Patents by Inventor Gregory P. Meyer
Gregory P. Meyer 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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Publication number: 20240144010Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for detecting objects are provided. For example, the disclosed technology can obtain a representation of sensor data associated with an environment surrounding a vehicle. Further, the sensor data can include sensor data points. A point classification and point property estimation can be determined for each of the sensor data points and a portion of the sensor data points can be clustered into an object instance based on the point classification and point property estimation for each of the sensor data points. A collection of point classifications and point property estimations can be determined for the portion of the sensor data points clustered into the object instance. Furthermore, object instance property estimations for the object instance can be determined based on the collection of point classifications and point property estimations for the portion of the sensor data points clustered into the object instance.Type: ApplicationFiled: October 30, 2023Publication date: May 2, 2024Inventors: Eric Randall Kee, Carlos Vallespi-Gonzalez, Gregory P. Meyer, Ankit Laddha
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Patent number: 11885910Abstract: Systems and methods for detecting and classifying objects proximate to an autonomous vehicle can include a sensor system and a vehicle computing system. The sensor system includes at least one LIDAR system configured to transmit ranging signals relative to the autonomous vehicle and to generate LIDAR data. The vehicle computing system receives the LIDAR data from the sensor system. The vehicle computing system also determines at least a range-view representation of the LIDAR data and a top-view representation of the LIDAR data, wherein the range-view representation contains a fewer number of total data points than the top-view representation. The vehicle computing system further detects objects of interest in the range-view representation of the LIDAR data and generates a bounding shape for each of the detected objects of interest in the top-view representation of the LIDAR data.Type: GrantFiled: October 9, 2020Date of Patent: January 30, 2024Assignee: UATC, LLCInventors: Carlos Vallespi-Gonzalez, Ankit Laddha, Gregory P. Meyer, Eric Randall Kee
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Patent number: 11836623Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for detecting objects are provided. For example, the disclosed technology can obtain a representation of sensor data associated with an environment surrounding a vehicle. Further, the sensor data can include sensor data points. A point classification and point property estimation can be determined for each of the sensor data points and a portion of the sensor data points can be clustered into an object instance based on the point classification and point property estimation for each of the sensor data points. A collection of point classifications and point property estimations can be determined for the portion of the sensor data points clustered into the object instance. Furthermore, object instance property estimations for the object instance can be determined based on the collection of point classifications and point property estimations for the portion of the sensor data points clustered into the object instance.Type: GrantFiled: November 1, 2021Date of Patent: December 5, 2023Assignee: UATC, LLCInventors: Eric Randall Kee, Carlos Vallespi-Gonzalez, Gregory P. Meyer, Ankit Laddha
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Patent number: 11762094Abstract: Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.Type: GrantFiled: November 6, 2020Date of Patent: September 19, 2023Assignee: UATC, LLCInventors: Ankit Laddha, Gregory P. Meyer, Jake Scott Charland, Shivam Gautam, Shreyash Pandey, Carlos Vallespi-Gonzalez, Carl Knox Wellington
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Patent number: 11577723Abstract: Systems, device, and methods for trajectory association and tracking are provided. A method can include obtaining input data indicative of a respective trajectory for each of one or more first objects for a first time step and input data indicative of a respective trajectory for each of one or more second objects for a second time step subsequent to the first time step. The method can include generating, using a machine-learned model, a temporally-consistent trajectory for at least one of the one or more first objects or the one or more second objects based at least in part on the input data and determining a third predicted trajectory for the at least one of the one or more first objects or the one or more second objects for at least the second time step based at least in part on the temporally-consistent trajectory.Type: GrantFiled: July 24, 2020Date of Patent: February 14, 2023Assignee: UATC, LLCInventors: Shivam Gautam, Sida Zhang, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
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Patent number: 11334753Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, the disclosed technology can include receiving sensor data and map data. The sensor data can include information associated with an environment detected by sensors of a vehicle. The map data can include information associated with traffic signals in the environment. Further, an input representation can be generated based on the sensor data and the map data. The input representation can include regions of interest associated with images of the traffic signals. States of the traffic signals in the environment can be determined, based on the input representation and a machine-learned model. Traffic signal state data that includes a determinative state of the traffic signals can be generated based on the states of the traffic signals.Type: GrantFiled: July 18, 2018Date of Patent: May 17, 2022Assignee: UATC, LLCInventors: Carlos Vallespi-Gonzalez, Joseph Lawrence Amato, Gregory P. Meyer
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Publication number: 20220051035Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for detecting objects are provided. For example, the disclosed technology can obtain a representation of sensor data associated with an environment surrounding a vehicle. Further, the sensor data can include sensor data points. A point classification and point property estimation can be determined for each of the sensor data points and a portion of the sensor data points can be clustered into an object instance based on the point classification and point property estimation for each of the sensor data points. A collection of point classifications and point property estimations can be determined for the portion of the sensor data points clustered into the object instance. Furthermore, object instance property estimations for the object instance can be determined based on the collection of point classifications and point property estimations for the portion of the sensor data points clustered into the object instance.Type: ApplicationFiled: November 1, 2021Publication date: February 17, 2022Inventors: Eric Randall Kee, Carlos Vallespi-Gonzalez, Gregory P. Meyer, Ankit Laddha
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Publication number: 20210402991Abstract: Systems, devices, and methods for trajectory association and tracking are provided. A method can include method can include obtaining input data indicative of a respective trajectory for each of one or more first objects for a first time step and input data indicative of a respective trajectory for each of one or more second objects for a second time step subsequent to the first time step. The method can include generating, using a machine-learned model, a temporally-consistent trajectory for at least one of the one or more first objects or the one or more second objects based at least in part on the input data and determining a third predicted trajectory for the at least one of the one or more first objects or the one or more second objects for at least the second time step based at least in part on the temporally-consistent trajectory.Type: ApplicationFiled: July 24, 2020Publication date: December 30, 2021Inventors: Shivam Gautam, Sidney Zhang, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker
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Patent number: 11164016Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for detecting objects are provided. For example, the disclosed technology can obtain a representation of sensor data associated with an environment surrounding a vehicle. Further, the sensor data can include sensor data points. A point classification and point property estimation can be determined for each of the sensor data points and a portion of the sensor data points can be clustered into an object instance based on the point classification and point property estimation for each of the sensor data points. A collection of point classifications and point property estimations can be determined for the portion of the sensor data points clustered into the object instance. Furthermore, object instance property estimations for the object instance can be determined based on the collection of point classifications and point property estimations for the portion of the sensor data points clustered into the object instance.Type: GrantFiled: July 18, 2018Date of Patent: November 2, 2021Assignee: UATC, LLCInventors: Eric Randall Kee, Carlos Vallespi-Gonzalez, Gregory P. Meyer, Ankit Laddha
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Publication number: 20210278539Abstract: Systems and methods for detecting objects and predicting their motion are provided. In particular, a computing system can obtain a plurality of sensor sweeps. The computing system can determine movement data associated with movement of the autonomous vehicle. For each sensor sweep, the computing system can generate an image associated with the sensor sweep. The computing system can extract, using the respective image as input to one or more machine-learned models, feature data from the respective image. The computing system can transform the feature data into a coordinate frame associated with a next time step. The computing system can generate a fused image. The computing system can generate a final fused image. The computing system can predict, based, at least in part, on the final fused representation of the plurality of sensors sweeps from the plurality of sensor sweeps, movement associated with the feature data at one or more time steps in the future.Type: ApplicationFiled: November 6, 2020Publication date: September 9, 2021Inventors: Ankit Laddha, Gregory P. Meyer, Jake Scott Charland, Shivam Gautam, Shreyash Pandey, Carlos Vallespi-Gonzalez, Carl Knox Wellington
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Publication number: 20210025989Abstract: Systems and methods for detecting and classifying objects proximate to an autonomous vehicle can include a sensor system and a vehicle computing system. The sensor system includes at least one LIDAR system configured to transmit ranging signals relative to the autonomous vehicle and to generate LIDAR data. The vehicle computing system receives the LIDAR data from the sensor system. The vehicle computing system also determines at least a range-view representation of the LIDAR data and a top-view representation of the LIDAR data, wherein the range-view representation contains a fewer number of total data points than the top-view representation. The vehicle computing system further detects objects of interest in the range-view representation of the LIDAR data and generates a bounding shape for each of the detected objects of interest in the top-view representation of the LIDAR data.Type: ApplicationFiled: October 9, 2020Publication date: January 28, 2021Inventors: Carlos Vallespi-Gonzalez, Ankit Laddha, Gregory P. Meyer, Eric Randall Kee
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Patent number: 10809361Abstract: Systems and methods for detecting and classifying objects proximate to an autonomous vehicle can include a sensor system and a vehicle computing system. The sensor system includes at least one LIDAR system configured to transmit ranging signals relative to the autonomous vehicle and to generate LIDAR data. The vehicle computing system receives the LIDAR data from the sensor system. The vehicle computing system also determines at least a range-view representation of the LIDAR data and a top-view representation of the LIDAR data, wherein the range-view representation contains a fewer number of total data points than the top-view representation. The vehicle computing system further detects objects of interest in the range-view representation of the LIDAR data and generates a bounding shape for each of the detected objects of interest in the top-view representation of the LIDAR data.Type: GrantFiled: February 28, 2018Date of Patent: October 20, 2020Assignee: UATC, LLCInventors: Carlos Vallespi-Gonzalez, Ankit Laddha, Gregory P Meyer, Eric Randall Kee
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Publication number: 20190354782Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for detecting objects are provided. For example, the disclosed technology can obtain a representation of sensor data associated with an environment surrounding a vehicle. Further, the sensor data can include sensor data points. A point classification and point property estimation can be determined for each of the sensor data points and a portion of the sensor data points can be clustered into an object instance based on the point classification and point property estimation for each of the sensor data points. A collection of point classifications and point property estimations can be determined for the portion of the sensor data points clustered into the object instance. Furthermore, object instance property estimations for the object instance can be determined based on the collection of point classifications and point property estimations for the portion of the sensor data points clustered into the object instance.Type: ApplicationFiled: July 18, 2018Publication date: November 21, 2019Inventors: Eric Randall Kee, Carlos Vallespi-Gonzalez, Gregory P. Meyer, Ankit Laddha
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Publication number: 20190332875Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, the disclosed technology can include receiving sensor data and map data. The sensor data can include information associated with an environment detected by sensors of a vehicle. The map data can include information associated with traffic signals in the environment. Further, an input representation can be generated based on the sensor data and the map data. The input representation can include regions of interest associated with images of the traffic signals. States of the traffic signals in the environment can be determined, based on the input representation and a machine-learned model. Traffic signal state data that includes a determinative state of the traffic signals can be generated based on the states of the traffic signals.Type: ApplicationFiled: July 18, 2018Publication date: October 31, 2019Inventors: Carlos Vallespi-Gonzalez, Joseph Lawrence Amato, Gregory P. Meyer
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Patent number: 10436423Abstract: A holder includes a socket. An insert can be positioned in the socket and includes two terminals configured to engage pads on an LED array. The insert and holder configuration can be configured to provide electrical isolation for a COB LED array so that additional flexibility in the selection of power suppliers is possible.Type: GrantFiled: January 12, 2015Date of Patent: October 8, 2019Assignee: Molex, LLCInventor: Gregory P. Meyer
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Patent number: 10311589Abstract: One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.Type: GrantFiled: November 27, 2017Date of Patent: June 4, 2019Assignee: NVIDIA CORPORATIONInventors: Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Nagilla Dikpal Reddy, Jan Kautz
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Patent number: 10151459Abstract: A holder is provided to support a light emitting diode (LED) array in position. In an embodiment the holder includes a terminal that is insert-molded into a housing. In an alternative embodiment, a terminal can be stitch into a housing and secured with a shield. In the latter embodiment the holder can be configured to provide a desired amount of electrical isolation between the terminal and potential shorting surfaces so as to meet creepage and clearance requirements, thus allowing the use of additional power supplies.Type: GrantFiled: November 6, 2014Date of Patent: December 11, 2018Assignee: Molex, LLCInventor: Gregory P. Meyer
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Publication number: 20180348346Abstract: Systems and methods for detecting and classifying objects proximate to an autonomous vehicle can include a sensor system and a vehicle computing system. The sensor system includes at least one LIDAR system configured to transmit ranging signals relative to the autonomous vehicle and to generate LIDAR data. The vehicle computing system receives the LIDAR data from the sensor system. The vehicle computing system also determines at least a range-view representation of the LIDAR data and a top-view representation of the LIDAR data, wherein the range-view representation contains a fewer number of total data points than the top-view representation. The vehicle computing system further detects objects of interest in the range-view representation of the LIDAR data and generates a bounding shape for each of the detected objects of interest in the top-view representation of the LIDAR data.Type: ApplicationFiled: February 28, 2018Publication date: December 6, 2018Inventors: Carlos Vallespi-Gonzalez, Ankit Laddha, Gregory P Meyer, Eric Randall Kee
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Publication number: 20180075611Abstract: One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.Type: ApplicationFiled: November 27, 2017Publication date: March 15, 2018Inventors: Gregory P. MEYER, Shalini GUPTA, Iuri FROSIO, Nagilla Dikpal REDDY, Jan KAUTZ
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Patent number: 9830703Abstract: One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.Type: GrantFiled: August 12, 2015Date of Patent: November 28, 2017Assignee: NVIDIA CorporationInventors: Gregory P. Meyer, Shalini Gupta, Iuri Frosio, Nagilla Dikpal Reddy, Jan Kautz