公开(公告)号：US07792598B2

公开(公告)日：2010-09-07

申请号：US11787135

申请日：2007-04-13

申请人： Deepak Khosla ,  James Guillochon

发明人： Deepak Khosla ,  James Guillochon

IPC分类号： G06F19/00

CPC分类号： G01N35/0092 ,  G01N35/00871

摘要： A method and system of a sparse sampling planner uses a finite number of measurements to determine a track's expected intermediate kinematic and classification state for a specific sensor action. It uses the expected track state to compute a reward function. The expected states are further propagated for actions at the next time step to determine the next states and so on. The sampling becomes sparse and the reward function is discounted as one propagates further in time. This produces a state-action tree that is more top-heavy while providing greater accuracy at times closer to the decision point. By doing so, the planner creates a plan comprising a sequence of actions that result in the highest reward. By employing various heuristics to further prune the tree gives highly accurate results with significant savings in computational processor time.

摘要翻译： 稀疏采样计划器的方法和系统使用有限数量的测量来确定特定传感器动作的轨道的预期中间运动学和分类状态。 它使用预期轨迹状态计算奖励功能。 在下一个时间步骤中进一步传播预期状态以确定下一个状态等等。 抽样变得稀疏，奖励功能随着时间的推移而被打折扣。 这产生了一个状态动作树，它在更接近决策点的同时提供更高的精度，更重要。 通过这样做，计划员创建一个计划，其中包含一系列可以获得最高回报的动作。 通过采用各种启发式方式进一步修剪树，可以显着节省计算处理器时间，从而获得高精度的结果。

公开(公告)号：US07757595B2

公开(公告)日：2010-07-20

申请号：US11279824

申请日：2006-04-14

申请人： Deepak Khosla ,  Thomas S. Nichols

发明人： Deepak Khosla ,  Thomas S. Nichols

IPC分类号： F41G9/00

CPC分类号： F41G3/04 ,  F41G7/007 ,  G06Q10/06 ,  G06Q10/067

摘要： Method and apparatus to automatically allocate and schedule weapon systems to threats for maximizing an engagement objective. In one aspect, methods and systems maximize threat killed. In another aspect, methods and systems maximize asset survival against threats. The methods and apparatus considers temporal and resource constraints such that weapons systems are able to engage threats assigned to them.

摘要翻译： 自动分配和安排武器系统的威胁的方法和装置，以最大化接合目标。 在一个方面，方法和系统最大限度地杀死了威胁。 另一方面，方法和系统可以最大限度地利用威胁来实现资产生存。 方法和设备考虑到时间和资源的限制，使得武器系统能够参与分配给他们的威胁。

公开(公告)号：US20080040190A1

公开(公告)日：2008-02-14

申请号：US11504227

申请日：2006-08-14

申请人： Deepak Khosla ,  Alex Dow

发明人： Deepak Khosla ,  Alex Dow

IPC分类号： G06F9/46

CPC分类号： G06F9/4881 ,  G06F2209/484 ,  G06Q10/06311 ,  G06Q10/06312 ,  G06Q10/06313

摘要： Described is a system for multi-mission scheduling. The system is configured to compile a list of missions, where each mission includes at least one task. Additionally, each mission has a mission value associated with it such that the mission value reflects an ordering priority of the mission. The system also compiles a list of available resources that can be utilized to complete the tasks. The resources have, varying capabilities of completing tasks. Based on the lists, the system allocates and schedules the resources to complete tasks within the missions to maximize a total mission value of completed missions. Thus, the system schedules multiple missions to maximize the value of completed missions given available resources, whereby a mission is scheduled when the totality of its tasks have been allocated a sufficient amount of resources.

摘要翻译： 描述了一种用于多任务调度的系统。 该系统被配置为编制任务列表，其中每个任务包括至少一个任务。 此外，每个任务都有与之相关的任务值，使任务值反映出任务的顺序优先级。 该系统还编译可用于完成任务的可用资源列表。 资源有不同的完成任务的能力。 根据这些清单，系统分配和安排资源，以完成特派团内的任务，以最大限度地发挥已完成任务的总任务价值。 因此，系统安排多个任务，以最大限度地发挥现有资源的已完成特派团的价值，从而在其任务总数已分配足够资源的情况下安排任务。

公开(公告)号：US20060129843A1

公开(公告)日：2006-06-15

申请号：US11198798

申请日：2005-08-05

申请人： Narayan Srinivasa ,  Swarup Medasani ,  Yuri Owechko ,  Deepak Khosla

发明人： Narayan Srinivasa ,  Swarup Medasani ,  Yuri Owechko ,  Deepak Khosla

IPC分类号： G06F12/14

CPC分类号： G06F16/335 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99942 ,  Y10S707/99943 ,  Y10S707/99945

摘要： An apparatus and method is disclosed for providing application specific multi-dimensional information to an application running on a user computing device, wherein at least one dimension of the information is a category, from a plurality of member documents electronically extracted from a library of electronically searchable documents, which may comprise an application specific multidimensional information extractor adapted to extract occurrences of prospective representations of dimensions of application specific multidimensional information from the member documents, and to extract occurrences of non-application specific multidimensional information from the member documents; and, an encoder adapted to encode the occurrences of prospective dimensions of application specific multidimensional information and non-application specific multidimensional information contained in member documents according to a dimension specific coded representation of each dimension of application specific multidimensional information and a non-application specific coded representation of each non-application specific multidimensional information element. The apparatus and method may further comprise a member document identifier adapted to determine whether a member document contains coded formatting, and if not, whether the member document is a dense document, and if not, for rejecting the document from further processing, and the coded formatting may comprise network markup language coding. The apparatus and method may further comprise an application specific multidimensional information verification unit adapted verify the extraction of application specific multi-dimensional information from the member documents, and may further comprise a database for storing the application specific multi-dimensional information adapted to provide an application running on a user computing device access to the application specific multidimensional information. The application specific multidimensional information may be scheduled events having the dimensions of time, location and event identity, and the application running on the user computer can be an electronic calendar or other similar scheduling software program.

公开(公告)号：US07026979B2

公开(公告)日：2006-04-11

申请号：US10742738

申请日：2003-12-19

申请人： Deepak Khosla

发明人： Deepak Khosla

IPC分类号： G01S13/72

CPC分类号： G01S13/726

摘要： A method, apparatus, and computer program product for joint kinematic and feature tracking are presented. Kinematic measurements and feature/class measurements regarding an object are received from a sensor. A probabilistic argumentation operation is performed on the feature/class measurements using information from a knowledge base and a track file ect to generate feature track likelihood scores regarding likely tracks for the object. Kinematic track likelihood scores are generated based on the kinematic measurements and the track file. Joint track likelihood scores are generated based on the feature track likelihood scores and the kinematic track likelihood scores. Joint track likelihood scores are used to generate a multi-frame track measurement association to determine a most likely track for the object. The track file is continually updated with the most likely track for the object, so that the most likely trajectory of the object is obtained.

摘要翻译： 提出了一种用于联合运动学和特征跟踪的方法，装置和计算机程序产品。 从传感器接收关于物体的运动测量和特征/等级测量。 使用来自知识库和轨道文件等的信息对特征/类别测量执行概率论证操作，以生成关于对象的可能轨道的特征轨迹可能性分数。 基于运动学测量和轨迹文件生成运动轨迹可能性分数。 基于特征轨迹可能性得分和运动轨迹可能性得分，产生联合轨迹可能性得分。 联合轨迹可能性分数用于产生多帧轨道测量关联，以确定对象的最可能的轨迹。 跟踪文件不断更新为对象的最可能的轨迹，从而获得对象的最可能的轨迹。

公开(公告)号：US20050001759A1

公开(公告)日：2005-01-06

申请号：US10742738

申请日：2003-12-19

申请人： Deepak Khosla

发明人： Deepak Khosla

IPC分类号： G01S13/72

CPC分类号： G01S13/726

摘要： A method, apparatus, and computer program product for joint kinematic and feature tracking are presented. Kinematic measurements and feature/class measurements regarding an object are received from a sensor. A probabilistic argumentation operation is performed on the feature/class measurements using information from a knowledge base and a track file ect to generate feature track likelihood scores regarding likely tracks for the object. Kinematic track likelihood scores are generated based on the kinematic measurements and the track file. Joint track likelihood scores are generated based on the feature track likelihood scores and the kinematic track likelihood scores. Joint track likelihood scores are used to generate a multi-frame track measurement association to determine a most likely track for the object. The track file is continually updated with the most likely track for the object, so that the most likely trajectory of the object is obtained.

摘要翻译： 提出了一种用于联合运动学和特征跟踪的方法，装置和计算机程序产品。 从传感器接收关于物体的运动测量和特征/等级测量。 使用来自知识库和轨道文件等的信息对特征/类别测量执行概率论证操作，以生成关于对象的可能轨道的特征轨迹可能性分数。 基于运动学测量和轨迹文件生成运动轨迹可能性分数。 基于特征轨迹可能性得分和运动轨迹可能性得分，产生联合轨迹可能性得分。 联合轨迹可能性分数用于产生多帧轨道测量关联，以确定对象的最可能的轨迹。 跟踪文件不断更新为对象的最可能的轨迹，从而获得对象的最可能的轨迹。

公开(公告)号：US08699767B1

公开(公告)日：2014-04-15

申请号：US12975352

申请日：2010-12-21

申请人： Deepak Khosla ,  David J. Huber ,  Rajan Bhattacharyya

发明人： Deepak Khosla ,  David J. Huber ,  Rajan Bhattacharyya

IPC分类号： G06K9/00

CPC分类号： G06K9/6267 ,  G06K9/00496 ,  G06K9/4609 ,  G06K9/6212 ,  G06K9/626 ,  G06T7/215

摘要： Described is a system for optimizing rapid serial visual presentation (RSVP). A similarity metric is computed for RSVP images, and the images are sequenced according to the similarity metrics. The sequenced images are presented to a user, and neural signals are received to detect a P300 signal. A neural score for each image is computed, and the system is optimized to model the neural scores. The images are resequenced according a predictive model to output a sequence prediction which does not cause a false P300 signal. Additionally, the present invention describes computing a set of motion surprise maps from image chips. The image chips are labeled as static or moving and prepared into RSVP datasets. Neural signals are recorded in response to the RSVP datasets, and an EEG score is computed from the neural signals. Each image chip is then classified as containing or not containing an item of interest.

摘要翻译： 描述了一种用于优化快速串行视觉呈现（RSVP）的系统。 为RSVP图像计算相似性度量，并且根据相似性度量对图像进行排序。 将序列图像呈现给用户，并且接收神经信号以检测P300信号。 计算每个图像的神经分数，并优化系统以对神经分数进行建模。 根据预测模型对图像进行重新排序，以输出不引起假P300信号的序列预测。 另外，本发明描述了从图像芯片计算一组运动惊喜图。 图像芯片被标记为静态或移动并准备成RSVP数据集。 根据RSVP数据集记录神经信号，并根据神经信号计算EEG得分。 然后将每个图像芯片分类为包含或不包含感兴趣的项目。

公开(公告)号：US08634982B2

公开(公告)日：2014-01-21

申请号：US12543665

申请日：2009-08-19

申请人： Deepak Khosla ,  David Fuciarelli ,  David L Ii

发明人： Deepak Khosla ,  David Fuciarelli ,  David L Ii

IPC分类号： G05D1/00

CPC分类号： G05D1/104

摘要： To improve the scheduling and tasking of sensors, the present disclosure describes an improved planning system and method for the allocation and management of sensors. In one embodiment, the planning system uses a branch and bound approach of tasking sensors using a heuristic to expedite arrival at a deterministic solution. In another embodiment, a progressive lower bound is applied to the branch and bound approach. Also, in another embodiment, a hybrid branch and bound approach is used where both local and global planning are employed in a tiered fashion.

摘要翻译： 为了改进传感器的调度和任务，本公开描述了用于分配和管理传感器的改进的规划系统和方法。 在一个实施例中，规划系统使用启发式方法使用任务传感器的分支和绑定方法来加速到达确定性解决方案。 在另一个实施例中，渐进下界应用于分支和绑定方法。 此外，在另一个实施例中，使用混合分支和绑定方法，其中以分层方式采用本地和全局规划。

公开(公告)号：US08396282B1

公开(公告)日：2013-03-12

申请号：US12262548

申请日：2008-10-31

申请人： David J Huber ,  Deepak Khosla ,  Paul Alex Dow

发明人： David J Huber ,  Deepak Khosla ,  Paul Alex Dow

IPC分类号： G06K9/00 ,  G05B15/00

CPC分类号： G06K9/4623 ,  G06K9/629

摘要： The present disclosure describes a fused saliency map from visual and auditory saliency maps. The saliency maps are in azimuth and elevation coordinates. The auditory saliency map is based on intensity, frequency and temporal conspicuity maps. Once the auditory saliency map is determined, the map is converted into azimuth and elevation coordinates by processing selected snippets of sound from each of four microphones arranged on a robot head to detect the location of the sound source generating the saliencies.

摘要翻译： 本公开描述了来自视觉和听觉显着图的融合显着图。 显着图是方位角和高程坐标。 听觉显着图基于强度，频率和时间显着性图。 一旦听觉显着性图被确定，通过处理布置在机器人头上的四个麦克风中的每一个的选定的声音片段来检测产生出色的声源的位置，将地图转换成方位角和仰角坐标。

公开(公告)号：US20120209652A1

公开(公告)日：2012-08-16

申请号：US13069638

申请日：2011-03-23

申请人： Deepak Khosla ,  Eric Huang ,  David L. Ii

发明人： Deepak Khosla ,  Eric Huang ,  David L. Ii

IPC分类号： G06Q10/00

CPC分类号： G06Q10/0631

摘要： To improve the scheduling and tasking of resources, the present disclosure describes an improved planning system and method for the allocation and management of resources. The planning system uses a branch and bound approach of tasking resources using a heuristic to expedite arrival at a deterministic solution. For each possible functional mode of the resources, an upper bound is determined. The upper bounds are employed in an objective function for the branch and bound process to determine the functional mode in which to place the resources and to determine movement paths for the resources, all in an environment where a hostile force may attempt to destroy the resources.

摘要翻译： 为了改进资源的调度和任务，本公开描述了一种用于资源分配和管理的改进的规划系统和方法。 规划系统使用启发式方法使用分支和绑定的任务资源方法来加速到达确定性解决方案。 对于资源的每个可能的功能模式，确定上限。 上限用于分支和绑定过程的目标函数，以确定放置资源的功能模式，并确定资源的移动路径，所有这些都在敌对力量可能试图破坏资源的环境中。