Patents by Inventor Xiaodi Hou

Xiaodi Hou 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: 20200258382
    Abstract: Disclosed are devices, systems and methods for using a rotating camera for vehicular operation. One example of a method for improving driving includes determining, by a processor in the vehicle, that a trigger has activated, orienting, based on the determining, a single rotating camera towards a direction of interest, and activating a recording functionality of the single rotating camera, where the vehicle comprises the single rotating camera and one or more fixed cameras, and where the single rotating camera provides a redundant functionality for, and consumes less power than, the one or more fixed cameras.
    Type: Application
    Filed: February 11, 2020
    Publication date: August 13, 2020
    Inventors: Zhujia Shi, Charles A. Price, Zehua Huang, Xiaodi Hou, Xiaoling Han, Todd Skinner
  • Publication number: 20200242373
    Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
    Type: Application
    Filed: April 10, 2020
    Publication date: July 30, 2020
    Inventors: Xue Mei, Xiaodi HOU, Dazhou GUO, Yujie WE
  • Patent number: 10710592
    Abstract: A system and method for path planning of autonomous vehicles based on gradient are disclosed. A particular embodiment includes: generating and scoring a first suggested trajectory for an autonomous vehicle; generating a trajectory gradient based on the first suggested trajectory; generating and scoring a second suggested trajectory for the autonomous vehicle, the second suggested trajectory being based on the first suggested trajectory and a human driving model; and outputting the second suggested trajectory if the score corresponding to the second suggested trajectory is within a score differential threshold relative to the score corresponding to the first suggested trajectory.
    Type: Grant
    Filed: April 7, 2017
    Date of Patent: July 14, 2020
    Assignee: TUSIMPLE, INC.
    Inventors: Wutu Lin, Xiaodi Hou
  • Publication number: 20200160071
    Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed.
    Type: Application
    Filed: January 25, 2020
    Publication date: May 21, 2020
    Inventors: Chenyang LI, Xiaodi HOU, Siyuan LIU
  • Patent number: 10657390
    Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
    Type: Grant
    Filed: November 27, 2017
    Date of Patent: May 19, 2020
    Assignee: TUSIMPLE, INC.
    Inventors: Xue Mei, Xiaodi Hou, Dazhou Guo, Yujie Wei
  • Publication number: 20200126255
    Abstract: Disclosed are devices, systems and methods for incorporating a smoothness constraint for camera pose estimation. One method for robust camera pose estimation includes determining a first bounding box based on a previous frame, determining a second bounding box based on a current frame that is temporally subsequent to the previous frame, estimating the camera pose by minimizing a weighted sum of a camera pose function and a constraint function, where the camera pose function tracks a position and an orientation of the camera in time, and where the constraint function is based on coordinates of the first bounding box and coordinates of the second bounding box, and using the camera pose for navigating the vehicle. The method may further include generating an initial estimate of the camera pose is based on a Global Positioning System (GPS) sensor or an Inertial Measurement Unit (IMU).
    Type: Application
    Filed: December 17, 2019
    Publication date: April 23, 2020
    Inventors: Xiaodi Hou, Xue Mei
  • Patent number: 10565728
    Abstract: Disclosed are devices, systems and methods for incorporating a smoothness constraint for camera pose estimation. One method for robust camera pose estimation includes determining a first bounding box based on a previous frame, determining a second bounding box based on a current frame that is temporally subsequent to the previous frame, estimating the camera pose by minimizing a weighted sum of a camera pose function and a constraint function, where the camera pose function tracks a position and an orientation of the camera in time, and where the constraint function is based on coordinates of the first bounding box and coordinates of the second bounding box, and using the camera pose for navigating the vehicle. The method may further include generating an initial estimate of the camera pose is based on a Global Positioning System (GPS) sensor or an Inertial Measurement Unit (IMU).
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: February 18, 2020
    Assignee: TUSIMPLE, INC.
    Inventors: Xiaodi Hou, Xue Mei
  • Patent number: 10552691
    Abstract: A vehicle position and velocity estimation based on camera and LIDAR data are disclosed.
    Type: Grant
    Filed: April 25, 2017
    Date of Patent: February 4, 2020
    Assignee: TuSimple
    Inventors: Chenyang Li, Xiaodi Hou, Siyuan Liu
  • Patent number: 10528823
    Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
    Type: Grant
    Filed: November 27, 2017
    Date of Patent: January 7, 2020
    Assignee: TUSIMPLE
    Inventors: Dazhou Guo, Yujie Wei, Xue Mei, Xiaodi Hou
  • Publication number: 20190367020
    Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 5, 2019
    Inventors: Zhipeng YAN, Mingdong WANG, Siyuan LIU, Xiaodi HOU
  • Publication number: 20190370997
    Abstract: Disclosed are devices, systems and methods for incorporating a smoothness constraint for camera pose estimation. One method for robust camera pose estimation includes determining a first bounding box based on a previous frame, determining a second bounding box based on a current frame that is temporally subsequent to the previous frame, estimating the camera pose by minimizing a weighted sum of a camera pose function and a constraint function, where the camera pose function tracks a position and an orientation of the camera in time, and where the constraint function is based on coordinates of the first bounding box and coordinates of the second bounding box, and using the camera pose for navigating the vehicle. The method may further include generating an initial estimate of the camera pose is based on a Global Positioning System (GPS) sensor or an Inertial Measurement Unit (IMU).
    Type: Application
    Filed: June 1, 2018
    Publication date: December 5, 2019
    Inventors: Xiaodi Hou, Xue Mei
  • Publication number: 20190367019
    Abstract: A system and method for proximate vehicle intention prediction for autonomous vehicles are disclosed. A particular embodiment is configured to: receive perception data associated with a host vehicle; extract features from the perception data to detect a proximate vehicle in the vicinity of the host vehicle; generate a trajectory of the detected proximate vehicle based on the perception data; use a trained intention prediction model to generate a predicted intention of the detected proximate vehicle based on the perception data and the trajectory of the detected proximate vehicle; use the predicted intention of the detected proximate vehicle to generate a predicted trajectory of the detected proximate vehicle; and output the predicted intention and predicted trajectory for the detected proximate vehicle to another subsystem.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 5, 2019
    Inventors: Zhipeng YAN, Mingdong WANG, Siyuan LIU, Xiaodi HOU
  • Patent number: 10482769
    Abstract: A method of visual odometry for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: receiving a lane marking, expressed in god's view, associated with a current view; fitting, in a post-processing module, the lane marking in an arc by using a set of parameters; generating a lane template, using the set of parameters, the lane template including features of the lane marking associated with the current view and features of the arc; and feeding the lane template associated with the current view for detection of a next view.
    Type: Grant
    Filed: August 22, 2017
    Date of Patent: November 19, 2019
    Assignee: TUSIMPLE
    Inventors: Siyuan Liu, Mingdong Wang, Xiaodi Hou
  • Publication number: 20190318456
    Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.
    Type: Application
    Filed: April 11, 2019
    Publication date: October 17, 2019
    Inventors: Pengfei CHEN, Nan YU, Naiyan WANG, Xiaodi HOU
  • Patent number: 10373003
    Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth; off-line training a lane detection algorithm by using the ground truth, the lane detection algorithm using parameters that express a lane marking in an arc; on-line generating a predicted lane marking; comparing the predicted lane marking against the ground truth; and off-line refining the lane detection algorithm.
    Type: Grant
    Filed: August 22, 2017
    Date of Patent: August 6, 2019
    Assignee: TUSIMPLE
    Inventors: Siyuan Liu, Mingdong Wang, Xiaodi Hou
  • Patent number: 10360257
    Abstract: A system and method for implementing an image annotation platform are disclosed. A particular embodiment includes: registering a plurality of labelers to which annotation tasks are assigned; assigning annotation tasks to the plurality of labelers; determining if the annotation tasks can be closed or re-assigned to the plurality of labelers; aggregating annotations provided by the plurality of labelers as a result of the closed annotation tasks; evaluating a level of performance of the plurality of labelers in providing the annotations; and calculating payments for the plurality of labelers based on the quantity and quality of the annotations provided by the plurality of labelers.
    Type: Grant
    Filed: August 8, 2017
    Date of Patent: July 23, 2019
    Assignee: TuSimple
    Inventors: Xiaodi Hou, Siyuan Liu, Kai Zhou
  • Publication number: 20190163989
    Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
    Type: Application
    Filed: November 27, 2017
    Publication date: May 30, 2019
    Inventors: Dazhou GUO, Yujie WEI, Xue MEI, Xiaodi HOU
  • Publication number: 20190163990
    Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.
    Type: Application
    Filed: November 27, 2017
    Publication date: May 30, 2019
    Inventors: Xue MEI, Xiaodi HOU, Dazhou GUO, Yujie WEI
  • Publication number: 20190066512
    Abstract: A method of visual odometry for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: receiving a lane marking, expressed in god's view, associated with a current view; fitting, in a post-processing module, the lane marking in an arc by using a set of parameters; generating a lane template, using the set of parameters, the lane template including features of the lane marking associated with the current view and features of the arc; and feeding the lane template associated with the current view for detection of a next view.
    Type: Application
    Filed: August 22, 2017
    Publication date: February 28, 2019
    Inventors: SIYUAN LIU, MINGDONG WANG, XIAODI HOU
  • Publication number: 20190063945
    Abstract: A method of lane detection for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: generating a ground truth associated with lane markings expressed in god's view; receiving features from at least one of a hit-map image and a fitted lane marking, wherein the hit-map image includes a classification of pixels that hit a lane marking, and the fitted lane marking includes pixels optimized based on the hit-map image; and training a confidence module based on the features and the ground truth, the confidence module configured to determine on-line whether a fitted lane marking is reasonable, using parameters that express a lane marking in an arc.
    Type: Application
    Filed: August 22, 2017
    Publication date: February 28, 2019
    Inventors: SIYUAN LIU, MINGDONG WANG, XIAODI HOU