Patents by Inventor En Pan
En Pan 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: 11987431Abstract: A top-opening substrate carrier comprises a container body, a door member and at least one latching mechanism. The latching mechanism includes a rotary drive member, a first driven cam, a second driven cam, a first connecting rod, a second connecting rod, two longitudinal latching arms and two lateral latching arms. The first driven cam and the second driven cam are disposed at two sides of the rotary drive member. When the rotary drive member is rotated by force, it links and activates the first connecting rod and the second connecting rod to synchronously drive the first driven cam and the second driven cam to rotate, thereby driving the two longitudinal latching arms and the two lateral latching arms to project towards locking holes of the container body and locked, or retract from the locking holes of the container body and unlocked.Type: GrantFiled: March 27, 2023Date of Patent: May 21, 2024Assignee: GUDENG PRECISION INDUSTRIAL CO., LTD.Inventors: Ming-Chien Chiu, Yung-Chin Pan, Cheng-En Chung, Chih-Ming Lin, Po-Ting Lee, Wei-Chien Liu, Tzu-Ning Huang
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Patent number: 11954011Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.Type: GrantFiled: October 28, 2020Date of Patent: April 9, 2024Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.Inventors: Yongkang Xie, Ruyue Ma, Zhou Xin, Hao Cao, Kuan Shi, Yu Zhou, Yashuai Li, En Shi, Zhiquan Wu, Zihao Pan, Shupeng Li, Mingren Hu, Tian Wu
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Publication number: 20240078362Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. These systems and methods can use a neural network based predictor, that has been trained to determine a temperature rise across an entire IC. The training of the predictor can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC), each template associated with location parameters to position the template in the IC; performing thermal simulations for each respective template of the IC, each thermal simulation determining an output based on a power pattern of tiles of the respective template, the output indicating a change in temperature of a center tile of the respective template relative to a base temperature of the integrated circuit; and training a neural network.Type: ApplicationFiled: November 13, 2023Publication date: March 7, 2024Inventors: Norman CHANG, Hsiming PAN, Jimin WEN, Deqi ZHU, Wenbo XIA, Akhilesh KUMAR, Wen-Tze CHUANG, En-Cih YANG, Karthik SRINIVASAN, Ying-Shiun LI
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Patent number: 11914931Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. The methods can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC); performing a thermal simulation for each respective template of the IC based on a sequence of power patterns of tiles of the respective template; and training a neural network with a plurality of training data collected via thermal simulations performed for the templates of the IC. These systems and methods can use a machine learning predictor, that has been trained to determine a transient temperature rise across an entire IC, and then append the determined transient temperature rise to a system level thermal profile of the IC.Type: GrantFiled: December 30, 2019Date of Patent: February 27, 2024Assignee: ANSYS, INC.Inventors: Akhilesh Kumar, Norman Chang, Hsiming Pan, Jimin Wen, Deqi Zhu, Wenbo Xia, Wen-Tze Chuang, En-Cih Yang, Karthik Srinivasan, Ying-Shiun Li
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Patent number: 11810367Abstract: Described herein are systems and methods for determining if a vehicle is parked. In one example, a system includes a processor, a sensor system, and a memory. Both the sensor system and the memory are in communication with the processor. The memory includes a parking determination module having instructions that, when executed by the processor, cause the processor to determine, using a random forest model, when the vehicle is parked based on vehicle estimated features, vehicle learned features, and vehicle taillight features of the vehicle that are based on sensor data from the sensor system.Type: GrantFiled: June 29, 2021Date of Patent: November 7, 2023Assignee: Toyota Research Institute, Inc.Inventors: Chao Fang, Kuan-Hui Lee, Logan Michael Ellis, Jia-En Pan, Kun-Hsin Chen, Sudeep Pillai, Daniele Molinari, Constantin Franziskus Dominik Hubmann, T. Wolfram Burgard
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Patent number: 11776281Abstract: A traffic light classification system for a vehicle includes an image capture device to capture an image of a scene that includes a traffic light with multiple light signals, a processor, and a memory communicably coupled to the processor and storing a first neural network module including instructions that when executed by the processor cause the processor to determine, based on inputting the image into a neural network, a semantic keypoint for each light signal in the traffic light, and determine, based on each semantic keypoint, a classification state of each light signal.Type: GrantFiled: December 22, 2020Date of Patent: October 3, 2023Assignee: Toyota Research Institute, Inc.Inventors: Kun-Hsin Chen, Kuan-Hui Lee, Jia-En Pan, Sudeep Pillai
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Publication number: 20220414388Abstract: Described herein are systems and methods for determining if a vehicle is parked. In one example, a system includes a processor, a sensor system, and a memory. Both the sensor system and the memory are in communication with the processor. The memory includes a parking determination module having instructions that, when executed by the processor, cause the processor to determine, using a random forest model, when the vehicle is parked based on vehicle estimated features, vehicle learned features, and vehicle taillight features of the vehicle that are based on sensor data from the sensor system.Type: ApplicationFiled: June 29, 2021Publication date: December 29, 2022Inventors: Chao Fang, Kuan-Hui Lee, Logan Michael Ellis, Jia-En Pan, Kun-Hsin Chen, Sudeep Pillai, Daniele Molinari, Constantin Franziskus Dominik Hubmann, T. Wolfram Burgard
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Publication number: 20220284222Abstract: In one embodiment, a vehicle light classification system captures a sequence of images of a scene that includes a front/rear view of a vehicle with front/rear-side lights, determines semantic keypoints, in the images and associated with the front/rear-side lights, based on inputting the images into a first neural network, obtains multiple difference images that are each a difference between successive images from among the sequence of images, the successive images being aligned based on their respective semantic keypoints, and determines a classification of the front/rear-side lights based at least in part on the difference images by inputting the difference images into a second neural network.Type: ApplicationFiled: March 4, 2021Publication date: September 8, 2022Inventors: Jia-En Pan, Kuan-Hui Lee, Chao Fang, Kun-Hsin Chen, Arjun Bhargava, Sudeep Pillai
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Patent number: 11430218Abstract: A bird's eye view feature map, augmented with semantic information, can be used to detect an object in an environment. A point cloud data set augmented with the semantic information that is associated with identities of classes of objects can be obtained. Features can be extracted from the point cloud data set. Based on the features, an initial bird's eye view feature map can be produced. Because operations performed on the point cloud data set to extract the features or to produce the initial bird's eye view feature map can have an effect of diminishing an ability to distinguish the semantic information in the initial bird's eye view feature map, the initial bird's eye view feature map can be augmented with the semantic information to produce an augmented bird's eye view feature map. Based on the augmented bird's eye view feature map, the object in the environment can be detected.Type: GrantFiled: December 31, 2020Date of Patent: August 30, 2022Assignee: Toyota Research Institute, Inc.Inventors: Jie Li, Rares A. Ambrus, Vitor Guizilini, Adrien David Gaidon, Jia-En Pan
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Publication number: 20220207270Abstract: A bird's eye view feature map, augmented with semantic information, can be used to detect an object in an environment. A point cloud data set augmented with the semantic information that is associated with identities of classes of objects can be obtained. Features can be extracted from the point cloud data set. Based on the features, an initial bird's eye view feature map can be produced. Because operations performed on the point cloud data set to extract the features or to produce the initial bird's eye view feature map can have an effect of diminishing an ability to distinguish the semantic information in the initial bird's eye view feature map, the initial bird's eye view feature map can be augmented with the semantic information to produce an augmented bird's eye view feature map. Based on the augmented bird's eye view feature map, the object in the environment can be detected.Type: ApplicationFiled: December 31, 2020Publication date: June 30, 2022Inventors: Jie Li, Rares A. Ambrus, Vitor Guizilini, Adrien David Gaidon, Jia-En Pan
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Publication number: 20220198204Abstract: In one embodiment, a traffic light classification system for a vehicle, includes an image capture device to capture an image of a scene that includes a traffic light with multiple light signals, a processor, and a memory communicably coupled to the processor and storing a first neural network module including instructions that when executed by the processor cause the processor to determine, based on inputting the image into a neural network, a semantic keypoint for each light signal in the traffic light, and determine, based on each semantic keypoint, a classification state of each light signal.Type: ApplicationFiled: December 22, 2020Publication date: June 23, 2022Inventors: Kun-Hsin Chen, Kuan-Hui Lee, Jia-En Pan, Sudeep Pillai
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Patent number: D892771Type: GrantFiled: June 26, 2019Date of Patent: August 11, 2020Assignee: HUAWEI TECHNOLOGIES CO., LTD.Inventors: Zhifeng Zhao, En Pan, Xianchun Zhang, Shiyang Hong