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公开(公告)号：US20230139521A1
公开(公告)日：2023-05-04
申请号：US17517260
申请日：2021-11-02
Applicant: GM Global Technology Operations LLC
Inventor： Wei Tong , Shige Wang , Ramesh Sethu , Jeffrey D. Scheu , Prashanth Radhakrishan , Upali P. Mudalige , Ryan Ahmed
Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive, at a first neural network, unlabeled sensor data, wherein the first neural network generates output based on the unlabeled sensor data, receive, at a second neural network, the unlabeled sensor data, wherein the second neural network generates output based on the unlabeled sensor data during a validation mode, the second neural network different from the first neural network, compare the output generated by the first neural network with the output generated by the second neural network, and generate an alert when a difference between the output generated by the first neural network and the output generated by the second neural network is greater than a predetermined comparison threshold.
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公开(公告)号：US20230065282A1
公开(公告)日：2023-03-02
申请号：US17446521
申请日：2021-08-31
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Prakash Mohan Peranandam , Ramesh Sethu , Arun Adiththan , Joseph G D Ambrosio
Abstract: Methods and systems are provided for indicating a driving situation including at least one vehicle. The system includes a first processor, a second processor and an external device. A first processor obtains driving information, encodes the driving information and communicates the encoded driving information to the second processor. The second processor receives and decodes the encoded driving information. The second processor further allocates a predefined indication pattern to the decoded driving information, wherein the predefined indication pattern includes a graphical representation of an upcoming driving event involving the vehicle. An external device visualizes a current driving situation including the vehicle together with the predefined indication pattern.
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公开(公告)号：US10534368B2
公开(公告)日：2020-01-14
申请号：US15632802
申请日：2017-06-26
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ramesh Sethu , Arun Adiththan , Shuqing Zeng , Upali P. Mudalige
IPC: G05D1/02 , H04W4/04 , H04W4/46 , H04W84/18 , H04W4/02 , B60W30/09 , B60W30/12 , B60W30/18 , B60W30/14 , H04W4/38
Abstract: A crowdsourced virtual sensor generator is provided which could be generated by a vehicle or provided to the vehicle as, for example, a service. The crowdsourced virtual sensor generator may include, but is not limited to, a communication system configured to receive contributing vehicle sensor data from one or more contributing vehicles, a location of the one or more contributing vehicles and a target vehicle, and a processor, the processor configured to filter the received contributing vehicle sensor data based upon the location of the one or more contributing vehicles and the location of the target vehicle, aggregate the filtered contributing vehicle sensor data into at least one of a data-specific dataset and an application-specific data set, and generate a virtual sensor for the target vehicle, the virtual sensor processing the filtered and aggregated contributing vehicle sensor data to generate output data relative to the location of the target vehicle.
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公开(公告)号：US20250074453A1
公开(公告)日：2025-03-06
申请号：US18457609
申请日：2023-08-29
Applicant: GM Global Technology Operations LLC
Inventor： Ramesh Sethu , Rami Ismail Debouk , Joseph D'Ambrosio
IPC: B60W60/00
Abstract: The method for autonomous driving includes receiving vehicle data about an autonomous vehicle, creating, using the vehicle data, a multi-domain ontology data structure. The multi-domain ontology data structure includes information about tasks, objects, missions, events, and responses of the autonomous vehicle in a plurality of operational design domains. The method further includes generating use cases, requirements, and test cases for the autonomous vehicle based on the multi-domain ontology data structure. The method may include controlling the autonomous vehicle in accordance with the use cases generated using the multi-domain ontology data structure.
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公开(公告)号：US20250074443A1
公开(公告)日：2025-03-06
申请号：US18460952
申请日：2023-09-05
Applicant: GM Global Technology Operations LLC , University of Ottawa
Inventor： Ramesh Sethu , Arun Adiththan , Md Mhafuzul Islam , Prakash M. Peranandam , Amirhossein Zolfagharian , Zohreh Aghababaeyan
Abstract: A system for providing situational recommendations within a vehicle includes a system controller in communication with a plurality of onboard sensors, the plurality of onboard sensors adapted to collect real-time data related to a location of the vehicle and operating conditions of the vehicle, a database in communication with the system controller adapted to store data related to past actions and data related to a location of the vehicle and operating conditions of the vehicle when such past actions occurred, the system controller including a driver specific machine learning model adapted to predict a desired action based on the real-time data related to the location and operating conditions of the vehicle and data from the database, the system controller further adapted to initiate the predicted desired action, receive input from an occupant within the vehicle, and update the driver specific machine learning model.
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Patent Agency Ranking
公开(公告)号：US20240143599A1
公开(公告)日：2024-05-02
申请号：US18051180
申请日：2022-10-31
Applicant: GM Global Technology Operations LLC
Inventor： Prakash Mohan Peranandam , Ramesh Sethu , Arun Adiththan , Paolo Giusto
IPC: G06F16/2457 , G01C21/00 , G06F16/2453 , G06Q30/0601
CPC classification number: G06F16/24575 , G01C21/3841 , G06F16/24539 , G06Q30/0609
Abstract: A resource sharing marketplace platform includes a back-office server in wireless communication with a controller adapted to run a plurality of integrated systems, and is adapted to authenticate identification of the user and facilitate user log-in, receive a request from a user, establish dynamic parameters related to the request, break down the request from the user into a plurality of serviceable micro-queries by decomposing at least one request for multivariate data into a plurality of requests for multivariate and univariate data, and develop a contract including key clauses and reward constraints, identify, from a group of registered service providers, a sub-group of registered service providers that are capable of providing data related to at least one micro-query, and send a request for data to the sub-group, collect data from a plurality of acceptable service providers, and repack the individual data to provide a response to the user.
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公开(公告)号：US20230365019A1
公开(公告)日：2023-11-16
申请号：US17741555
申请日：2022-05-11
Applicant: GM Global Technology Operations LLC
Inventor： Aravind Gangumalla , Anil K. Sachdev , Anil Bika , Nathan Thompson , Ramesh Sethu
Abstract: A method for using idle computing power of an electric vehicle includes receiving computing tasks while the electric vehicle is electrically connected to a charging infrastructure, accepting to perform the computing tasks while the electric vehicle is electrically connected to the charging infrastructure, and in response to accepting to perform the computing tasks, performing the computing tasks while the electric vehicle is electrically connected to the charging infrastructure.
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18.发明申请公开(公告)号：US20230046908A1
公开(公告)日：2023-02-16
申请号：US17445121
申请日：2021-08-16
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Arun Adiththan , Ramesh Sethu , Prakash Mohan Peranandam , Joseph G. D Ambrosio
Abstract: Systems and methods for a cloud-based server system configured for an On-Demand Autonomy (ODA) service are disclosed. The cloud-based server in communication with a first vehicle and a second vehicle to receive a trip request for the ODA service from the first vehicle, and seek an agreement to establish a virtual link with the first vehicle to the second vehicle by identifying one second vehicle by broadcasting the trip request to the group of second vehicles; identifying a second vehicle from submitted responses based on an application using a modeled clone with a set of functionalities to perform a matching operation between the first and second vehicles; and coordinating responses based on results of the matching operation to confirm an acceptance of the agreement; and creating a trip plan for the trip request for the ODA service based on a set of preferences received from each of the vehicles.
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公开(公告)号：US20220261627A1
公开(公告)日：2022-08-18
申请号：US17174750
申请日：2021-02-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Ramesh Sethu , Prakash Mohan Peranandam , Rami I. Debouk , Arun Adiththan , Guangyu J. Zou
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.
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20.发明申请公开(公告)号：US20180081681A1
公开(公告)日：2018-03-22
申请号：US15268011
申请日：2016-09-16
Applicant: GM Global Technology Operations LLC
Inventor： Ramesh Sethu
CPC classification number: G06F8/74 , G06F8/35 , G06F11/3608 , G06F11/3636
Abstract: A system, for use in reverse-engineering initial input initial code to a high-level equivalent model. The system includes a hardware-based processing unit and a non-transitory computer-readable storage component including a function-extraction module that, when executed by the hardware-based processing unit (i) generates, based on the input initial code and an input variable list, a list of output and state transition functions per task; and (ii) generates, based on an input task table, a scheduler-automaton structure. The storage component also includes a function-modeling module that, when executed, generates, using the scheduler automaton and the list of output and state transition functions per task, the high-level equivalent model of the input initial code. Various aspects of the present technology includes the non-transitory computer-readable storage devices configured to perform the operations described, and processes including the operations performed by these systems, storage devices, and algorithms.
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