公开(公告)号：US20200070822A1

公开(公告)日：2020-03-05

申请号：US16121485

申请日：2018-09-04

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Kenji Yamada ,  Rajan Bhattacharyya

IPC: B60W30/095 ,  G06F17/50 ,  G05D1/00

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving sensor data sensed from an environment associated with the vehicle; processing, by a processor, the sensor data to determine a plurality of objects within the environment of the vehicle; processing, by the processor, the sensor data to determine feature data associated with each of the plurality of objects, wherein the feature data includes current data of each object, history data of each object, and interaction data between each object and at least two other objects; processing, by the processor, the feature data associated with a first object of the plurality of objects with a model to determine a future position of the first object; and controlling, by the processor, the vehicle based on the future position.

公开(公告)号：US12033393B2

公开(公告)日：2024-07-09

申请号：US17487835

申请日：2021-09-28

Applicant: GM Global Technology Operations LLC

Inventor： Rodolfo Valiente Romero ,  Hyukseong Kwon ,  Rajan Bhattacharyya ,  Michael J. Daily ,  Gavin D. Holland

IPC: G06V20/58 ,  G01S17/89 ,  G06V10/82 ,  G06V20/64

CPC classification number: G06V20/58 ,  G01S17/89 ,  G06V10/82 ,  G06V20/64

Abstract: A method for performing object detection during autonomous driving includes: performing 3D object detection in a 3D object detection segment; uploading an output of multiple sensors in communication with the 3D object detection segment to multiple point clouds; transferring point cloud data from the multiple point clouds to a Region Proposal Network (RPN); independently performing 2D object detection in a 2D object detector in parallel with the 3D object detection in the 3D object detection segment; and taking a given input image and simultaneously learning box coordinates and class label probabilities in a 2D object detection network operating to treat object detection as a regression problem.

公开(公告)号：US20240132081A1

公开(公告)日：2024-04-25

申请号：US18048242

申请日：2022-10-19

Applicant: GM Global Technology Operations LLC

Inventor： Mia Levy ,  Evelyn Kim ,  Rajan Bhattacharyya

IPC: B60W50/00 ,  A61B5/16 ,  A61B5/18 ,  B60W40/08 ,  B60W50/14 ,  G06N3/04

CPC classification number: B60W50/0098 ,  A61B5/163 ,  A61B5/18 ,  B60W40/08 ,  B60W50/0097 ,  B60W50/14 ,  G06N3/049 ,  B60W2040/0872 ,  B60W2050/0083 ,  B60W2050/146 ,  B60W2540/22 ,  B60W2540/221 ,  B60W2540/225

Abstract: A system for dynamically adjusting interactions between an ADAS equipped vehicle and occupants of the vehicle includes one or more physiological sensors disposed on the vehicle and one or more control modules having a processor, a memory, and input/output (I/O) ports in communication with the one or more physiological sensors. The control modules execute program code portions stored in the memory that: collect sensor data from the one or more physiological sensors; analyze the sensor data and select a subset of the sensor data corresponding to a subset of the one or more physiological sensors; predicts, based on the subset of the sensor data, that an occupant of the vehicle is experiencing an increase in stress level; and adapt an ADAS action of the vehicle to reduce an occupant stress level from a first level to a second level lower than the first level.

公开(公告)号：US11661082B2

公开(公告)日：2023-05-30

申请号：US17082193

申请日：2020-10-28

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Kenji Yamada ,  Kyungnam Kim ,  Rajan Bhattacharyya

IPC: B60W60/00 ,  G06N20/00

CPC classification number: B60W60/0011 ,  B60W60/0027 ,  G06N20/00 ,  B60W2554/404 ,  B60W2554/4029

Abstract: A control system of the autonomous vehicle may generate multiple possible behavior control movements based on the driving goal and the assessment of the vehicle environment. In doing so, the method and system selects one of the best behavior control, among the multiple possible movements, and the selection is based on the quantitative grading of its driving behavior.

公开(公告)号：US11618479B2

公开(公告)日：2023-04-04

申请号：US17114822

申请日：2020-12-08

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Divya P. Kulkarni ,  Hyukseong Kwon ,  Kenji Yamada ,  Tiffany J. Hwu ,  Kyungnam Kim ,  Rajan Bhattacharyya ,  Michael J. Daily

IPC: B60W60/00 ,  G05D1/02

Abstract: A method of path planning for a host vehicle includes: receiving host vehicle, environmental and obstacle information; calculating one or more projected host vehicle locations; computing a projected obstacle location for each obstacle; and determining a collision potential between each projected host vehicle location and each projected obstacle location. Until a maximum number of steps is reached, and while at least one projected host vehicle location has an associated collision potential below a collision threshold, the method further includes repeating the calculating, computing and determining steps.

公开(公告)号：US20230100741A1

公开(公告)日：2023-03-30

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

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：US11485387B2

公开(公告)日：2022-11-01

申请号：US17114977

申请日：2020-12-08

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Michael D. Howard ,  Hyukseong Kwon ,  Rajan Bhattacharyya

IPC: B60W60/00 ,  B60W50/00 ,  B60W30/095 ,  B60W40/06 ,  G01C21/34 ,  B60W40/09 ,  G01C21/36 ,  G06N5/02

Abstract: A method of predictive navigation control for an ego vehicle includes: comparing a cue node to each of a plurality of episodic memory nodes in an episodic memory structure, wherein the cue node represents a new event representing distances, speeds and headings of one or more newly observed objects about the ego vehicle, and wherein the episodic memory structure includes a network of nodes each representing a respective previously existing event and having a respective node risk and likelihood; determining which of the nodes has a smallest respective difference metric, thus defining a best matching node; consolidating the cue node with the best matching node if the smallest difference metric is less than a match tolerance, else adding a new node corresponding to the cue node to the episodic memory structure; and identifying a likeliest next node and/or a riskiest next node.

公开(公告)号：US20220177001A1

公开(公告)日：2022-06-09

申请号：US17114822

申请日：2020-12-08

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Divya P. Kulkarni ,  Hyukseong Kwon ,  Kenji Yamada ,  Tiffany J. Hwu ,  Kyungnam Kim ,  Rajan Bhattacharyya ,  Michael J. Daily

IPC: B60W60/00 ,  G05D1/02

Abstract: A method of path planning for a host vehicle includes: receiving host vehicle, environmental and obstacle information; calculating one or more projected host vehicle locations; computing a projected obstacle location for each obstacle; and determining a collision potential between each projected host vehicle location and each projected obstacle location. Until a maximum number of steps is reached, and while at least one projected host vehicle location has an associated collision potential below a collision threshold, the method further includes repeating the calculating, computing and determining steps.

公开(公告)号：US20220156605A1

公开(公告)日：2022-05-19

申请号：US16951459

申请日：2020-11-18

Applicant: GM Global Technology Operations LLC

Inventor： Jaehoon Choe ,  Rajan Bhattacharyya ,  Kyungnam Kim ,  Kenji Yamada

IPC: G06N5/04 ,  B60W60/00

Abstract: A vehicle and a system and a method of operating the vehicle. The system includes a reasoning engine, an episodic memory, a resolver and a controller. The reasoning engine infers a plurality of possible scenarios based on a current state of an environment of the vehicle. The episodic memory determines a historical likelihood for each of the plurality of possible scenarios. The resolver selects a scenario from the plurality of possible scenarios using the historical likelihoods. The controller operates the vehicle based on the selected scenario.

公开(公告)号：US11320820B2

公开(公告)日：2022-05-03

申请号：US16365517

申请日：2019-03-26

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Youngkwan Cho ,  Rajan Bhattacharyya ,  Michael J. Daily

IPC: G05D1/00 ,  G06N3/02 ,  G05D1/02

Abstract: An autonomous vehicle, system and method of operating the autonomous vehicle. The system includes an episodic memory, a hyper-association module and a navigation system. The episodic memory stores a plurality of episodes, recalls a plurality of candidate episodes in response to receiving a partial prefix and recalls a hypothesis episode in response to receiving an intermediate episode. The hyper-association module receives the plurality of candidate episodes from the episodic memory and obtains the intermediate episode from the plurality of candidate episodes. The navigation system navigates the autonomous vehicle using the hypothesis episode.