Patents by Inventor Vahid R. Ramezani

Vahid R. Ramezani 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).

  • Publication number: 20220309685
    Abstract: A method for multi-object tracking includes receiving a sequence of images generated at respective times by one or more sensors configured to sense an environment through which objects are moving relative to the one or more sensors, and constructing a message passing graph in which each of a multiplicity of layers corresponds to a respective one in the sequence of images.
    Type: Application
    Filed: June 13, 2022
    Publication date: September 29, 2022
    Inventors: Vahid R. Ramezani, Akshay Rangesh, Benjamin Englard, Siddhesh S. Mhatre, Meseret R. Gebre, Pranav Maheshwari
  • Publication number: 20220187463
    Abstract: A method for determining a scan pattern according to which a sensor equipped with a scanner scans a field of regard (FOR) is presented. The method comprises obtaining, by processing hardware, a plurality of objective functions, each of the objective functions specifying a cost for a respective property of the scan pattern, expressed in terms of one or more operational parameters of the scanner. The method further includes applying, by the processing hardware, an optimization scheme to the plurality of objective functions to generate the scan pattern. The method further includes scanning the FOR according to the generated scan pattern.
    Type: Application
    Filed: December 14, 2020
    Publication date: June 16, 2022
    Inventors: Pranav Maheshwari, Vahid R. Ramezani, Benjamin Englard, István Peter Burbank, Shubham C. Khilari, Meseret R. Gebre, Austin K. Russell
  • Patent number: 11361449
    Abstract: A method for multi-object tracking includes receiving a sequence of images generated at respective times by one or more sensors configured to sense an environment through which objects are moving relative to the one or more sensors, and constructing a message passing graph in which each of a multiplicity of layers corresponds to a respective one in the sequence of images. The method also includes tracking multiple features through the sequence of images, including passing messages in a forward direction and a backward direction through the message passing graph to share information across time.
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: June 14, 2022
    Assignee: Luminar, LLC
    Inventors: Vahid R. Ramezani, Akshay Rangesh, Benjamin Englard, Siddhesh S. Mhatre, Meseret R. Gebre, Pranav Maheshwari
  • Publication number: 20220107414
    Abstract: A scanning imaging sensor is configured to sense an environment through which a vehicle is moving. A method for determining one or velocities associated with objects in the environment includes generating features from the first set of scan lines and the second set of scan lines, the two sets corresponding to two instances in time. The method further includes generating a collection of candidate velocities based on feature locations and time differences, the features selected pairwise with one from the first set and another from the second set. Furthermore, the method includes analyzing the distribution of candidate velocities, for example, by identifying one or more modes from the collection of the candidate velocities.
    Type: Application
    Filed: October 7, 2020
    Publication date: April 7, 2022
    Inventors: Pranav Maheshwari, Meseret R. Gebre, Shubham C. Khilari, Vahid R. Ramezani
  • Publication number: 20220076432
    Abstract: A method for multi-object tracking includes receiving a sequence of images generated at respective times by one or more sensors configured to sense an environment through which objects are moving relative to the one or more sensors, and constructing a message passing graph in which each of a multiplicity of layers corresponds to a respective one in the sequence of images.
    Type: Application
    Filed: September 4, 2020
    Publication date: March 10, 2022
    Inventors: Vahid R. Ramezani, Akshay Rangesh, Benjamin Englard, Siddhesh S. Mhatre, Meseret R. Gebre, Pranav Maheshwari
  • Publication number: 20210206380
    Abstract: A method for tracking a lane on a road is presented. The method comprises receiving, by one or more processors from an imaging system, a set of pixels associated with lane markings. The method further includes generating, by the one or more processors, a predicted spline comprising (i) a first spline and (ii) a predicted extension of the first spline in a direction in which the imaging system is moving. The first spline describes a boundary of a lane and is generated based on the set of pixels. The predicted extension of the first spline is generated based at least in part on a curvature of at least a portion of the first spline.
    Type: Application
    Filed: July 9, 2020
    Publication date: July 8, 2021
    Inventors: Pranav Maheshwari, Vahid R. Ramezani, Ismail El Houcheimi, Shubham C. Khilari, Rounak Mehta
  • Publication number: 20210209941
    Abstract: A method for detecting boundaries of lanes on a road is presented. The method comprises receiving, by one or more processors from an imaging system, a set of pixels associated with lane markings. The method further includes partitioning, by the one or more processors, the set of pixels into a plurality of groups. Each of the plurality of groups is associated with one or more control points. The method further includes generating, by the one or more processors, a spline that traverses the control points of the plurality of groups. The spline traversing the control points describes a boundary of a lane.
    Type: Application
    Filed: July 8, 2020
    Publication date: July 8, 2021
    Inventors: Pranav Maheshwari, Vahid R. Ramezani, Ismail El Houcheimi, Benjamin Englard
  • Publication number: 20200209858
    Abstract: To generate a machine learning model for controlling autonomous vehicles, training sensor data is obtained from sensors associated with one or more vehicles, the sensor data indicative of physical conditions of an environment in which the one or more vehicles operate, and a machine learning (ML) model is trained using the training sensor data. The ML model generates parameters of the environment in response to input sensor data. A controller in an autonomous vehicle receives sensor data from one or more sensors operating in the autonomous vehicle, applies the received sensor data to the ML model to obtain parameters of an environment in which the autonomous vehicle operates, provides the generated parameters to a motion planner component to generate decisions for controlling the autonomous vehicle, and causes the autonomous vehicle to maneuver in accordance with the generated decisions.
    Type: Application
    Filed: March 6, 2019
    Publication date: July 2, 2020
    Inventors: Dmytro Trofymov, Pranav Maheshwari, Vahid R. Ramezani
  • Publication number: 20200097010
    Abstract: Various software techniques for managing operation of autonomous vehicles based on sensor data are disclosed herein. A computing system may generate, based on a set of signals descriptive of a current state of an environment in which the autonomous vehicle is operating, a normal path plan separate from a safe path plan, or a hybrid path plan including a normal path plan and a safe path plan. In generating the safe path plan, the computing system may generate and concatenate a set of motion primitives. When a fault condition occurs, the computing device may transition from executing the normal path plan to executing the safe path plan to safely stop the autonomous vehicle.
    Type: Application
    Filed: September 21, 2018
    Publication date: March 26, 2020
    Inventors: Tomi P. Maila, Vahid R. Ramezani, Benjamin Englard
  • Patent number: 10481605
    Abstract: Various software techniques for managing operation of autonomous vehicles based on sensor data are disclosed herein. A computing system may generate, based on a set of signals descriptive of a current state of an environment in which the autonomous vehicle is operating, a normal path plan separate from a safe path plan, or a hybrid path plan including a normal path plan and a safe path plan. In generating the safe path plan, the computing system may generate and concatenate a set of motion primitives. When a fault condition occurs, the computing device may transition from executing the normal path plan to executing the safe path plan to safely stop the autonomous vehicle.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: November 19, 2019
    Assignee: Luminar Technologies, Inc.
    Inventors: Tomi P. Maila, Vahid R. Ramezani, Benjamin Englard
  • Patent number: 10394243
    Abstract: Various software techniques for managing operation of autonomous vehicles based on sensor data are disclosed herein. A computing system may generate, based on a set of signals descriptive of a current state of an environment in which the autonomous vehicle is operating, a normal path plan separate from a safe path plan, or a hybrid path plan including a normal path plan and a safe path plan. In generating the safe path plan, the computing system may generate and concatenate a set of motion primitives. When a fault condition occurs, the computing device may transition from executing the normal path plan to executing the safe path plan to safely stop the autonomous vehicle.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: August 27, 2019
    Assignee: Luminar Technologies, Inc.
    Inventors: Vahid R. Ramezani, Benjamin Englard, Tomi P. Maila
  • Publication number: 20190113920
    Abstract: A computer-readable medium stores instructions executable by one or more processors to implement a self-driving control architecture for controlling an autonomous vehicle. A perception component receives sensor data and generates signals descriptive of a current state of the environment. Based on those signals, a prediction component generates signals descriptive of one or more predicted future environment states. A motion planner generates decisions for maneuvering the vehicle toward a destination, at least by using the signals descriptive of the current and future environment states to set values of one or more independent variables in an objective equation. The objective equation includes terms corresponding to different driving objectives over a finite time horizon. Values of one or more dependent variables in the objective equation are determined by solving the equation subject to a set of constraints, and values of the dependent variables are used to generate decisions for maneuvering the vehicle.
    Type: Application
    Filed: October 2, 2018
    Publication date: April 18, 2019
    Inventors: Benjamin Englard, Pranav Maheshwari, Shubham C. Khilari, Vahid R. Ramezani