Patents by Inventor Noam Weinstein

Noam Weinstein 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).

  • Patent number: 11897460
    Abstract: Among other things, sensor signals are received using a vehicle comprising an autonomous driving capability. A risk associated with operating the vehicle is identified based on the sensor signals. The autonomous driving capability is modified in response to the risk. The operation of the vehicle is updated based on the modifying of the autonomous capability.
    Type: Grant
    Filed: May 14, 2021
    Date of Patent: February 13, 2024
    Assignee: Motional AD LLC
    Inventors: Hsun-Hsien Chang, Noam Weinstein, Eric Wolff, Philipp Robbel, Jacob C. Cheuvront, Karl Iagnemma, Katarzyna Anna Marczuk
  • Publication number: 20220392232
    Abstract: 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: Application
    Filed: August 16, 2022
    Publication date: December 8, 2022
    Inventors: 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
  • Patent number: 11443524
    Abstract: 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: Grant
    Filed: November 26, 2019
    Date of Patent: September 13, 2022
    Assignee: Motional AD LLC
    Inventors: 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
  • Publication number: 20210339742
    Abstract: Among other things, sensor signals are received using a vehicle comprising an autonomous driving capability. A risk associated with operating the vehicle is identified based on the sensor signals. The autonomous driving capability is modified in response to the risk. The operation of the vehicle is updated based on the modifying of the autonomous capability.
    Type: Application
    Filed: May 14, 2021
    Publication date: November 4, 2021
    Applicant: Motional AD LLC
    Inventors: Hsun-Hsien Chang, Noam Weinstein, Eric Wolff, Philipp Robbel, Jacob C. Cheuvront, Karl Iagnemma, Katarzyna Anna Marczuk
  • Patent number: 11008000
    Abstract: Among other things, sensor signals are received using a vehicle comprising an autonomous driving capability. A risk associated with operating the vehicle is identified based on the sensor signals. The autonomous driving capability is modified in response to the risk. The operation of the vehicle is updated based on the modifying of the autonomous capability.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: May 18, 2021
    Assignee: Motional AD LLC
    Inventors: Hsun-Hsien Chang, Noam Weinstein, Eric Wolff, Philipp Robbel, Jacob C. Cheuvront, Karl Iagnemma, Katarzyna Anna Marczuk
  • Publication number: 20200184236
    Abstract: 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: Application
    Filed: November 26, 2019
    Publication date: June 11, 2020
    Inventors: 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
  • Publication number: 20180362031
    Abstract: Among other things, sensor signals are received using a vehicle comprising an autonomous driving capability. A risk associated with operating the vehicle is identified based on the sensor signals. The autonomous driving capability is modified in response to the risk. The operation of the vehicle is updated based on the modifying of the autonomous capability.
    Type: Application
    Filed: June 20, 2018
    Publication date: December 20, 2018
    Applicant: nuTonomy Inc.
    Inventors: Hsun-Hsien Chang, Noam Weinstein, Eric Wolff, Philipp Robbel, Jacob C. Cheuvront, Karl Iagnemma, Katarzyna Anna Marczuk