Patents by Inventor Dinghua LI
Dinghua LI 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: 20240001921Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of a simulated vehicle, and providing a visual feedback of the simulated driving behavior of the simulated vehicle on a simulated road.Type: ApplicationFiled: September 20, 2023Publication date: January 4, 2024Inventors: Yixin YANG, Dinghua LI
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Patent number: 11820373Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of a simulated vehicle, and providing a visual feedback of the simulated driving behavior of the simulated vehicle on a simulated road.Type: GrantFiled: January 14, 2022Date of Patent: November 21, 2023Assignee: TUSIMPLE, INC.Inventors: Yixin Yang, Dinghua Li
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Publication number: 20230339473Abstract: Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.Type: ApplicationFiled: June 29, 2023Publication date: October 26, 2023Inventors: Junbo JING, Dinghua LI, Arda KURT, Chasen SHERMAN
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Patent number: 11691628Abstract: Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.Type: GrantFiled: February 1, 2021Date of Patent: July 4, 2023Assignee: TUSIMPLE, INC.Inventors: Junbo Jing, Dinghua Li, Arda Kurt, Chasen Sherman
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Publication number: 20230177336Abstract: The embodiments of this application provide a method and device for optimizing neural network. The method includes: binarizing and bit-packing input data of a convolution layer along a channel direction, and obtaining compressed input data; binarizing and bit-packing respectively each convolution kernel of the convolution layer along the channel direction, and obtaining each corresponding compressed convolution kernel; dividing the compressed input data sequentially in a convolutional computation order into blocks of the compressed input data with the same size of each compressed convolution kernel, wherein the data input to one time convolutional computation form a data block; and, taking a convolutional computation on each block of the compressed input data and each compressed convolution kernel sequentially, obtaining each convolutional result data, and obtaining multiple output data of the convolution layer according to each convolutional result data.Type: ApplicationFiled: February 1, 2023Publication date: June 8, 2023Inventors: Yuwei HU, Jiangming JIN, Lei SU, Dinghua LI
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Patent number: 11580377Abstract: The embodiments of this application provide a method and device for optimizing neural network. The method includes: binarizing and bit-packing input data of a convolution layer along a channel direction, and obtaining compressed input data; binarizing and bit-packing respectively each convolution kernel of the convolution layer along the channel direction, and obtaining each corresponding compressed convolution kernel; dividing the compressed input data sequentially in a convolutional computation order into blocks of the compressed input data with the same size of each compressed convolution kernel, wherein the data input to one time convolutional computation form a data block; and, taking a convolutional computation on each block of the compressed input data and each compressed convolution kernel sequentially, obtaining each convolutional result data, and obtaining multiple output data of the convolution layer according to each convolutional result data.Type: GrantFiled: June 21, 2018Date of Patent: February 14, 2023Assignees: TU SIMPLE, INC., BEIJING TUSEN ZHITU TECHNOLOGY CO., LTD.Inventors: Yuwei Hu, Jiangming Jin, Lei Su, Dinghua Li
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Publication number: 20220242413Abstract: Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.Type: ApplicationFiled: February 1, 2021Publication date: August 4, 2022Inventors: Junbo JING, Dinghua LI, Arda KURT, Chasen SHERMAN
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Publication number: 20220135035Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of a simulated vehicle, and providing a visual feedback of the simulated driving behavior of the simulated vehicle on a simulated road.Type: ApplicationFiled: January 14, 2022Publication date: May 5, 2022Inventors: Yixin YANG, Dinghua LI
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Patent number: 11254312Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of the autonomous vehicle, and providing a visual feedback of the simulated driving behavior of the autonomous vehicle on a simulated road.Type: GrantFiled: June 7, 2019Date of Patent: February 22, 2022Assignee: TUSIMPLE, INC.Inventors: Yixin Yang, Dinghua Li
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Patent number: 11055144Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving the problem associated with inconsistency in data inputted to a computing module in the multi-module scheduling technique in the related art.Type: GrantFiled: February 14, 2019Date of Patent: July 6, 2021Assignee: TUSIMPLE, INC.Inventors: Yifan Gong, Siyuan Liu, Dinghua Li, Jiangming Jin, Lei Su, Yixin Yang, Wei Liu, Zehua Huang
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Patent number: 10942771Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving at least one of the problems associated with the multi-module scheduling technique in the related art, i.e., inconsistency in data inputted to a computing module, and a significant delay or low throughput in data transmission between computing modules.Type: GrantFiled: February 14, 2019Date of Patent: March 9, 2021Assignee: TUSIMPLE, INC.Inventors: Yifan Gong, Siyuan Liu, Dinghua Li, Jiangming Jin, Lei Su, YiXin Yang, Wei Liu, Zehua Huang
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Publication number: 20200384998Abstract: Techniques for analysis of autonomous vehicle operations are described. As an example, a method of autonomous vehicle operation includes storing sensor data from one or more sensors located on the autonomous vehicle into a storage medium, performing, based on at least some of the sensor data, a simulated execution of one or more programs associated with the operations of the autonomous vehicle, generating, based on the simulated execution of the one or more programs and as part of a simulation, one or more control signal values that control a simulated driving behavior of the autonomous vehicle, and providing a visual feedback of the simulated driving behavior of the autonomous vehicle on a simulated road.Type: ApplicationFiled: June 7, 2019Publication date: December 10, 2020Inventors: Yixin Yang, Dinghua Li
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Publication number: 20190392042Abstract: The method of managing error data associated with a vehicle, comprising: storing error data in a memory; categorizing the error data via topic or time frame via a processor coupled to the memory; analyzing the error data into at least one topic thread or a time thread; selecting desired error data from the error data; convening the desired error data into readable information via the processor; and displaying the readable information via a user interface. A system of managing error data associated with a vehicle is also disclosed.Type: ApplicationFiled: June 20, 2018Publication date: December 26, 2019Inventors: YiXin Yang, Dinghua Li
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Publication number: 20190317804Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving at least one of the problems associated with the multi-module scheduling technique in the related art, i.e., inconsistency in data inputted to a computing module, and a significant delay or low throughput in data transmission between computing modules.Type: ApplicationFiled: February 14, 2019Publication date: October 17, 2019Inventors: Yifan GONG, Zehua HUANG, Jiangming JIN, Dinghua LI, Siyuan LIU, Wei LIU, Lei SU, YiXin YANG
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Publication number: 20190286489Abstract: The present disclosure provides a method, an apparatus and a system for multi-module scheduling, capable of solving the problem associated with inconsistency in data inputted to a computing module in the multi-module scheduling technique in the related art.Type: ApplicationFiled: February 14, 2019Publication date: September 19, 2019Inventors: Yifan GONG, Zehua HUANG, Jiangming JIN, Dinghua LI, Siyuan LIU, Wei LIU, Lei SU, YiXin YANG
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Publication number: 20180373981Abstract: The embodiments of this application provide a method and device for optimizing neural network. The method includes: binarizing and bit-packing input data of a convolution layer along a channel direction, and obtaining compressed input data; binarizing and bit-packing respectively each convolution kernel of the convolution layer along the channel direction, and obtaining each corresponding compressed convolution kernel; dividing the compressed input data sequentially in a convolutional computation order into blocks of the compressed input data with the same size of each compressed convolution kernel, wherein the data input to one time convolutional computation form a data block; and, taking a convolutional computation on each block of the compressed input data and each compressed convolution kernel sequentially, obtaining each convolutional result data, and obtaining multiple output data of the convolution layer according to each convolutional result data.Type: ApplicationFiled: June 21, 2018Publication date: December 27, 2018Inventors: Yuwei HU, Jiangming JIN, Lei SU, Dinghua LI