Patents by Inventor Tejaswi Koduri
Tejaswi Koduri 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: 11487988Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.Type: GrantFiled: August 31, 2017Date of Patent: November 1, 2022Assignee: Ford Global Technologies, LLCInventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri
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Publication number: 20220324511Abstract: A computer includes a processor and a memory storing instructions executable by the processor to actuate a steering system of a vehicle to perform a lane-keeping operation, cease the lane-keeping operation upon receiving a takeover request, determine that the takeover request has occurred upon detecting that a torque applied to a steering wheel exceeds a torque threshold, determine that the vehicle is traveling over a road disturbance or will travel over a road disturbance within a time threshold based on receiving map data indicating a location of the road disturbance, and increase the torque threshold upon determining that the vehicle is traveling over the road disturbance or will travel over the road disturbance within the time threshold. The lane-keeping operation includes steering the vehicle without operator input.Type: ApplicationFiled: April 13, 2021Publication date: October 13, 2022Applicant: Ford Global Technologies, LLCInventors: Gangarjun Veeramurthy, Peter W.A. Zegelaar, Tejaswi Koduri
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Patent number: 11455565Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.Type: GrantFiled: August 31, 2017Date of Patent: September 27, 2022Assignee: Ford Global Technologies, LLCInventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri
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Patent number: 11010919Abstract: From detecting a marker detected in an image, a physical object on which the marker is provided can be identified. Based on a determining a location of the marker in the physical world, a location and an orientation of the physical object can be determined.Type: GrantFiled: September 20, 2018Date of Patent: May 18, 2021Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Alberto Gabriel Rivera, Tejaswi Koduri, Romil Shah, Shounak Athavale
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Publication number: 20200098131Abstract: From detecting a marker detected in an image, a physical object on which the marker is provided can be identified. Based on a determining a location of the marker in the physical world, a location and an orientation of the physical object can be determined.Type: ApplicationFiled: September 20, 2018Publication date: March 26, 2020Applicant: Ford Global Technologies, LLCInventors: Alberto Gabriel Rivera, Tejaswi Koduri, Romil Shah, Shounak Athavale
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Patent number: 10336326Abstract: Example lane detection systems and methods are described. In one implementation, a method received an image from-facing vehicle camera and applies a geometric transformation to the image to create a birds-eye view of the image. The method analyzes the birds-eye view of the image using a neural network, which was previously trained using side-facing vehicl camera images, to determine a lane position associated with the birds-eye view of the image.Type: GrantFiled: November 28, 2016Date of Patent: July 2, 2019Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Alexandru Mihai Gurghian, Tejaswi Koduri, Vidya Nariyambut Murali, Kyle J Carey
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Publication number: 20190065637Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.Type: ApplicationFiled: August 31, 2017Publication date: February 28, 2019Inventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri
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Publication number: 20190065933Abstract: Original sensor data is received from one or more sensors of a vehicle. Free space around the vehicle is identified according to the sensor data, such as by identifying regions where data points have a height below a threshold. A location for an object model is selected from the free space. A plane is fitted to sensor data around the location and the object model is oriented according to an orientation of the plane. Sensing of the object model by a sensor of the vehicle is simulated to obtain simulated data, which is then added to the original sensor data. Sensor data corresponding to objects that would have been obscured by the object model is removed from the original sensor data. Augmented sensor data may be used to validate a control algorithm or train a machine learning model.Type: ApplicationFiled: August 31, 2017Publication date: February 28, 2019Inventors: Daniel Bogdoll, Shreyasha Paudel, Tejaswi Koduri
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Patent number: 10124730Abstract: A method for determining a position of a vehicle in a lane includes receiving perception information from a first camera positioned on a first side of a vehicle and a second camera positioned on a second side of the vehicle. The method includes determining, using one or more neural networks, a position of the vehicle with respect to lane markings on the first side and the second side of the vehicle. The method further includes notifying a driver or control system of the position of the vehicle.Type: GrantFiled: March 17, 2016Date of Patent: November 13, 2018Assignee: FORD GLOBAL TECHNOLOGIES, LLCInventors: Vidya Nariyambut Murali, Tejaswi Koduri, Smita Vinayak Bailur, Kyle J Carey
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Publication number: 20170369057Abstract: Example lane detection systems and methods are described. In one implementation, a method receives an image from a front-facing vehicle camera and applies a geometric transformation to the image to create a birds-eye view of the image. The method analyzes the birds-eye view of the image using a neural network, which was previously trained using side-facing vehicle camera images, to determine a lane position associated with the birds-eye view of the image.Type: ApplicationFiled: November 28, 2016Publication date: December 28, 2017Inventors: Alexandru Mihai Gurghian, Tejaswi Koduri, Vidya Nariyambut Murali, Kyle J. Carey
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Publication number: 20170267177Abstract: A method for determining a position of a vehicle in a lane includes receiving perception information from a first camera positioned on a first side of a vehicle and a second camera positioned on a second side of the vehicle. The method includes determining, using one or more neural networks, a position of the vehicle with respect to lane markings on the first side and the second side of the vehicle. The method further includes notifying a driver or control system of the position of the vehicle.Type: ApplicationFiled: March 17, 2016Publication date: September 21, 2017Inventors: Vidya Nariyambut Murali, Tejaswi Koduri, Smita Vinayak Bailur, Kyle J. Carey