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1.发明申请A COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR PROVIDING ROBUST COMMUNICATION LINKS TO UNMANNED AERIAL VEHICLES 审中-公开用于向无人驾驶车辆提供稳健通信链接的计算机实施系统和方法公开(公告)号：US20160328980A1
公开(公告)日：2016-11-10
申请号：US15022512
申请日：2015-01-30
Applicant: TATA CONSULTANCY SERVICES LIMITED
Inventor： Hrishikesh SHARMA , Samar SHAILENDRA , Balamuralidhar PURUSHOTHAMAN
CPC classification number: G08G5/0069 , B64C39/024 , G05D1/0022 , G06T19/003 , G08G5/0013 , G08G5/0021 , G08G5/0056 , H04B7/18504 , H04B7/18506 , H04L67/12
Abstract: A computer implemented system for providing robust communication links to unmanned aerial vehicles is envisaged. It comprises a plurality of nodes which communicate with each other and with an unmanned aerial vehicle to allow exchange of data. A 3D signal coverage model is created which determines signal coverage provided by the plurality of nodes. A navigator present in the system navigates the unmanned aerial vehicle to follow a stored flight path based on this 3D model. Waypoints present in the path of the unmanned aerial vehicle are then identified and suitable waypoints are selected from where sensed pre-stored data is collected. A suitable node is then selected based on the stored 3D signal coverage model, location of the unmanned aerial vehicle and the nodes, and the signal strength of the nodes and the collected data is transmitted to the suitable node through the unmanned aerial vehicle to provide robust communication.
Abstract translation: 设想了一种用于向无人驾驶飞行器提供强大通信链路的计算机实现系统。 它包括多个节点，它们彼此通信并与无人驾驶飞行器通信以允许数据交换。 创建了确定由多个节点提供的信号覆盖的3D信号覆盖模型。 系统中的导航仪导航无人驾驶飞行器，以遵循基于该3D模型的存储飞行路径。 然后识别存在于无人驾驶飞行器的路径中的航路点，并从其中收集感测到的预先存储的数据中选择合适的航路点。 然后，基于存储的3D信号覆盖模型，无人机和节点的位置来选择合适的节点，并且节点的信号强度和收集的数据通过无人驾驶飞行器被发送到合适的节点，以提供鲁棒的 通讯。
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公开(公告)号：US20220222914A1
公开(公告)日：2022-07-14
申请号：US17574856
申请日：2022-01-13
Applicant: Tata Consultancy Services Limited
Inventor： Prakhar PRADHAN , Hrishikesh SHARMA , Balamuralidhar PURUSHOTHAMAN
Abstract: This disclosure relates to a system and method for attention-based surface crack segmentation. Existing methods do not efficiently handle the sub-problem of data imbalance and inaccurate predicted pixels are ignored. The present disclosure obtains a binary edge map by passing a m-channel image through an edge detection algorithm and concatenate the obtained binary edge map with a channel dimension to obtain a (m+1)-channel image. Feature maps are extracted from an encoder and a decoder by feeding the obtained (m+1)-channel image into a network, wherein the feature maps are convolved with an attention mask and merged in a fused network. The merged feature maps are up sampled and concatenated to obtain a final fused feature map. The final fused feature map is passed through a sigmoid activation function to obtain a probability map which is iteratively thresholded to obtain a binary predicted image. The binary image is indicative of crack pixels.
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3.发明申请METHODS AND SYSTEMS FOR SHAPE BASED IMAGE ANALYSIS FOR DETECTING LINEAR OBJECTS 审中-公开用于检测线性对象的基于形状的图像分析的方法和系统公开(公告)号：US20170061227A1
公开(公告)日：2017-03-02
申请号：US15212731
申请日：2016-07-18
Applicant: Tata Consultancy Services Limited
Inventor： Hrishikesh SHARMA , Adithya VELLAIAPPAN , Balamuralidhar PURUSHOTHAMAN
CPC classification number: G06K9/3241 , G06K9/00637 , G06K9/4604 , G06K9/6204 , G06K9/6218
Abstract: The present disclosure provides systems and methods to enable detection of linear objects such as utility poles in complex and heterogeneous outdoor surroundings. The methods deal with shape and orientation as prominent features of a pole model. Candidate trapeziums from 2D images of the face of the poles are extracted, some of which represent parts of the pole. To overcome the missed detection of certain parts due to problems of occlusion and diffusion into background, shape based techniques, that extrapolate and capture a longer trapezium representing the pole is implemented. The region growing stage or extrapolation is driven by orientation-based clustering of trapeziums. Context information is further used to identify objects of interest, by discarding false positives. Besides detecting poles of interest, the detected poles are further analysed to identify damages, if any.
Abstract translation: 本公开提供了系统和方法，以能够检测线性物体，例如在复杂和异质的室外环境中的电线杆。 该方法将形状和方向作为极模型的突出特征。 提取二极图2D图像中的候选梯形图，其中一些代表极点的一部分。 为了克服由于阻塞和扩散到背景中的问题而导致的某些部分的漏检，实现了外推和捕获代表极点的更长梯形的基于形状的技术。 区域生长阶段或外推是由梯形的基于定向的聚类驱动的。 通过舍弃误报，进一步利用上下文信息来识别感兴趣的对象。 除了检测到感兴趣的极点之外，进一步分析检测到的极点以识别损伤（如果有的话）。
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Patent Agency Ranking
4.发明申请METHOD AND SYSTEM FOR FACILITATING REAL TIME DETECTION OF LINEAR INFRASTRUCTURAL OBJECTS BY AERIAL IMAGERY 有权方法和系统，用于实现航空影像实时检测线性基础设施对象公开(公告)号：US20170068855A1
公开(公告)日：2017-03-09
申请号：US15211654
申请日：2016-07-15
Applicant: Tata Consultancy Services Limited
Inventor： Hrishikesh SHARMA , Adithya VELLAIAPPAN , Balamuralidhar PURUSHOTHAMAN
CPC classification number: G06K9/00577 , B64C39/024 , B64C2201/123 , B64C2201/127 , B64D47/08 , G06K9/00637 , G06K9/4619 , H04N5/247
Abstract: This disclosure relates generally to ge visual inspection systems, and more particularly to a method and system for facilitating real time detection of linear infrastructural objects in aerial imagery. In one embodiment, a background suppression technique is applied to one or more hardware processors to a HSV image. Further, a mean shift filtering technique is applied to the hardware processors to find a peak of a confidence map and then a gradient image generation is performed for a plurality of edges of the image. A seed point pair along a middle cut portion of a linear feature of the HSV image to identify one or more boundaries of the seed point pair is extracted and then a contour growing approach to detect the boundaries of the linear feature is initiated. Lastly, one or more false positives are removed by using a rigidity feature, the rigidity feature being equivalent to the total sum of gradient orientations.
Abstract translation: 本公开一般涉及视觉检查系统，更具体地涉及一种用于促进航空图像中线性基础设施物体的实时检测的方法和系统。 在一个实施例中，将背景抑制技术应用于HSV图像的一个或多个硬件处理器。 此外，平均偏移滤波技术被应用于硬件处理器以找到置信图的峰值，然后对图像的多个边缘执行梯度图像生成。 提取沿着HSV图像的线性特征的中间切割部分的种子点对以识别种子点对的一个或多个边界，然后开始检测线性特征的边界的轮廓生长方法。 最后，通过使用刚度特征去除一个或多个假阳性，刚度特征等于梯度取向的总和。
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公开(公告)号：US20170017240A1
公开(公告)日：2017-01-19
申请号：US15087298
申请日：2016-03-31
Applicant: Tata Consultancy Services Limited
Inventor： Hrishikesh SHARMA , Balamuralidhar Purushothaman
CPC classification number: B64C39/024 , B64C2201/14 , B64C2201/18 , G05D1/0676
Abstract: This disclosure relates generally to Unmanned Aerial Vehicle (UAV), and more particularly to system and a method for landing of an Unmanned Aerial Vehicle (UAV). In one embodiment, the method includes estimating a 3-dimensional (3D) location of at least one media sensor mounted on the UAV relative to a marker representative of a landing location of the UAV. The marker comprises a recursive geometrical pattern. The landing of the UAV on the marker at the landing location is facilitated based on the 3D location of the at least one media sensor mounted on the UAV relative to the marker.
Abstract translation: 本公开总体上涉及无人机（UAV），更具体地涉及无人机（UAV）的系统和着陆方法。 在一个实施例中，该方法包括相对于代表UAV的着陆位置的标记来估计安装在UAV上的至少一个介质传感器的3维（3D）位置。 标记包括递归几何图案。 基于安装在UAV上的至少一个介质传感器相对于标记的3D位置，便于在着陆位置处的标记上的UAV的着陆。
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公开(公告)号：US20210124933A1
公开(公告)日：2021-04-29
申请号：US17077900
申请日：2020-10-22
Applicant: Tata Consultancy Services Limited
Abstract: This disclosure relates generally to multi instance visual tracking based on observer motion modelling. Conventional state-of-the-art methods have major challenges in dealing with the error rate, accuracy of tracking the moving objects when observer motion is also considered. Embodiments of the present disclosure provide a method for multi instance visual tracking considering the motion of observer. The method tracks moving objects in an input video comprising a set of image frames, by detecting the moving objects in each image frame. The method detects the moving objects in each image frame by calculating trifocal tensors and fundamental matrix of the previous frames. The disclosed multi instance visual tracking can be used in remote surveillance problem for tracking moving objects.
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7.发明申请公开(公告)号：US20180341535A1
公开(公告)日：2018-11-29
申请号：US15980188
申请日：2018-05-15
Applicant: TATA CONSULTANCY SERVICES LIMITED
Inventor： Hrishikesh SHARMA , Hiranmay Ghosh , Balamuralidhar Purushothaman
Abstract: Remote sensing techniques are being increasingly used for periodic structural health monitoring of vast infrastructures. Conventionally, analysis of visual and other signals captured from sensing devices are used to diagnose faults. Such data collection and analysis is expensive in terms of both computational overheads as well as towards robotic maneuvering of data collection systems, such as a UAV. In accordance with the present disclosure, the data acquisition system is modeled as an intelligent situated agent that autonomously controls data gathering and analysis activities through a cognitive cycle of perception-recognition-action, in order to optimize the cost of efforts in identifying faults that may exist. Also, a reactive, economical planning algorithm around QualitativeBayesian Network (QBN) that controls the sequence of data collection and analysis has been implemented.
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公开(公告)号：US20180268720A1
公开(公告)日：2018-09-20
申请号：US15912032
申请日：2018-03-05
Applicant: Tata Consultancy Services Limited
CPC classification number: G08G5/0034 , B64C2201/123 , B64C2201/127 , G05D1/101 , G08G5/006 , G08G5/0069 , G08G5/0078 , G08G5/0086
Abstract: The systems and methods of the present disclosure provide a path panning algorithm for fixed-wing aerial vehicles that may be employed, particularly for monitoring of long linear infrastructures. The applicants' earlier patent applications address turn angle constraints for fixed wing aerial and maintaining transmission continuity in presence of coverage holes by imposing a plurality of constraints along with storage constraints. The present disclosure addresses a technical challenge of simultaneously meeting multiple objectives; particularly distance cost and communication cost while satisfying the plurality of constraints that enable pruning of feasible paths in a 3D Euclidean navigation space to obtain a set of optimal paths for surveillance of a target under consideration.
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