlating the data and the event with one or more topics based at least partly on the identified geographic location and storing the correlated data and event and inferring the associated geographic location if the data does not comprise explicit location information, including matching the data against a database of geo-referenced data.
Abstract translation: 一种计算机实现的方法，包括从多个信息源收集数据，识别与所述数据相关联的地理位置并根据所述地理位置形成对应的事件，至少部分地基于所述数据和所述事件与一个或多个主题相关联 所识别的地理位置并存储相关数据和事件，并且如果数据不包括显式位置信息，则推断相关联的地理位置，包括将数据与地理参考数据的数据库进行匹配。
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3.发明授权Apparatus and method for object detection and tracking and roadway awareness using stereo cameras 有权使用立体相机的物体检测和跟踪和道路感知的装置和方法公开(公告)号：US08108119B2
公开(公告)日：2012-01-31
申请号：US11739068
申请日：2007-04-23
Applicant: John Benjamin Southall , Mayank Bansal , Aastha Jain , Manish Kumar , Theodore Armand Camus , Aveek Kumar Das , John Richard Fields , Gary Alan Greene , Jayakrishnan Eledath
Inventor： John Benjamin Southall , Mayank Bansal , Aastha Jain , Manish Kumar , Theodore Armand Camus , Aveek Kumar Das , John Richard Fields , Gary Alan Greene , Jayakrishnan Eledath
IPC: B60T7/12
CPC classification number: G06K9/00825 , B60T7/22 , B60T2201/089 , B60W30/08 , B60W30/095 , B60W30/16 , B60W2420/403 , G06K9/00201 , G06K9/00798 , G06K9/00805 , G06T7/285 , G06T7/593 , G08G1/167
Abstract: The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control. The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle. Information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.
Abstract translation: 本发明提供一种采用立体视觉应用的自适应车辆控制的防撞装置和方法。 立体视觉应用包括道路检测功能和车辆检测和跟踪功能。 道路检测功能利用从立体图像数据计算的三维点数据来定位主车辆前方的路面。 由道路检测功能收集的信息用于引导车辆检测和跟踪功能，该功能将前导运动数据提供给防撞装置的车辆控制系统。 与道路检测功能类似，通过车辆检测和跟踪功能使用立体图像数据来确定图像场景特征的深度，从而提供用于识别主车辆的前进方向上的潜在的先导车辆的鲁棒手段。
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4.发明授权公开(公告)号：US08861842B2
公开(公告)日：2014-10-14
申请号：US13022118
申请日：2011-02-07
Applicant: Sang-Hack Jung , Mayank Bansal , Bogdan Calin Mihai Matei , Jayan Eledath , Harpreet Singh Sawhney , Rakesh Kumar , Raia Hadsell
Inventor： Sang-Hack Jung , Mayank Bansal , Bogdan Calin Mihai Matei , Jayan Eledath , Harpreet Singh Sawhney , Rakesh Kumar , Raia Hadsell
IPC: G06K9/00
CPC classification number: G06K9/00805 , G06K9/00369
Abstract: A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle is disclosed. Imagery of a scene is received from at least one image capturing device. A depth map is derived from the imagery. A plurality of pedestrian candidate regions of interest (ROIs) is detected from the depth map by matching each of the plurality of ROIs with a 3D human shape model. At least a portion of the candidate ROIs is classified by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle.
Abstract translation: 公开了一种用于检测车辆附近的一个或多个行人的存在的计算机实现方法。 从至少一个图像捕获装置接收场景的图像。 从图像中导出深度图。 通过将多个ROI中的每一个与3D人体形状模型进行匹配，从深度图检测多个行人候选区域（ROI）。 候选ROI的至少一部分通过采用针对多个深度带调谐的分级器级联进行分类，并且针对候选ROI部分内的数据的滤波表示进行训练，以确定至少一个行人是否靠近车辆。
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5.发明申请公开(公告)号：US20110255741A1
公开(公告)日：2011-10-20
申请号：US13022118
申请日：2011-02-07
Applicant: Sang-Hack Jung , Mayank Bansal , Bogdan Calin Mihai Matei , Jayan Eledath , Harpreet Singh Sawhney , Rakesh Kumar , Raia Hadsell
Inventor： Sang-Hack Jung , Mayank Bansal , Bogdan Calin Mihai Matei , Jayan Eledath , Harpreet Singh Sawhney , Rakesh Kumar , Raia Hadsell
IPC: G06K9/00
CPC classification number: G06K9/00805 , G06K9/00369
Abstract: A computer implemented method for detecting the presence of one or more pedestrians in the vicinity of the vehicle is disclosed. Imagery of a scene is received from at least one image capturing device. A depth map is derived from the imagery. A plurality of pedestrian candidate regions of interest (ROIs) is detected from the depth map by matching each of the plurality of ROIs with a 3D human shape model. At least a portion of the candidate ROIs is classified by employing a cascade of classifiers tuned for a plurality of depth bands and trained on a filtered representation of data within the portion of candidate ROIs to determine whether at least one pedestrian is proximal to the vehicle.
Abstract translation: 公开了一种用于检测车辆附近的一个或多个行人的存在的计算机实现方法。 从至少一个图像捕获装置接收场景的图像。 从图像中导出深度图。 通过将多个ROI中的每一个与3D人体形状模型进行匹配，从深度图检测多个行人候选区域（ROI）。 候选ROI的至少一部分通过采用针对多个深度带调谐的分级器级联进行分类，并且针对候选ROI部分内的数据的滤波表示进行训练，以确定至少一个行人是否靠近车辆。
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Patent Agency Ranking
6.发明申请APPARATUS AND METHOD FOR OBJECT DETECTION AND TRACKING AND ROADWAY AWARENESS USING STEREO CAMERAS 有权使用立体相机的对象检测和跟踪和道路意识的装置和方法公开(公告)号：US20070255480A1
公开(公告)日：2007-11-01
申请号：US11739068
申请日：2007-04-23
Applicant: John Southall , Mayank Bansal , Aastha Jain , Manish Kumar , Theodore Camus , Aveek Das , John Fields , Gary Greene , Jayakrishnan Eledath
Inventor： John Southall , Mayank Bansal , Aastha Jain , Manish Kumar , Theodore Camus , Aveek Das , John Fields , Gary Greene , Jayakrishnan Eledath
CPC classification number: G06K9/00825 , B60T7/22 , B60T2201/089 , B60W30/08 , B60W30/095 , B60W30/16 , B60W2420/403 , G06K9/00201 , G06K9/00798 , G06K9/00805 , G06T7/285 , G06T7/593 , G08G1/167
Abstract: The present invention provides a collision avoidance apparatus and method employing stereo vision applications for adaptive vehicular control. The stereo vision applications are comprised of a road detection function and a vehicle detection and tracking function. The road detection function makes use of three-dimensional point data, computed from stereo image data, to locate the road surface ahead of a host vehicle. Information gathered by the road detection function is used to guide the vehicle detection and tracking function, which provides lead motion data to a vehicular control system of the collision avoidance apparatus. Similar to the road detection function, stereo image data is used by the vehicle detection and tracking function to determine the depth of image scene features, thereby providing a robust means for identifying potential lead vehicles in a headway direction of the host vehicle.
Abstract translation: 本发明提供一种采用立体视觉应用的自适应车辆控制的防撞装置和方法。 立体视觉应用包括道路检测功能和车辆检测和跟踪功能。 道路检测功能利用从立体图像数据计算的三维点数据来定位主车辆前方的路面。 由道路检测功能收集的信息用于引导车辆检测和跟踪功能，该功能将前导运动数据提供给防撞装置的车辆控制系统。 与道路检测功能类似，通过车辆检测和跟踪功能使用立体图像数据来确定图像场景特征的深度，从而提供用于识别主车辆的前进方向上的潜在的先导车辆的鲁棒手段。
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公开(公告)号：US20160088006A1
公开(公告)日：2016-03-24
申请号：US14586381
申请日：2014-12-30
Applicant: Chaitali Gupta , Mayank Bansal , Tzu-Cheng Chuang , Ranjan Sinha , Sami Ben-Romdhane
Inventor： Chaitali Gupta , Mayank Bansal , Tzu-Cheng Chuang , Ranjan Sinha , Sami Ben-Romdhane
CPC classification number: H04L43/08 , G06N99/005 , H04L41/0896 , H04L41/142 , H04L41/147 , H04L41/16
Abstract: In an example embodiment, clusters of nodes in a network are monitored. Then the monitored data may be stored in an open time-series database. Data from the open time-series database is collected and labeled it as training data. Then a model is built through machine learning using the training data. Additional data is retrieved from the open time-series database. The additional data is left as unlabeled. Anomalies in the unlabeled data are computed using the model, producing prediction outcomes and metrics. Finally, the prediction outcomes and metrics are used to move or reduce workloads from problematic clusters of nodes in the network.
Abstract translation: 在示例实施例中，监视网络中的节点群集。 然后，监视的数据可以存储在开放的时间序列数据库中。 来自开放时间序列数据库的数据被收集并标记为训练数据。 然后通过使用训练数据的机器学习建立一个模型。 从打开的时间序列数据库检索附加数据。 附加数据保留为未标记。 使用该模型计算未标记数据中的异常，从而产生预测结果和指标。 最后，预测结果和度量用于从有问题的网络中的节点集群移动或减少工作负载。
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公开(公告)号：US20110208575A1
公开(公告)日：2011-08-25
申请号：US12710966
申请日：2010-02-23
Applicant: Mayank Bansal , Arun Sundaresan , Brian Bouta
Inventor： Mayank Bansal , Arun Sundaresan , Brian Bouta
CPC classification number: G06Q30/02 , G06Q30/0224 , G06Q30/0239
Abstract: A system and method for generating a plurality of interactive advertisements are provided. The system includes an advertisement generator operable to generate online advertisements displaying coupon offers. An ad server is provided for rendering the advertisements to users. Each advertisement includes an interactive button operable to display a printable copy of the advertised coupon to the user. The coupon includes a unique identifier visibly embedded therein, wherein the unique identifier enables the user to redeem the coupon.
Abstract translation: 提供了一种用于生成多个互动广告的系统和方法。 该系统包括可用于生成显示优惠券优惠的在线广告的广告发生器。 提供广告服务器用于将广告呈现给用户。 每个广告包括可操作以向用户显示所通告的优惠券的可打印副本的交互式按钮。 优惠券包括可见地嵌入其中的唯一标识符，其中唯一标识符使得用户能够兑换优惠券。
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公开(公告)号：US20100092038A1
公开(公告)日：2010-04-15
申请号：US12578440
申请日：2009-10-13
Applicant: Armand Camus Theodore , Aparna Taneja , Mayank Bansal , Ankit Kumar , John Benjamin Southall
Inventor： Armand Camus Theodore , Aparna Taneja , Mayank Bansal , Ankit Kumar , John Benjamin Southall
IPC: G06K9/00
CPC classification number: G06K9/3233 , G06K9/00201 , G06T7/593 , G06T2207/10012 , G06T2207/30196 , G06T2207/30232
Abstract: The present invention is a system and a method of segmenting and detecting objects which can be approximated by planar or nearly planar surfaces in order to detect one or more objects with threats or potential threats. The method includes capturing imagery of the scene proximate a platform, producing a depth map from the imagery and tessellating the depth map into a number of patches. The method also includes classifying the plurality of patches as threat patches and projecting the threat patches into a pre-generated vertical support histogram to facilitate selection of the projected threat patches having a score value within a sufficiency criterion. The method further includes grouping the selected patches having the score value using a plane fit to obtain a region of interest and processing the region of interest to detect said object.
Abstract translation: 本发明是一种分割和检测物体的系统和方法，其可由平面或近似平面的表面近似，以便检测具有威胁或潜在威胁的一个或多个物体。 该方法包括捕获靠近平台的场景的图像，从图像生成深度图并将深度图细分为多个补丁。 该方法还包括将多个补丁分类为威胁补丁并将威胁补丁投影到预先生成的垂直支持直方图中，以便于选择具有在足够准则内的得分值的投影威胁补丁。 该方法还包括使用平面拟合来对具有得分值的所选择的片段进行分组以获得感兴趣的区域并且处理感兴趣的区域以检测所述对象。
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公开(公告)号：US08385599B2
公开(公告)日：2013-02-26
申请号：US12578440
申请日：2009-10-13
Applicant: Theodore Armand Camus , Aparna Taneja , Mayank Bansal , Ankit Kumar , John Benjamin Southall
Inventor： Theodore Armand Camus , Aparna Taneja , Mayank Bansal , Ankit Kumar , John Benjamin Southall
IPC: G06K9/00
CPC classification number: G06K9/3233 , G06K9/00201 , G06T7/593 , G06T2207/10012 , G06T2207/30196 , G06T2207/30232
Abstract: The present invention is a system and a method of segmenting and detecting objects which can be approximated by planar or nearly planar surfaces in order to detect one or more objects with threats or potential threats. The method includes capturing imagery of the scene proximate a platform, producing a depth map from the imagery and tessellating the depth map into a number of patches. The method also includes classifying the plurality of patches as threat patches and projecting the threat patches into a pre-generated vertical support histogram to facilitate selection of the projected threat patches having a score value within a sufficiency criterion. The method further includes grouping the selected patches having the score value using a plane fit to obtain a region of interest and processing the region of interest to detect said object.
Abstract translation: 本发明是一种分割和检测物体的系统和方法，其可由平面或近似平面的表面近似，以便检测具有威胁或潜在威胁的一个或多个物体。 该方法包括捕获靠近平台的场景的图像，从图像生成深度图并将深度图细分为多个补丁。 该方法还包括将多个补丁分类为威胁补丁并将威胁补丁投影到预先生成的垂直支持直方图中，以便于选择具有在足够准则内的得分值的投影威胁补丁。 该方法还包括使用平面拟合来对具有得分值的所选择的片段进行分组以获得感兴趣的区域并且处理感兴趣的区域以检测所述对象。
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