Patents by Inventor Tomas XU
Tomas XU 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: 11761783Abstract: A method for displaying lane information for a vehicle, includes obtaining a digital map; defining localization information of the vehicle; obtaining a route plan of the vehicle; determining a driving lane according to the localization information of the vehicle and the route plan of the vehicle; obtaining coordinates information of lane markings of the driving lane from the digital map; receiving image data from a camera mounted on the vehicle; transforming the lane markings of the driving lane from a coordinate system of the digital map to a coordinate system of the camera; generating a lane guide sign indicating the lane markings of the driving lane in the coordinate system of the camera based on the lane markings of the driving lane transformed to the coordinate system of the camera; and superimposing the lane guide sign of the lane markings of the driving lane on the image data received from the camera.Type: GrantFiled: December 21, 2017Date of Patent: September 19, 2023Assignee: Bayerische Motoren Werke AktiengesellschaftInventors: Maximilian Doemling, Tomas Xu
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Patent number: 11643092Abstract: A method and a system for lane change prediction. The method includes collecting raw driving data, extracting a plurality of feature sets from the collected raw driving data, and obtaining corresponding lane change information. The lane change information indicates a status of lane change of a vehicle under each of the extracted feature sets. The method further includes automatically labeling each of the extracted plurality sets of features with the obtained corresponding lane change information. The method further includes training a lane change prediction model with the labeled plurality sets of features. Examples of the present disclosure further describe methods, systems, and vehicles for applying the lane change prediction model.Type: GrantFiled: December 27, 2017Date of Patent: May 9, 2023Assignee: Bayerische Motoren Werke AktiengesellschaftInventors: Maximilian Doemling, Gavin Xu, Tomas Xu
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Patent number: 11436919Abstract: A method for determining driving strategy of a vehicle includes obtaining localization information of the vehicle, a driving route of the vehicle, and a current driving velocity of the vehicle. The method further includes detecting and interpreting a current status of a traffic light. The method further includes recognizing a duration of the current status of the traffic light. The method further includes detecting a relevant stop line. The method further includes obtaining a distance between the stop line and the vehicle. The method further includes determining whether to change the current driving velocity according to the current status of the traffic light, the duration of the current status of the traffic light, the distance between the traffic stop line and the vehicle, and the current driving velocity. A data processing device for determining driving strategy of a vehicle is also provided.Type: GrantFiled: April 22, 2020Date of Patent: September 6, 2022Assignee: Bayerische Motoren Werke AktiengesellschaftInventors: Maximilian Doemling, Wanli Jiang, Qianshan Li, Bill Lv, Gavin Xu, Tomas Xu
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Patent number: 10958846Abstract: A method for configuring a sensor, which is adapted to be installed on a moving object, includes obtaining localization information of the sensor from a localization device, obtaining characteristic information and localization information of at least one element from a digital map, and choosing one or more elements of the at least one element in the digital map. The method also includes configuring the sensor according to the characteristic information and/or the localization information of the one or more chosen elements.Type: GrantFiled: August 6, 2019Date of Patent: March 23, 2021Assignee: Bayerische Motoren Werke AktiengesellschaftInventors: Maximilian Doemling, Sebastian Granzow, Wanli Jiang, Qianshan Li, Rick Li, Bill Lv, Ivan Xu, Tomas Xu
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Publication number: 20210061294Abstract: A method and a system for lane change prediction. The method includes collecting raw driving data, extracting a plurality of feature sets from the collected raw driving data, and obtaining corresponding lane change information. The lane change information indicates a status of lane change of a vehicle under each of the extracted feature sets. The method further includes automatically labeling each of the extracted plurality sets of features with the obtained corresponding lane change information. The method further includes training a lane change prediction model with the labeled plurality sets of features. Examples of the present disclosure further describe methods, systems, and vehicles for applying the lane change prediction model.Type: ApplicationFiled: December 27, 2017Publication date: March 4, 2021Inventors: Maximilian DOEMLING, Gavin XU, Tomas XU
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Publication number: 20200393269Abstract: A method for displaying lane information for a vehicle, includes obtaining a digital map; defining localization information of the vehicle; obtaining a route plan of the vehicle; determining a driving lane according to the localization information of the vehicle and the route plan of the vehicle; obtaining coordinates information of lane markings of the driving lane from the digital map; receiving image data from a camera mounted on the vehicle; transforming the lane markings of the driving lane from a coordinate system of the digital map to a coordinate system of the camera; generating a lane guide sign indicating the lane markings of the driving lane in the coordinate system of the camera based on the lane markings of the driving lane transformed to the coordinate system of the camera; and superimposing the lane guide sign of the lane markings of the driving lane on the image data received from the camera.Type: ApplicationFiled: December 21, 2017Publication date: December 17, 2020Inventors: Maximilian DOEMLING, Tomas XU
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Publication number: 20200348140Abstract: A method and an apparatus for correcting deformation of a digital map for a vehicle, includes loading a related part from the digital map; determining whether the related part includes road coordinate information in a first zone and road coordinate information in a second zone, wherein the road coordinate information in the first zone is associated with a first Cartesian coordinate system and the road coordinate information in the second zone is associated with a second Cartesian coordinate system; transforming the road coordinate5 information in the second zone to the first Cartesian coordinate system, if the related part includes the road coordinate information in the first zone and the road coordinate information in the second zone; and generating a corrected map by combining the road coordinate information in the first zone and the transformed road coordinate information in the second zone; wherein the first Cartesian coordinate system is the coordinate system of the vehicle for processing the road coordiType: ApplicationFiled: December 27, 2017Publication date: November 5, 2020Inventors: Maximilian DOEMLING, Hai JIN, Bill LV, Tomas XU
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Publication number: 20200326202Abstract: A method for displaying Point of Interest (POI) information for a vehicle, includes: obtaining a digital map; obtaining localization information of the vehicle; obtaining coordinate information of the POI and type information of the POI from the digital map; receiving reality image data from a camera mounted on the vehicle; transforming the coordinate information of the POI from a coordinate system of the digital map to a coordinate system of the camera; generating a guide sign indicating the POI in the coordinate system of the camera based on the coordinates information of the POI transformed to the coordinate system of the camera and the type information of the POI; and superimposing the guide sign indicating the POI on the image data received from the camera.Type: ApplicationFiled: December 21, 2017Publication date: October 15, 2020Inventors: Maximilian DOEMLING, Tomas XU
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Publication number: 20200312127Abstract: A method for determining driving strategy of a vehicle includes obtaining localization information of the vehicle, a driving route of the vehicle, and a current driving velocity of the vehicle. The method further includes detecting and interpreting a current status of a traffic light. The method further includes recognizing a duration of the current status of the traffic light. The method further includes detecting a relevant stop line. The method further includes obtaining a distance between the stop line and the vehicle. The method further includes determining whether to change the current driving velocity according to the current status of the traffic light, the duration of the current status of the traffic light, the distance between the traffic stop line and the vehicle, and the current driving velocity. A data processing device for determining driving strategy of a vehicle is also provided.Type: ApplicationFiled: April 22, 2020Publication date: October 1, 2020Inventors: Maximilian DOEMLING, Wanli JIANG, Qianshan LI, Bill LV, Gavin XU, Tomas XU
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Patent number: 10740962Abstract: A method and an apparatus for uncertainty modeling of a point cloud and a non-transient storage medium are provided. The method finds the neighboring points for each point; fits a local quadratic surface for each point; and generates a Gaussian Model (GM) for representing the uncertainty modeling of the local surface at each point. The GM is constructed in a piece-wise manner on the underlying surface of the point cloud, which will accurately model the surface uncertainty.Type: GrantFiled: June 25, 2019Date of Patent: August 11, 2020Assignee: Bayerische Motoren Werke AktiengesellschaftInventors: Maximilian Doemling, Sebastian Granzow, Wanli Jiang, Qianshan Li, Rick Li, Bill Lv, Ivan Xu, Tomas Xu
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Publication number: 20190360817Abstract: A method for localization of a moving object includes obtaining a digital map comprising road feature information, receiving position change information of the moving object, and obtaining trace feature information of the moving object by processing the position change information of the moving object. The method further includes determining a localization of the moving object according to similarity between the trace feature information of the moving object and the road feature information.Type: ApplicationFiled: August 6, 2019Publication date: November 28, 2019Inventors: Maximilian DOEMLING, Sebastian GRANZOW, Wanli JIANG, Qianshan LI, Rick LI, Bill LV, Ivan XU, Tomas XU
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Publication number: 20190364219Abstract: A method for configuring a sensor, which is adapted to be installed on a moving object, includes obtaining localization information of the sensor from a localization device, obtaining characteristic information and localization information of at least one element from a digital map, and choosing one or more elements of the at least one element in the digital map. The method also includes configuring the sensor according to the characteristic information and/or the localization information of the one or more chosen elements.Type: ApplicationFiled: August 6, 2019Publication date: November 28, 2019Inventors: Maximilian DOEMLING, Sebastian GRANZOW, Wanli JIANG, Qianshan LI, Rick LI, Bill LV, Ivan XU, Tomas XU
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Publication number: 20190311532Abstract: A method and an apparatus for uncertainty modeling of a point cloud and a non-transient storage medium are provided. The method finds the neighboring points for each point; fits a local quadratic surface for each point; and generates a Gaussian Model (GM) for representing the uncertainty modeling of the local surface at each point. The GM is constructed in a piece-wise manner on the underlying surface of the point cloud, which will accurately model the surface uncertainty.Type: ApplicationFiled: June 25, 2019Publication date: October 10, 2019Inventors: Maximilian DOEMLING, Sebastian GRANZOW, Wanli JIANG, Qianshan LI, Rick LI, Bill LV, Ivan XU, Tomas XU