Patents by Inventor Shanmukha Sravan Puttagunta
Shanmukha Sravan Puttagunta has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10549768Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.Type: GrantFiled: October 23, 2017Date of Patent: February 4, 2020Assignee: SOLFICE RESEARCH, INC.Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills
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Patent number: 10489650Abstract: Systems and methods for providing vehicle cognition through localization and semantic mapping are provided. Localization may involve in vehicle calculation of voxel signatures, such as by hashing weighted voxel data (S900, S910) obtained from a machine vision system (110), and comparison of calculated signatures to cached data within a signature localization table (630) containing previously known voxel signatures and associated geospatial positions. Signature localization tables (630) may be developed by swarms of agents (1000) calculating signatures while traversing an environment and reporting calculated signatures and associated geospatial positions to a central server (1240). Once vehicles are localized, they may engage in semantic mapping. A swarm of vehicles (1400, 1402) may characterize assets encountered while traversing a local environment. Asset characterizations may be compared to known assets within the locally cached semantic map.Type: GrantFiled: September 29, 2018Date of Patent: November 26, 2019Assignee: SOLFICE RESEARCH, INC.Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Scott Harvey
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Patent number: 10366289Abstract: Systems and methods for providing vehicle cognition through localization and semantic mapping are provided. Localization may involve in vehicle calculation of voxel signatures, such as by hashing weighted voxel data (S900, S910) obtained from a machine vision system (110), and comparison of calculated signatures to cached data within a signature localization table (630) containing previously known voxel signatures and associated geospatial positions. Signature localization tables (630) may be developed by swarms of agents (1000) calculating signatures while traversing an environment and reporting calculated signatures and associated geospatial positions to a central server (1240). Once vehicles are localized, they may engage in semantic mapping. A swarm of vehicles (1400, 1402) may characterize assets encountered while traversing a local environment. Asset characterizations may be compared to known assets within the locally cached semantic map.Type: GrantFiled: March 15, 2017Date of Patent: July 30, 2019Assignee: Solfice Research, Inc.Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Scott Harvey
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Patent number: 10306689Abstract: Systems and methods allow for devices, such as sensory systems and mixed reality content consuming systems installed within a vehicle, to discover each other, share multidimensional realities, inherit context for mixed reality content, and/or coordinate whilst providing a mixed reality user experience. A discovery service can receive information from multiple devices and correlate digital and physical characteristics thereof to enable devices to discover each other. Characteristics of a device that may be used for pairing may include its orientation physically, the observable reality of a device, the state-machine of the device, the intentions of the device whilst operating autonomously or with external assistance, the location of a device, the temporal/spatial information describing the device's movement over time in a multi-dimensional reality or any unique identifiers contained within or generated by the device.Type: GrantFiled: February 9, 2018Date of Patent: May 28, 2019Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim
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Publication number: 20190034730Abstract: Systems and methods for providing vehicle cognition through localization and semantic mapping are provided. Localization may involve in vehicle calculation of voxel signatures, such as by hashing weighted voxel data (S900, S910) obtained from a machine vision system (110), and comparison of calculated signatures to cached data within a signature localization table (630) containing previously known voxel signatures and associated geospatial positions. Signature localization tables (630) may be developed by swarms of agents (1000) calculating signatures while traversing an environment and reporting calculated signatures and associated geospatial positions to a central server (1240). Once vehicles are localized, they may engage in semantic mapping. A swarm of vehicles (1400, 1402) may characterize assets encountered while traversing a local environment. Asset characterizations may be compared to known assets within the locally cached semantic map.Type: ApplicationFiled: September 29, 2018Publication date: January 31, 2019Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Scott Harvey
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Publication number: 20190034728Abstract: Systems and methods for providing vehicle cognition through localization and semantic mapping are provided. Localization may involve in vehicle calculation of voxel signatures, such as by hashing weighted voxel data (S900, 5910) obtained from a machine vision system (110), and comparison of calculated signatures to cached data within a signature localization table (630) containing previously known voxel signatures and associated geospatial positions. Signature localization tables (630) may be developed by swarms of agents (1000) calculating signatures while traversing an environment and reporting calculated signatures and associated geospatial positions to a central server (1240). Once vehicles are localized, they may engage in semantic mapping. A swarm of vehicles (1400, 1402) may characterize assets encountered while traversing a local environment. Asset characterizations may be compared to known assets within the locally cached semantic map.Type: ApplicationFiled: September 29, 2018Publication date: January 31, 2019Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Scott Harvey
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Publication number: 20190034729Abstract: Systems and methods for providing vehicle cognition through localization and semantic mapping are provided. Localization may involve in vehicle calculation of voxel signatures, such as by hashing weighted voxel data (S900, S910) obtained from a machine vision system (110), and comparison of calculated signatures to cached data within a signature localization table (630) containing previously known voxel signatures and associated geospatial positions. Signature localization tables (630) may be developed by swarms of agents (1000) calculating signatures while traversing an environment and reporting calculated signatures and associated geospatial positions to a central server (1240). Once vehicles are localized, they may engage in semantic mapping. A swarm of vehicles (1400, 1402) may characterize assets encountered while traversing a local environment. Asset characterizations may be compared to known assets within the locally cached semantic map.Type: ApplicationFiled: September 29, 2018Publication date: January 31, 2019Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Scott Harvey
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Publication number: 20180370552Abstract: A system, method, and apparatus are disclosed for a machine vision system that incorporates hardware and/or software, remote databases, and algorithms to map assets, evaluate railroad track conditions, and accurately determine the position of a moving vehicle on a railroad track. One benefit of the invention is the possibility of real-time processing of sensor data for guiding operation of the moving vehicle.Type: ApplicationFiled: August 29, 2018Publication date: December 27, 2018Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim
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Patent number: 10086857Abstract: A system, method, and apparatus are disclosed for a machine vision system that incorporates hardware and/or software, remote databases, and algorithms to map assets, evaluate railroad track conditions, and accurately determine the position of a moving vehicle on a railroad track. One benefit of the invention is the possibility of real-time processing of sensor data for guiding operation of the moving vehicle.Type: GrantFiled: November 26, 2014Date of Patent: October 2, 2018Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim
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Publication number: 20180227974Abstract: Systems and methods allow for devices, such as sensory systems and mixed reality content consuming systems installed within a vehicle, to discover each other, share multidimensional realities, inherit context for mixed reality content, and/or coordinate whilst providing a mixed reality user experience. A discovery service can receive information from multiple devices and correlate digital and physical characteristics thereof to enable devices to discover each other. Characteristics of a device that may be used for pairing may include its orientation physically, the observable reality of a device, the state-machine of the device, the intentions of the device whilst operating autonomously or with external assistance, the location of a device, the temporal/spatial information describing the device's movement over time in a multi-dimensional reality or any unique identifiers contained within or generated by the device.Type: ApplicationFiled: February 9, 2018Publication date: August 9, 2018Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim
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Publication number: 20180057030Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.Type: ApplicationFiled: October 23, 2017Publication date: March 1, 2018Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills
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Patent number: 9796400Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.Type: GrantFiled: January 20, 2016Date of Patent: October 24, 2017Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills
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Publication number: 20170270361Abstract: Systems and methods for providing vehicle cognition through localization and semantic mapping are provided. Localization may involve in vehicle calculation of voxel signatures, such as by hashing weighted voxel data (S900, S910) obtained from a machine vision system (110), and comparison of calculated signatures to cached data within a signature localization table (630) containing previously known voxel signatures and associated geospatial positions. Signature localization tables (630) may be developed by swarms of agents (1000) calculating signatures while traversing an environment and reporting calculated signatures and associated geospatial positions to a central server (1240). Once vehicles are localized, they may engage in semantic mapping. A swarm of vehicles (1400, 1402) may characterize assets encountered while traversing a local environment. Asset characterizations may be compared to known assets within the locally cached semantic map.Type: ApplicationFiled: March 15, 2017Publication date: September 21, 2017Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Scott Harvey
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Publication number: 20160221592Abstract: Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.Type: ApplicationFiled: January 20, 2016Publication date: August 4, 2016Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim, Anuj Gupta, Scott Harvey, Jason Creadore, Graham Mills
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Publication number: 20160121912Abstract: A system, method, and apparatus are disclosed for a machine vision system that incorporates hardware and/or software, remote databases, and algorithms to map assets, evaluate railroad track conditions, and accurately determine the position of a moving vehicle on a railroad track. One benefit of the invention is the possibility of real-time processing of sensor data for guiding operation of the moving vehicle.Type: ApplicationFiled: November 26, 2014Publication date: May 5, 2016Applicant: SOLFICE RESEARCH, INC.Inventors: Shanmukha Sravan Puttagunta, Fabien Chraim