Patents by Inventor Tiancheng Lou
Tiancheng Lou 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: 11892841Abstract: A set of sensor information may include first sensor information generated based on a first sensor of a first vehicle and second sensor information generated based on a second sensor of a second vehicle. Individual sensor information may characterize positions of objects in an environment of individual sensors. Relevant sensor information for a vehicle may be determined based on the set of sensor information and a position of the vehicle. The relevant sensor information may characterize positions of objects in a maneuver environment of the vehicle. A desired navigation of the vehicle in the maneuver environment of the vehicle may be determined based on the relevant sensor information. An instruction may be provided to the vehicle based on the desired navigation of the vehicle. The instruction may characterize one or more maneuvers to be performed by the vehicle to execute the desired navigation.Type: GrantFiled: May 21, 2020Date of Patent: February 6, 2024Assignee: Pony AI Inc.Inventors: Jianan Wang, Nengxiu Deng, Xiang Yu, Tiancheng Lou, Jun Peng, Kai Chen, Hao Song
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Patent number: 11774978Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.Type: GrantFiled: July 18, 2022Date of Patent: October 3, 2023Assignee: Pony AI Inc.Inventors: Hao Song, Jun Peng, Nengxiu Deng, Sinan Xiao, Tao Qin, Tiancheng Lou, Tianyi Li, Xiang Yu, Yubo Zhang
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Patent number: 11733072Abstract: A sensor enclosure comprises a cover and a structure. The structure can be encased by the cover. The structure comprises a frame, a ring, and one or more anchoring posts. The frame can be configured to mount one or more sensors. The ring, disposed peripherally to the frame, can be operatively coupled to the cover. The ring can include a drainage ring plate that drains rainwater accumulated on the cover away from the sensor enclosure. The one or more anchoring posts, disposed underneath the frame and the ring, can be used to anchor the sensor enclosure to a vehicle.Type: GrantFiled: January 22, 2020Date of Patent: August 22, 2023Assignee: Pony AI Inc.Inventors: Zhongnan Hu, Zuoteng Chen, Nengxiu Deng, Cheng Jin, Kai Chen, Yubo Zhang, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11716542Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.Type: GrantFiled: April 25, 2022Date of Patent: August 1, 2023Assignee: Pony AI Inc.Inventors: Kai Chen, Jun Peng, Tiancheng Lou, Xiang Yu, Zhuo Zhang, Hao Song, Sinan Xiao, Yiming Liu, Tianyi Li
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Publication number: 20230228599Abstract: A sensor enclosure comprises a cover and a structure. The structure can be encased by the cover. The structure comprises a frame, a ring, and one or more anchoring posts. The frame can be configured to mount one or more sensors. The ring, disposed peripherally to the frame, can be operatively coupled to the cover. The ring can include a drainage ring plate that drains rainwater accumulated on the cover away from the sensor enclosure. The one or more anchoring posts, disposed underneath the frame and the ring, can be used to anchor the sensor enclosure to a vehicle.Type: ApplicationFiled: January 22, 2020Publication date: July 20, 2023Inventors: Zhongnan Hu, Zuoteng Chen, Nengxiu Deng, Cheng Jin, Kai Chen, Yubo Zhang, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11609108Abstract: A sensor enclosure comprises a cover and a structure. The structure can be encased by the cover. The structure comprises a frame, a ring, and one or more anchoring posts. The frame can be configured to mount one or more sensors. The ring, disposed peripherally to the frame, can be operatively coupled to the cover. The ring can include a drainage ring plate that drains rainwater accumulated on the cover away from the sensor enclosure. The one or more anchoring posts, disposed underneath the frame and the ring, can be used to anchor the sensor enclosure to a vehicle.Type: GrantFiled: January 22, 2020Date of Patent: March 21, 2023Assignee: Pony AI Inc.Inventors: Zhongnan Hu, Zuoteng Chen, Nengxiu Deng, Cheng Jin, Kai Chen, Yubo Zhang, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11560122Abstract: A sensor enclosure comprising a domed cover and a base. The base can be encased by the domed cover. The base comprises an inner frame, an outer frame, one or more wipers, and a powertrain. The inner frame can provide surfaces for one or more sensors. The outer frame, disposed underneath the inner frame, the outer frame includes a slewing ring. The slewing ring comprises an inner ring to which the domed cover is attached and an outer ring attached to the outer frame. The one or more wipers extends vertically from the outer frame, each wiper having a first end attached to the outer frame and a second end attached to a support ring, and each wiper making a contact with the dome cover. The powertrain, disposed within the outer frame, configured to rotate the ring and the dome cover attached to the inner ring.Type: GrantFiled: December 28, 2021Date of Patent: January 24, 2023Assignee: Pony AI Inc.Inventors: Zhongnan Hu, Zuoteng Chen, Nengxiu Deng, Cheng Jin, Kai Chen, Yubo Zhang, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11529950Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.Type: GrantFiled: September 8, 2020Date of Patent: December 20, 2022Assignee: Pony AI Inc.Inventors: Bo Xiao, Yiming Liu, Sinan Xiao, Xiang Yu, Tiancheng Lou, Jun Peng, Jie Hou, Zhuo Zhang, Hao Song
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Publication number: 20220350339Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.Type: ApplicationFiled: July 18, 2022Publication date: November 3, 2022Inventors: Hao Song, Jun Peng, Nengxiu Deng, Sinan Xiao, Tao Qin, Tiancheng Lou, Tianyi Li, Xiang Yu, Yubo Zhang
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Patent number: 11474125Abstract: Systems, methods, and non-transitory computer readable media may be configured to calibrate sensor measurements based on detection of brake light. Acceleration information of a first vehicle may be obtained. The acceleration information may define an acceleration probability distribution of the first vehicle. Image information may be obtained. The image information may define an image of the first vehicle. Whether a brake light of the first vehicle is on or off may be determined based on the image of the first vehicle. Based on a determination that the brake light of the first vehicle is on, a calibrated acceleration probability distribution of the first vehicle may be generated based on the acceleration probability distribution of the first vehicle and a braking-calibration curve.Type: GrantFiled: November 16, 2018Date of Patent: October 18, 2022Assignee: Pony AI Inc.Inventors: Zixuan Zhou, Sinan Xiao, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11438492Abstract: Systems, methods, and non-transitory computer readable media may be configured to characterize optical characteristics of optical elements. An optical element mount may be configured to carry an optical element. A calibration display may be configured to display a calibration object. The calibration object may include a known visual pattern. Multiple images of the calibration object may be obtained. The multiple images may be acquired using the optical element carried by the optical element mount. The multiple images may include different perspectives of the calibration object. Optical characteristics of the optical element may be characterized based on the known visual pattern and the different perspectives of the calibration object.Type: GrantFiled: June 2, 2020Date of Patent: September 6, 2022Assignee: Pony AI Inc.Inventors: Yubo Zhang, Xiang Yu, Tiancheng Lou, Jun Peng, Kai Chen, Yiming Liu, Sinan Xiao, Tianyi Li, Yin Zhong, Hao Song
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Publication number: 20220247913Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.Type: ApplicationFiled: April 25, 2022Publication date: August 4, 2022Inventors: Kai Chen, Jun Peng, Tiancheng Lou, Xiang Yu, Zhuo Zhang, Hao Song, Sinan Xiao, Yiming Liu, Tianyi Li
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Patent number: 11392132Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.Type: GrantFiled: September 8, 2020Date of Patent: July 19, 2022Assignee: Pony AI Inc.Inventors: Hao Song, Jun Peng, Nengxiu Deng, Sinan Xiao, Tao Qin, Tiancheng Lou, Tianyi Li, Xiang Yu, Yubo Zhang
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Publication number: 20220179094Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a tracking camera system onboard an autonomous vehicle. Coordinate data of an object can be received. The tracking camera system actuates, based on the coordinate data, to a position such that the object is in view of the tracking camera system. Vehicle operation data of the autonomous vehicle can be received. The position of the tracking camera system can be adjusted, based on the vehicle operation data, such that the object remains in view of the tracking camera system while the autonomous vehicle is in motion. A focus of the tracking camera system can be adjusted to bring the object in focus. The tracking camera system captures image data corresponding to the object.Type: ApplicationFiled: February 22, 2022Publication date: June 9, 2022Inventors: Kai Chen, Tiancheng Lou, Jun Peng, Xiang Yu, Zhuo Zhang, Yiming Liu, Hao Song
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Publication number: 20220137624Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable traffic objects; determining one or more target movable traffic objects from the one or more detected movable traffic objects; determining a type of the one or more target movable traffic objects and an traffic object that has a right of way (ROW) in a situation involving the autonomous-driving vehicle. The system further performs: determining a manner of generating a vehicle behavior notification to the target movable traffic object based on the type of the one or more target movable traffic objects and the ROW; and causing a vehicle behavior notification of the determined manner to be generated to the one or more target movable traffic objects.Type: ApplicationFiled: January 11, 2022Publication date: May 5, 2022Inventors: Zixuan Zhou, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11317033Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.Type: GrantFiled: July 14, 2020Date of Patent: April 26, 2022Assignee: Pony AI Inc.Inventors: Kai Chen, Jun Peng, Tiancheng Lou, Xiang Yu, Zhuo Zhang, Hao Song, Sinan Xiao, Yiming Liu, Tianyi Li
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Publication number: 20220118946Abstract: A sensor enclosure comprising a domed cover and a base. The base can be encased by the domed cover. The base comprises an inner frame, an outer frame, one or more wipers, and a powertrain. The inner frame can provide surfaces for one or more sensors. The outer frame, disposed underneath the inner frame, the outer frame includes a slewing ring. The slewing ring comprises an inner ring to which the domed cover is attached and an outer ring attached to the outer frame. The one or more wipers extends vertically from the outer frame, each wiper having a first end attached to the outer frame and a second end attached to a support ring, and each wiper making a contact with the dome cover. The powertrain, disposed within the outer frame, configured to rotate the ring and the dome cover attached to the inner ring.Type: ApplicationFiled: December 28, 2021Publication date: April 21, 2022Inventors: Zhongnan Hu, Zuoteng Chen, Nengxiu Deng, Cheng Jin, Kai Chen, Yubo Zhang, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11255975Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a tracking camera system onboard an autonomous vehicle. Coordinate data of an object can be received. The tracking camera system actuates, based on the coordinate data, to a position such that the object is in view of the tracking camera system. Vehicle operation data of the autonomous vehicle can be received. The position of the tracking camera system can be adjusted, based on the vehicle operation data, such that the object remains in view of the tracking camera system while the autonomous vehicle is in motion. A focus of the tracking camera system can be adjusted to bring the object in focus. The tracking camera system captures image data corresponding to the object.Type: GrantFiled: June 5, 2018Date of Patent: February 22, 2022Assignee: Pony AI Inc.Inventors: Kai Chen, Tiancheng Lou, Jun Peng, Xiang Yu, Zhuo Zhang, Yiming Liu, Hao Song
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Patent number: 11221625Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable traffic objects; determining one or more target movable traffic objects from the one or more detected movable traffic objects; determining a type of the one or more target movable traffic objects and an traffic object that has a right of way (ROW) in a situation involving the autonomous-driving vehicle. The system further performs: determining a manner of generating a vehicle behavior notification to the target movable traffic object based on the type of the one or more target movable traffic objects and the ROW; and causing a vehicle behavior notification of the determined manner to be generated to the one or more target movable traffic objects.Type: GrantFiled: March 12, 2020Date of Patent: January 11, 2022Assignee: Pony AI Inc.Inventors: Zixuan Zhou, Xiang Yu, Tiancheng Lou, Jun Peng
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Patent number: 11208075Abstract: A sensor enclosure comprising a domed cover and a base. The base can be encased by the domed cover. The base comprises an inner frame, an outer frame, one or more wipers, and a powertrain. The inner frame can provide surfaces for one or more sensors. The outer frame, disposed underneath the inner frame, the outer frame includes a slewing ring. The slewing ring comprises an inner ring to which the domed cover is attached and an outer ring attached to the outer frame. The one or more wipers extends vertically from the outer frame, each wiper having a first end attached to the outer frame and a second end attached to a support ring, and each wiper making a contact with the dome cover. The powertrain, disposed within the outer frame, configured to rotate the ring and the dome cover attached to the inner ring.Type: GrantFiled: October 11, 2018Date of Patent: December 28, 2021Assignee: Pony AI Inc.Inventors: Zhongnan Hu, Zuoteng Chen, Nengxiu Deng, Cheng Jin, Kai Chen, Yubo Zhang, Xiang Yu, Tiancheng Lou, Jun Peng