Patents by Inventor Namdar Homayounfar

Namdar Homayounfar 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: 11080537
    Abstract: Systems and methods for facilitating communication with autonomous vehicles are provided. In one example embodiment, a computing system can obtain a first type of sensor data (e.g., camera image data) associated with a surrounding environment of an autonomous vehicle and/or a second type of sensor data (e.g., LIDAR data) associated with the surrounding environment of the autonomous vehicle. The computing system can generate overhead image data indicative of at least a portion of the surrounding environment of the autonomous vehicle based at least in part on the first and/or second types of sensor data. The computing system can determine one or more lane boundaries within the surrounding environment of the autonomous vehicle based at least in part on the overhead image data indicative of at least the portion of the surrounding environment of the autonomous vehicle and a machine-learned lane boundary detection model.
    Type: Grant
    Filed: September 5, 2018
    Date of Patent: August 3, 2021
    Assignee: UATC, LLC
    Inventors: Min Bai, Gellert Sandor Mattyus, Namdar Homayounfar, Shenlong Wang, Shrindihi Kowshika Lakshmikanth, Raquel Urtasun
  • Publication number: 20210150410
    Abstract: Systems and methods for predicting instance geometry are provided. A method includes obtaining an input image depicting at least one object. The method includes determining an instance mask for the object by inputting the input image into a machine-learned instance segmentation model. The method includes determining an initial polygon with a number of initial vertices outlining the border of the object within the input image. The method includes obtaining a feature embedding for one or more pixels of the input image and determining a vertex embedding including a feature embedding for each pixel corresponding an initial vertex of the initial polygon. The method includes determining a vertex offset for each initial vertex of the initial polygon based on the vertex embedding and applying the vertex offset to the initial polygon to obtain one or more enhanced polygons.
    Type: Application
    Filed: August 31, 2020
    Publication date: May 20, 2021
    Inventors: Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Raquel Urtasun
  • Publication number: 20210150722
    Abstract: Disclosed herein are methods and systems for performing instance segmentation that can provide improved estimation of object boundaries. Implementations can include a machine-learned segmentation model trained to estimate an initial object boundary based on a truncated signed distance function (TSDF) generated by the model. The model can also generate outputs for optimizing the TSDF over a series of iterations to produce a final TSDF that can be used to determine the segmentation mask.
    Type: Application
    Filed: September 10, 2020
    Publication date: May 20, 2021
    Inventors: Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
  • Patent number: 10859384
    Abstract: Systems and methods for autonomous vehicle localization are provided. In one example embodiment, a computer-implemented method includes obtaining, by a computing system that includes one or more computing devices onboard an autonomous vehicle, sensor data indicative of one or more geographic cues within the surrounding environment of the autonomous vehicle. The method includes obtaining, by the computing system, sparse geographic data associated with the surrounding environment of the autonomous vehicle. The sparse geographic data is indicative of the one or more geographic cues. The method includes determining, by the computing system, a location of the autonomous vehicle within the surrounding environment based at least in part on the sensor data indicative of the one or more geographic cues and the sparse geographic data. The method includes outputting, by the computing system, data indicative of the location of the autonomous vehicle within the surrounding environment.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: December 8, 2020
    Assignee: UATC, LLC
    Inventors: Wei-Chiu Ma, Shenlong Wang, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
  • Patent number: 10803325
    Abstract: Systems and methods for facilitating communication with autonomous vehicles are provided. In one example embodiment, a computing system can obtain rasterized LIDAR data associated with a surrounding environment of an autonomous vehicle. The rasterized LIDAR data can include LIDAR image data that is rasterized from a LIDAR point cloud. The computing system can access data indicative of a machine-learned lane boundary detection model. The computing system can input the rasterized LIDAR data associated with the surrounding environment of the autonomous vehicle into the machine-learned lane boundary detection model. The computing system can obtain an output from the machine-learned lane boundary detection model. The output can be indicative of one or more lane boundaries within the surrounding environment of the autonomous vehicle.
    Type: Grant
    Filed: September 5, 2018
    Date of Patent: October 13, 2020
    Assignee: UATC, LLC
    Inventors: Min Bai, Gellert Sandor Mattyus, Namdar Homayounfar, Shenlong Wang, Shrindihi Kowshika Lakshmikanth, Raquel Urtasun, Wei-Chiu Ma
  • Publication number: 20200302662
    Abstract: The present disclosure is directed to generating high quality map data using obtained sensor data. In particular a computing system comprising one or more computing devices can obtain sensor data associated with a portion of a travel way. The computing system can identify, using a machine-learned model, feature data associated with one or more lane boundaries in the portion of the travel way based on the obtained sensor data. The computing system can generate a graph representing lane boundaries associated with the portion of the travel way by identifying a respective node location for the respective lane boundary based in part on identified feature data associated with lane boundary information, determining, for the respective node location, an estimated direction value and an estimated lane state, and generating, based on the respective node location, the estimated direction value, and the estimated lane state, a predicted next node location.
    Type: Application
    Filed: March 20, 2020
    Publication date: September 24, 2020
    Inventors: Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Raquel Urtasun
  • Publication number: 20190147254
    Abstract: Systems and methods for facilitating communication with autonomous vehicles are provided. In one example embodiment, a computing system can obtain a first type of sensor data (e.g., camera image data) associated with a surrounding environment of an autonomous vehicle and/or a second type of sensor data (e.g., LIDAR data) associated with the surrounding environment of the autonomous vehicle. The computing system can generate overhead image data indicative of at least a portion of the surrounding environment of the autonomous vehicle based at least in part on the first and/or second types of sensor data. The computing system can determine one or more lane boundaries within the surrounding environment of the autonomous vehicle based at least in part on the overhead image data indicative of at least the portion of the surrounding environment of the autonomous vehicle and a machine-learned lane boundary detection model.
    Type: Application
    Filed: September 5, 2018
    Publication date: May 16, 2019
    Inventors: Min Bai, Gellert Sandor Mattyus, Namdar Homayounfar, Shenlong Wang, Shrindihi Kowshika Lakshmikanth, Raquel Urtasun
  • Publication number: 20190147255
    Abstract: Systems and methods for generating sparse geographic data for autonomous vehicles are provided. In one example embodiment, a computing system can obtain sensor data associated with at least a portion of a surrounding environment of an autonomous vehicle. The computing system can identify a plurality of lane boundaries within the portion of the surrounding environment of the autonomous vehicle based at least in part on the sensor data and a first machine-learned model. The computing system can generate a plurality of polylines indicative of the plurality of lane boundaries based at least in part on a second machine-learned model. Each polyline of the plurality of polylines can be indicative of a lane boundary of the plurality of lane boundaries. The computing system can output a lane graph including the plurality of polylines.
    Type: Application
    Filed: September 6, 2018
    Publication date: May 16, 2019
    Inventors: Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
  • Publication number: 20190145784
    Abstract: Systems and methods for autonomous vehicle localization are provided. In one example embodiment, a computer-implemented method includes obtaining, by a computing system that includes one or more computing devices onboard an autonomous vehicle, sensor data indicative of one or more geographic cues within the surrounding environment of the autonomous vehicle. The method includes obtaining, by the computing system, sparse geographic data associated with the surrounding environment of the autonomous vehicle. The sparse geographic data is indicative of the one or more geographic cues. The method includes determining, by the computing system, a location of the autonomous vehicle within the surrounding environment based at least in part on the sensor data indicative of the one or more geographic cues and the sparse geographic data. The method includes outputting, by the computing system, data indicative of the location of the autonomous vehicle within the surrounding environment.
    Type: Application
    Filed: September 6, 2018
    Publication date: May 16, 2019
    Inventors: Wei-Chiu Ma, Shenlong Wang, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun
  • Publication number: 20190147253
    Abstract: Systems and methods for facilitating communication with autonomous vehicles are provided. In one example embodiment, a computing system can obtain rasterized LIDAR data associated with a surrounding environment of an autonomous vehicle. The rasterized LIDAR data can include LIDAR image data that is rasterized from a LIDAR point cloud. The computing system can access data indicative of a machine-learned lane boundary detection model. The computing system can input the rasterized LIDAR data associated with the surrounding environment of the autonomous vehicle into the machine-learned lane boundary detection model. The computing system can obtain an output from the machine-learned lane boundary detection model. The output can be indicative of one or more lane boundaries within the surrounding environment of the autonomous vehicle.
    Type: Application
    Filed: September 5, 2018
    Publication date: May 16, 2019
    Inventors: Min Bai, Gellert Sandor Mattyus, Namdar Homayounfar, Shenlong Wang, Shrindihi Kowshika Lakshmikanth, Raquel Urtasun, Wei-Chiu Ma