公开(公告)号：US20200310421A1

公开(公告)日：2020-10-01

申请号：US16365490

申请日：2019-03-26

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Hyukseong Kwon ,  Aashish N. Patel ,  Michael J. Daily

IPC: G05D1/00 ,  G05D1/02

Abstract: An autonomous vehicle, system and method of operating the autonomous vehicle. The system includes a performance evaluator, a decision module and a navigation system. The performance evaluator determines a performance grade for each of a plurality of decisions for operating the autonomous vehicle. The decision module selects a decision have a greatest performance grade. The navigation system operates the autonomous vehicle using the selected decision.

公开(公告)号：US20200307586A1

公开(公告)日：2020-10-01

申请号：US16365447

申请日：2019-03-26

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Aashish N. Patel ,  Hyukseong Kwon ,  Amir M. Rahimi

IPC: B60W30/182 ,  G05D1/02 ,  G05D1/00

Abstract: A method, autonomous vehicle and system for operating an autonomous vehicle. A sensor obtains data of an agent. A processor determines a measure of complexity of the environment in which the autonomous vehicle is operating from the sensor data, selects a control scheme for operating the autonomous vehicle based on the determined complexity, and operates the autonomous vehicle using the selected control scheme.

公开(公告)号：US20250044118A1

公开(公告)日：2025-02-06

申请号：US18362109

申请日：2023-07-31

Applicant: GM Global Technology Operations LLC

Inventor： Michael Cui ,  Hyukseong Kwon ,  Rodolfo Valiente Romero ,  Marcus James Huber ,  Alireza Esna Ashari Esfahani ,  Andrew Howe

IPC: G01C21/00 ,  G06V10/774 ,  G06V10/82 ,  G06V20/56 ,  G06V20/58 ,  G06V20/70

Abstract: A system for updating a road map for a vehicle includes a plurality of vehicle sensors and a vehicle controller in electrical communication with the plurality of vehicle sensors. The vehicle controller is programmed to gather input data about an environment surrounding the vehicle using the plurality of vehicle sensors. The input data includes at least one abnormal traffic pattern indication. The vehicle controller is further programmed to generate an input label map based at least in part on the input data. The vehicle controller is further programmed to generate a vehicle output label map based at least in part on the input label map. The vehicle output label map is generated using a machine learning algorithm. The vehicle controller is further programmed to perform a first action based at least in part on the vehicle output label map.

公开(公告)号：US20240062555A1

公开(公告)日：2024-02-22

申请号：US17820317

申请日：2022-08-17

Applicant: GM Global Technology Operations LLC

Inventor： Jiejun Xu ,  Kenji Yamada ,  Michael J. Daily ,  Alireza Esna Ashari Esfahani ,  Hyukseong Kwon ,  Darren Michael Chan ,  Alan Perry ,  Joshua Lampkins

IPC: G06V20/58 ,  G06V20/62 ,  G06V10/82 ,  G06V30/262 ,  G06N3/04

CPC classification number: G06V20/582 ,  G06V20/63 ,  G06V10/82 ,  G06V30/274 ,  G06N3/0454

Abstract: A road sign interpretation system includes a front-facing camera mounted on or in a vehicle collecting image data of multiple road signs. A first convolutional neural network (CNN) receives the image data from the front-facing camera and yields a set of sign predictions including one or more sign text instances. A second CNN defining a text extractor receives the image data from the front-facing camera and extracts text candidates including the multiple sign text instances. Sign and sign data localization is provided in the second CNN to compute a text order from the multiple sign text instances. A sign text synthesizer module receives individual sign text instances from the first CNN and individual ones of the sign text instances in digitized forms from an optical character recognizer (OCR). A semantic encoding and interpretation module receives the sign text instances and identifies semantics of the multiple road signs.

公开(公告)号：US11724720B2

公开(公告)日：2023-08-15

申请号：US17487809

申请日：2021-09-28

Applicant: GM Global Technology Operations LLC

Inventor： Amit Agarwal ,  Hyukseong Kwon ,  Rajan Bhattacharyya ,  Michael J. Daily ,  Gavin D. Holland

IPC: B60W60/00 ,  B60W50/00

CPC classification number: B60W60/0027 ,  B60W50/0098 ,  B60W2050/006 ,  B60W2554/4042 ,  B60W2554/4043 ,  B60W2554/4044 ,  B60W2556/60 ,  B60W2720/10 ,  B60W2720/12

Abstract: A method using unsupervised velocity prediction and correction for urban driving from sequences of noisy position estimates includes: performing a vehicle velocity prediction for one or more other vehicles in a vicinity of a host automobile vehicle; calculating a first heuristic based on a uniformity test; calculating a second heuristic based on a vehicle speed of the one or more other vehicles; combining the first heuristic and the second heuristic using a weighted sum; determining an uncertainty mask applying the combined first heuristic and the second heuristic and a heuristic threshold; and applying the uncertainty mask to identify a velocity correction for use by the host automobile vehicle.

公开(公告)号：US11524703B2

公开(公告)日：2022-12-13

申请号：US17103301

申请日：2020-11-24

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Scott Rad ,  Hyukseong Kwon ,  Rajan Bhattacharyya

IPC: B60W60/00 ,  B60W40/06

Abstract: A system for interactive hypothesis estimation of multi-vehicle traffic for autonomous driving is provided. The system includes a sensor upon a host vehicle providing data regarding an operating environment of the host vehicle and a computerized device. The computerized device is operable to monitor the data from the sensor, identify a road surface based upon the data, and identify a neighborhood object based upon the data. The computerized device is further operable to determine a pressure score for the neighborhood object based upon a likelihood that the neighborhood object will conflict with the host vehicle based upon the road surface and the neighborhood object, selectively track the neighborhood object based upon the pressure score, and navigate the host vehicle based upon the tracking of the neighborhood object.