Patents by Inventor Prakash Mohan Peranandam

Prakash Mohan Peranandam 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).

  • Patent number: 11455538
    Abstract: A method for reducing the number of neurons in a trained deep neural network (DNN) includes classifying layer types in a plurality of hidden layers; evaluating the accuracy of the DNN using a validation set of data; and generating a layer specific ranking of neurons, wherein the generating includes: analyzing, using the validation set of data for one or more of the plurality of hidden layers, the activation function for each neuron in the analyzed layers to determine an activation score for each neuron; and ranking, on a layer type basis, each neuron in the analyzed layers based on the neuron's activation score to generate a layer specific ranking of neurons. The method further includes removing a number of lower ranked neurons from the DNN that does not result in the DNN after the removal of selected lower ranked neurons to fall outside of an accuracy threshold limit.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: September 27, 2022
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Prakash Mohan Peranandam, Ramesh Sethu, Alena Rodionova
  • Publication number: 20220261627
    Abstract: Systems and method are provided for monitoring an operator of a vehicle. In one embodiment, a method includes: receiving, by a processor, data generated by the vehicle; determining, by the processor, causal time series event data based on the received data; computing, by the processor, a score for at least one of safety and quality based on a first machine learning model and the causal time series event data; computing, by the processor, at least one explanation for the score based on a second machine learning model; and generating, by the processor, display data to display at least one of the causal time series event data, the score, and the explanation to an end user.
    Type: Application
    Filed: February 12, 2021
    Publication date: August 18, 2022
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Ramesh Sethu, Prakash Mohan Peranandam, Rami I. Debouk, Arun Adiththan, Guangyu J. Zou
  • Patent number: 11400930
    Abstract: A system and method for predicting a collision between a host vehicle and a target vehicle operating on a multi-lane roadway may include determining the host and target vehicles are converging from respective first and second lanes to a third lane intermediate the first and second lanes. A predetermined set of conditions is evaluated including relationships among the host and target vehicle separations and speeds, and a collision predicted based upon the evaluation.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: August 2, 2022
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Meng Jiang, Jiyu Zhang, Prakash Mohan Peranandam, Mohamed A. Layouni
  • Patent number: 11325594
    Abstract: Methods and systems to implement sensor fusion to determine collision potential for a vehicle include identifying a specific intersection that the vehicle is approaching, and identifying collision potential scenarios associated with one or more paths through the specific intersection. Each collision potential scenario defines a risk of a collision between the vehicle and an object in a specified area. A weight with which one or more information sources of the vehicle are considered is adjusted for each collision potential scenario such that a highest weight is given to one or more of the one or more information sources that provide most relevant and reliable information about the specified area. Sensor fusion is implemented based on the adjusting the weight of the one or more information sources and performing detection based on the sensor fusion, and an alert is provided or actions are implemented according to the detection.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: May 10, 2022
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Shengbing Jiang, Shuqing Zeng, Prakash Mohan Peranandam, Meng Jiang, Jiyu Zhang, Mohamed A. Layouni
  • Patent number: 11218843
    Abstract: Systems and methods for vehicle-target localization, identification and indication. The system includes a vehicle module operating onboard a vehicle and configured to receive a request for a tether and send the tether responsive thereto, and a target module operating on a target external to the vehicle. The target module can generate target profile data (TPD) comprising location information for the target, such as, a first component that is a function of a detected first WiFi signal having a first signal strength. The request for the tether including the TPD is transmitted to the vehicle module; a tether of secured communications is established between the vehicle module and target module. Real-time TPD is exchanged during the tether and the vehicle module performs the V-T localization as a function of the RT TPD, and commands the vehicle based on V-T localization data.
    Type: Grant
    Filed: January 5, 2021
    Date of Patent: January 4, 2022
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Prakash Mohan Peranandam, Jiyu Zhang, Erik B. Golm
  • Patent number: 11195063
    Abstract: A system and method for determining the presence of a hidden hazard may include identification of an operational scene for a host vehicle, and identification of an operational situation for the host vehicle. Information from a plurality of proximity sensors is collected and classified. A plurality of hidden hazard presence probabilities corresponding to the information from each of the plurality of proximity sensors, the operational scene, the operational situation, and at least one of a comparative process and a dynamic neural network process are estimated. A fusion process may be performed upon the plurality of hidden hazard presence probabilities to determine the presence of a hidden hazard.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: December 7, 2021
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Prakash Mohan Peranandam, Erik B. Golm, Meng Jiang, Shengbing Jiang, Jiyu Zhang
  • Publication number: 20210253095
    Abstract: A system and method for predicting a collision between a host vehicle and a target vehicle operating on a multi-lane roadway may include determining the host and target vehicles are converging from respective first and second lanes to a third lane intermediate the first and second lanes. A predetermined set of conditions is evaluated including relationships among the host and target vehicle separations and speeds, and a collision predicted based upon the evaluation.
    Type: Application
    Filed: February 14, 2020
    Publication date: August 19, 2021
    Inventors: Meng Jiang, Jiyu Zhang, Prakash Mohan Peranandam, Mohamed A. Layouni
  • Publication number: 20210256327
    Abstract: A system and method for determining the presence of a hidden hazard may include identification of an operational scene for a host vehicle, and identification of an operational situation for the host vehicle. Information from a plurality of proximity sensors is collected and classified. A plurality of hidden hazard presence probabilities corresponding to the information from each of the plurality of proximity sensors, the operational scene, the operational situation, and at least one of a comparative process and a dynamic neural network process are estimated. A fusion process may be performed upon the plurality of hidden hazard presence probabilities to determine the presence of a hidden hazard.
    Type: Application
    Filed: February 14, 2020
    Publication date: August 19, 2021
    Inventors: Prakash Mohan Peranandam, Erik B. Golm, Meng Jiang, Shengbing Jiang, Jiyu Zhang
  • Publication number: 20210245743
    Abstract: Methods and systems to implement sensor fusion to determine collision potential for a vehicle include identifying a specific intersection that the vehicle is approaching, and identifying collision potential scenarios associated with one or more paths through the specific intersection. Each collision potential scenario defines a risk of a collision between the vehicle and an object in a specified area. A weight with which one or more information sources of the vehicle are considered is adjusted for each collision potential scenario such that a highest weight is given to one or more of the one or more information sources that provide most relevant and reliable information about the specified area. Sensor fusion is implemented based on the adjusting the weight of the one or more information sources and performing detection based on the sensor fusion, and an alert is provided or actions are implemented according to the detection.
    Type: Application
    Filed: February 10, 2020
    Publication date: August 12, 2021
    Inventors: Shengbing Jiang, Shuqing Zeng, Prakash Mohan Peranandam, Meng Jiang, Jiyu Zhang, Mohamed A. Layouni
  • Publication number: 20210229641
    Abstract: Systems and methods of determining collision potential for a vehicle involve identifying a specific intersection that the vehicle is approaching, and determining an intention of a driver of the vehicle to traverse a specific path through the specific intersection. A method includes identifying an obstructed portion of a relevant area for the specific path of the vehicle through the specific intersection. An object travelling within the relevant area will intersect with the specific path of the vehicle and one or more sensors of the vehicle are blocked from detections in the obstructed portion of the relevant area. An alert is provided or actions are implemented based on the obstructed portion of the relevant area.
    Type: Application
    Filed: January 29, 2020
    Publication date: July 29, 2021
    Inventors: Shengbing Jiang, Jiyu Zhang, Mohamed A. Layouni, Meng Jiang, Jixin Wang, Erik B. Golm, Prakash Mohan Peranandam
  • Publication number: 20200384959
    Abstract: A vehicle cleaning system for cleaning a vehicle including a processor and a memory including computer-executable instructions that, when executed by the processor, cause the processor to perform operations. The operations include determining that a passenger compartment of the vehicle requires cleaning and identifying a type of cleaning required. The operations also include that at least one of a fragrance system, a dry particulate removal system, and a wet particulate removal system is activated in response to the type of cleaning required.
    Type: Application
    Filed: June 6, 2019
    Publication date: December 10, 2020
    Inventors: Chen Zhou, Prakash Mohan Peranandam, Jianfeng Wang
  • Publication number: 20200202214
    Abstract: A method for reducing the number of neurons in a trained deep neural network (DNN) includes classifying layer types in a plurality of hidden layers; evaluating the accuracy of the DNN using a validation set of data; and generating a layer specific ranking of neurons, wherein the generating includes: analyzing, using the validation set of data for one or more of the plurality of hidden layers, the activation function for each neuron in the analyzed layers to determine an activation score for each neuron; and ranking, on a layer type basis, each neuron in the analyzed layers based on the neuron's activation score to generate a layer specific ranking of neurons. The method further includes removing a number of lower ranked neurons from the DNN that does not result in the DNN after the removal of selected lower ranked neurons to fall outside of an accuracy threshold limit.
    Type: Application
    Filed: December 20, 2018
    Publication date: June 25, 2020
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Prakash Mohan Peranandam, Ramesh Sethu, Alena Rodionova
  • Publication number: 20190337451
    Abstract: Technical solutions are described herein for providing driver notification in a vehicle. An example system includes one or more sensors that measure one or more attributes of a remote object in a predetermined vicinity of the vehicle. The system further includes an output device that provides a notification to a driver. The system further includes a remote object monitoring system that generates a driver notification to be provided via the output device based on the attributes of the remote object. Generating the driver notification includes determining a recklessness score for the remote object based on the attributes of the remote object. Generating the driver notification further includes, in response to the recklessness score exceeding a predetermined threshold, generating the driver notification that comprises a directional information that provides a spatial awareness of a location of the remote object in relation to the vehicle.
    Type: Application
    Filed: May 2, 2018
    Publication date: November 7, 2019
    Inventors: Brent N. Bacchus, Lawrence A. Bush, Shifang Li, Evripidis Paraskevas, Prakash Mohan Peranandam, Yuchen Zhou
  • Patent number: 10399492
    Abstract: Technical solutions are described herein for adjusting a notification system of a vehicle. An example method includes receiving, by a controller, an occupant profile of an occupant of the vehicle. The method further includes adjusting, by the controller, a haptic array according to the occupant profile, the haptic array comprising a plurality of haptic actuators, the adjusting comprising activating a first subset of the haptic actuators and deactivating a second subset of the haptic actuators. Further, the method includes providing, by the haptic array, a notification to the occupant of the vehicle by providing a haptic feedback using the activated haptic actuators.
    Type: Grant
    Filed: May 2, 2018
    Date of Patent: September 3, 2019
    Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Evripidis Paraskevas, Brent N. Bacchus, Yuchen Zhou, Shifang Li, Prakash Mohan Peranandam, Lawrence A. Bush, Donald K. Grimm
  • Patent number: 10325021
    Abstract: A system and method for extracting a relevant phrase from text. The system and method may build a plurality of n-gram phrases using a seed from a seed list as a start, a middle, or an end of each n-gram phrase. The seed list may be directed to a specific vehicle system and each seed may indicate a symptom, part, or action to extract relevant phrases from vehicle information verbatims. The plurality of n-gram phrases may be filtered to obtain one or more relevant phrases. The filtering process may include calculating an external relevance factor, an internal relevance factor, or a context pattern relevance factor.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: June 18, 2019
    Assignee: GM Global Technology Operations LLC
    Inventors: Prakash Mohan Peranandam, Soumen De
  • Publication number: 20180365222
    Abstract: A system and method for extracting a relevant phrase from text. The system and method may build a plurality of n-gram phrases using a seed from a seed list as a start, a middle, or an end of each n-gram phrase. The seed list may be directed to a specific vehicle system and each seed may indicate a symptom, part, or action to extract relevant phrases from vehicle information verbatims. The plurality of n-gram phrases may be filtered to obtain one or more relevant phrases. The filtering process may include calculating an external relevance factor, an internal relevance factor, or a context pattern relevance factor.
    Type: Application
    Filed: June 19, 2017
    Publication date: December 20, 2018
    Inventors: Prakash Mohan Peranandam, Soumen De
  • Patent number: 10109115
    Abstract: A system and method of modifying a vehicle service database includes: accessing a database containing previously-received symptom text that has been associated with a vehicle identifier and one or more vehicular service solutions for the previously-received symptom text; determining a statistical likelihood that one or more additional vehicular service solutions apply to previously-received symptom text based on a correlation between the previously-received symptom text and additional vehicular service solutions; determining that the statistical likelihood is above a predetermined threshold; and associating the previously-received symptom text with the additional vehicular service solutions.
    Type: Grant
    Filed: March 11, 2015
    Date of Patent: October 23, 2018
    Assignee: GM Global Technology Operations LLC
    Inventors: Dnyanesh Rajpathak, Prakash Mohan Peranandam
  • Publication number: 20170235720
    Abstract: A system and method of identifying relevant service terms within service records includes: receiving service terms included in one or more service records at computer processing equipment; classifying the service terms into a group of likely relevant service terms and a group of likely irrelevant service terms using the computer processing equipment; and identifying the relevant service terms from the group of likely relevant service terms and ignoring the likely irrelevant service terms using the computer processing equipment.
    Type: Application
    Filed: February 11, 2016
    Publication date: August 17, 2017
    Inventors: Prakash Mohan PERANANDAM, Soumen DE, Dnyanesh G. RAJPATHAK
  • Publication number: 20160267723
    Abstract: A system and method of modifying a vehicle service database includes: accessing a database containing previously-received symptom text that has been associated with a vehicle identifier and one or more vehicular service solutions for the previously-received symptom text; determining a statistical likelihood that one or more additional vehicular service solutions apply to previously-received symptom text based on a correlation between the previously-received symptom text and additional vehicular service solutions; determining that the statistical likelihood is above a predetermined threshold; and associating the previously-received symptom text with the additional vehicular service solutions.
    Type: Application
    Filed: March 11, 2015
    Publication date: September 15, 2016
    Inventors: Dnyanesh Rajpathak, Prakash Mohan Peranandam
  • Patent number: 8683442
    Abstract: A method allows for testing software under test (SUT) with respect to a partial design model (PDM) having a boundary which differs from a boundary of the SUT. The method includes recording input information including the SUT, the PDM, and coverage criteria defining a required number of the test cases. Variables in the SUT are identified that correspond to boundary signals for the PDM. Test cases are extracted meeting the coverage criteria. The method may include generating additional test cases at the PDM level and mapping the additional cases with corresponding constraint functions to the boundary of the SUT using a forward/backward propagation and/or heuristics guided technique. A system for testing the SUT includes a host machine and memory. The host machine executes process instructions from memory to identify variables in the SUT that correspond to boundary signals for the PDM, and extracts test cases meeting the coverage criteria.
    Type: Grant
    Filed: September 21, 2011
    Date of Patent: March 25, 2014
    Assignee: GM Global Technology Operations LLC
    Inventors: Prakash Mohan Peranandam, Ambar A. Gadkari, Ramesh Sethu