Patents by Inventor Maurilio Di Cicco
Maurilio Di Cicco 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: 11970183Abstract: Among other things, techniques are described for calibrating a sensor of a vehicle. One technique involves identifying a trigger for calibrating at least one sensor of a vehicle. In response to identifying the trigger, the technique then involves initiating a calibration path planning mode for the vehicle. In the calibration path planning mode, the technique involves: generating a plurality of calibration-aware paths that each include at least one calibration trajectory along at least one road; and selecting, from the plurality of paths, a first calibration-aware path for the vehicle, where the at least one sensor is calibrated while the vehicle travels along the selected path.Type: GrantFiled: September 25, 2020Date of Patent: April 30, 2024Assignee: Motional AD LLCInventors: Bartolomeo Della Corte, Maurilio Di Cicco, Jun Shern Chan
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Patent number: 11938953Abstract: Among other things, we describe techniques for operation of a vehicle based on measured load characteristics and/or passenger comfort. One or more sensors of the vehicle can measure passenger data and/or load data of the vehicle. The passenger data and/or load data of the vehicle can be used by the vehicle to determine how to navigate within the surrounding environment.Type: GrantFiled: April 17, 2023Date of Patent: March 26, 2024Assignee: Motional AD LLCInventors: Scott D. Pendleton, Maurilio Di Cicco
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Patent number: 11940539Abstract: An automatic calibration and validation pipeline is disclosed to estimate and evaluate the accuracy of extrinsic parameters of a camera-to-LiDAR coordinate transformation. In an embodiment, an automated and unsupervised calibration procedure is employed where the computed rotational and translational parameters (“extrinsic parameters”) of the camera-to-LiDAR coordinate transformation are automatically estimated and validated, and upper bounds on the accuracy of the extrinsic parameters are set. The calibration procedure combines three-dimensional (3D) plane, vector and point correspondences to determine the extrinsic parameters, and the resulting coordinate transformation is validated by analyzing the projection of a filtered point cloud including a validation target in the image space. A single camera image and LiDAR scan (a “single shot”) are used to calibrate and validate the extrinsic parameters.Type: GrantFiled: December 16, 2020Date of Patent: March 26, 2024Assignee: Motional AD LLCInventors: Paul Aurel Diederichs, Maurilio Di Cicco, Jun Shern Chan, Andreas Jianhao Aumiller, Francisco Alejandro Suarez Ruiz
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Patent number: 11861784Abstract: Techniques for determination of an optimal spatiotemporal sensor configuration for navigation of a vehicle include generating a model of a virtual vehicle operating in an environment. The model of the virtual vehicle includes a virtual sensor having a virtual viewing range. The virtual viewing range of the virtual sensor is segregated into frustums. The virtual viewing range of the virtual sensor corresponds to a viewing range of a sensor of a vehicle operating in the environment. A geometric viewport is generated including pixels. The geometric viewport has a height corresponding to a number of rays emitted from the virtual sensor. The geometric viewport is segregated into sections. Each section corresponds to a frustum. A virtual point cloud of the virtual sensor is rendered. The virtual point cloud includes coordinate positions representing a portion of the environment located within the virtual viewing range of the virtual sensor.Type: GrantFiled: December 5, 2019Date of Patent: January 2, 2024Assignee: Motional AD LLCInventors: Zi Yi Chong, Maurilio Di Cicco
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Publication number: 20230294715Abstract: Among other things, we describe techniques for operation of a vehicle based on measured load characteristics and/or passenger comfort. One or more sensors of the vehicle can measure passenger data and/or load data of the vehicle. The passenger data and/or load data of the vehicle can be used by the vehicle to determine how to navigate within the surrounding environment.Type: ApplicationFiled: April 17, 2023Publication date: September 21, 2023Inventors: Scott D. Pendleton, Maurilio Di Cicco
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Patent number: 11648951Abstract: Among other things, we describe techniques for operation of a vehicle based on measured load characteristics and/or passenger comfort. One or more sensors of the vehicle can measure passenger data and/or load data of the vehicle. The passenger data and/or load data of the vehicle can be used by the vehicle to determine how to navigate within the surrounding environment.Type: GrantFiled: October 18, 2019Date of Patent: May 16, 2023Assignee: Motional AD LLCInventors: Scott D. Pendelton, Maurilio Di Cicco
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Publication number: 20230064232Abstract: Among other things, techniques are described for a universal calibration target. The universal calibration target includes a core and an outer body. The core is core associated with a first salient property. The outer body is associated with a second salient property. The first salient property and the second salient property are configured to be observed by a sensor modality, and the first salient property and the second salient property correspond to at least one sensor of a vehicle.Type: ApplicationFiled: August 27, 2021Publication date: March 2, 2023Inventors: Jun Shern Chan, Francisco Alejandro Suarez Ruiz, Jeremy Myers, Maurilio Di Cicco, Lucas Tetsuya Kuwae, Alejandro Israel Barragan Diaz
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Publication number: 20220392232Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.Type: ApplicationFiled: August 16, 2022Publication date: December 8, 2022Inventors: Mauro Aguiar, Noam Weinstein, Eric Wolff, Matthias Sapuan, Hsun-Hsien Chang, Philipp Robbel, Maurilio Di Cicco, Guchan Ozbilgin, Bishwamoy Sinha Roy, Yifan Yang, Akshay Bhagat, David Butterworth, Andrew J. Eick, Alok Sharma, Junqing Wei
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Patent number: 11443524Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.Type: GrantFiled: November 26, 2019Date of Patent: September 13, 2022Assignee: Motional AD LLCInventors: Mauro Aguiar, Noam Weinstein, Eric Wolff, Matthias Sapuan, Hsun-Hsien Chang, Philipp Robbel, Maurilio Di Cicco, Guchan Ozbilgin, Bishwamoy Sinha Roy, Yifan Yang, Akshay Bhagat, David Butterworth, Andrew J. Eick, Alok Sharma, Junqing Wei
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Publication number: 20220163668Abstract: Among other things, a method includes receiving first LiDAR point cloud information from a first LiDAR device and second LiDAR point cloud information from a second LiDAR device, generating third point cloud information according to merging the first and second LiDAR point cloud information, and operating the vehicle based upon the third LiDAR point cloud information.Type: ApplicationFiled: February 14, 2022Publication date: May 26, 2022Inventors: Maurilio Di Cicco, Karan Rajendra Shetti
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Patent number: 11333762Abstract: Among other things, a method includes receiving first LiDAR point cloud information from a first LiDAR device and second LiDAR point cloud information from a second LiDAR device, generating third point cloud information according to merging the first and second LiDAR point cloud information, and operating the vehicle based upon the third LiDAR point cloud information.Type: GrantFiled: January 31, 2020Date of Patent: May 17, 2022Assignee: Motional AD LLCInventors: Maurilio Di Cicco, Karan Rajendra Shetti
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Publication number: 20220097725Abstract: Among other things, techniques are described for calibrating a sensor of a vehicle. One technique involves identifying a trigger for calibrating at least one sensor of a vehicle. In response to identifying the trigger, the technique then involves initiating a calibration path planning mode for the vehicle. In the calibration path planning mode, the technique involves: generating a plurality of calibration-aware paths that each include at least one calibration trajectory along at least one road; and selecting, from the plurality of paths, a first calibration-aware path for the vehicle, where the at least one sensor is calibrated while the vehicle travels along the selected path.Type: ApplicationFiled: September 25, 2020Publication date: March 31, 2022Inventors: Bartolomeo Della Corte, Maurilio Di Cicco, Jun Shern Chan
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Publication number: 20210192788Abstract: An automatic calibration and validation pipeline is disclosed to estimate and evaluate the accuracy of extrinsic parameters of a camera-to-LiDAR coordinate transformation. In an embodiment, an automated and unsupervised calibration procedure is employed where the computed rotational and translational parameters (“extrinsic parameters”) of the camera-to-LiDAR coordinate transformation are automatically estimated and validated, and upper bounds on the accuracy of the extrinsic parameters are set. The calibration procedure combines three-dimensional (3D) plane, vector and point correspondences to determine the extrinsic parameters, and the resulting coordinate transformation is validated by analyzing the projection of a filtered point cloud including a validation target in the image space. A single camera image and LiDAR scan (a “single shot”) are used to calibrate and validate the extrinsic parameters.Type: ApplicationFiled: December 16, 2020Publication date: June 24, 2021Inventors: Paul Aurel Diederichs, Maurilio Di Cicco, Jun Shern Chan, Andreas Jianhao Aumiller, Francisco Alejandro Suarez Ruiz
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Publication number: 20200249353Abstract: Among other things, a method includes receiving first LiDAR point cloud information from a first LiDAR device and second LiDAR point cloud information from a second LiDAR device, generating third point cloud information according to merging the first and second LiDAR point cloud information, and operating the vehicle based upon the third LiDAR point cloud information.Type: ApplicationFiled: January 31, 2020Publication date: August 6, 2020Inventors: Maurilio Di Cicco, Karan Rajendra Shetti
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Publication number: 20200193686Abstract: Techniques for determination of an optimal spatiotemporal sensor configuration for navigation of a vehicle include generating a model of a virtual vehicle operating in an environment. The model of the virtual vehicle includes a virtual sensor having a virtual viewing range. The virtual viewing range of the virtual sensor is segregated into frustums. The virtual viewing range of the virtual sensor corresponds to a viewing range of a sensor of a vehicle operating in the environment. A geometric viewport is generated including pixels. The geometric viewport has a height corresponding to a number of rays emitted from the virtual sensor. The geometric viewport is segregated into sections. Each section corresponds to a frustum. A virtual point cloud of the virtual sensor is rendered. The virtual point cloud includes coordinate positions representing a portion of the environment located within the virtual viewing range of the virtual sensor.Type: ApplicationFiled: December 5, 2019Publication date: June 18, 2020Inventors: Zi Yi Chong, Maurilio Di Cicco
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Publication number: 20200184236Abstract: Among other things, we describe systems and method for validating sensor calibration. For validating calibration of a system of sensors having several types of sensors, an object may be configured to have a substantially reflective portion such that the sensors can isolate the substantially reflective portion, and their sensor data can be compared to determine, if the detected locations of the substantially reflective portion by each sensor are aligned. For calibrating a system of sensors, an object having known calibration features can be used and detected by each sensor, and the detected data can be compared to known calibration data associated with the object to determine if each sensor is correctly calibrated.Type: ApplicationFiled: November 26, 2019Publication date: June 11, 2020Inventors: Mauro Aguiar, Noam Weinstein, Eric Wolff, Matthias Sapuan, Hsun-Hsien Chang, Philipp Robbel, Maurilio Di Cicco, Guchan Ozbilgin, Bishwamoy Roy, Yifan Yang, Akshay Bhagat, David Butterworth, Andrew J. Eick, Alok Sharma, Junqing Wei
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Publication number: 20200130703Abstract: Among other things, we describe techniques for operation of a vehicle based on measured load characteristics and/or passenger comfort. One or more sensors of the vehicle can measure passenger data and/or load data of the vehicle. The passenger data and/or load data of the vehicle can be used by the vehicle to determine how to navigate within the surrounding environment.Type: ApplicationFiled: October 18, 2019Publication date: April 30, 2020Inventors: Scott D. Pendelton, Maurilio Di Cicco