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公开(公告)号：US20220177002A1
公开(公告)日：2022-06-09
申请号：US17114977
申请日：2020-12-08
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Michael D. Howard , Hyukseong Kwon , Rajan Bhattacharyya
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.
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12.发明申请公开(公告)号：US20220161825A1
公开(公告)日：2022-05-26
申请号：US17103301
申请日：2020-11-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Scott Rad , Hyukseong Kwon , Rajan Bhattacharyya
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.
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公开(公告)号：US10409279B2
公开(公告)日：2019-09-10
申请号：US15420946
申请日：2017-01-31
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Hyukseong Kwon , Youngkwan Cho , Rajan Bhattacharyya , Michael J. Daily
Abstract: A system and method is taught for data processing in an autonomous vehicle control system. Using information is acquired from the vehicle, network interface, and sensors mounted on the vehicle, the system can perceive situations around it with much less complexity in computation without losing crucial details, and then make navigation and control decisions. The system and method are operative to generate situation aware events, store them, and recall to predict situations for autonomous driving.
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公开(公告)号：US20250065917A1
公开(公告)日：2025-02-27
申请号：US18453489
申请日：2023-08-22
Applicant: GM Global Technology Operations LLC
Inventor： Michael Cui , Hyukseong Kwon , Rodolfo Valiente Romero , Andrew Howe , Alexander Waagen , Alexei Kopylov , Marcus James Huber , Alireza Esna Ashari Esfahani
IPC: B60W60/00 , B60W30/09 , B60W30/095
Abstract: According to several aspects, a method for path planning for a vehicle includes determining a predicted trajectory of a remote vehicle. The predicted trajectory of the remote vehicle includes a plurality of predicted trajectory nodes. The method further includes determining a plurality of possible trajectories for the vehicle. The plurality of possible trajectories includes a plurality of possible trajectory nodes. The method further includes determining one or more evaluation metrics of each of the plurality of possible trajectory nodes based at least in part on a weather condition in an environment surrounding the vehicle. The method further includes selecting an optimal trajectory for the vehicle from the plurality of possible trajectories based at least in part on the one or more evaluation metrics of each of the plurality of possible trajectory nodes. The method further includes performing a first action based at least in part on the optimal trajectory.
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公开(公告)号：US20240425050A1
公开(公告)日：2024-12-26
申请号：US18340249
申请日：2023-06-23
Applicant: GM Global Technology Operations LLC
Inventor： Rodolfo Valiente Romero , Hyukseong Kwon , Marcus James Huber , Alireza Esna Ashari Esfahani , Michael Cui
Abstract: A hybrid probabilistic driving behavior modeling system conditioned on weather for a vehicle includes one or more controllers executing instructions to determine, by a longitudinal driving model stored by the one or more controllers, a probabilistic longitudinal velocity of the vehicle with respect to a current weather condition based on a car-following model, a semantic rule system, and a speed and visibility model. The current weather condition indicates an adverse weather condition impacting driving conditions for the vehicle. The one or more controllers determine, by a probabilistic lateral driving model by the one or more controllers, one or more lane choices for the vehicle with respect to the current weather condition based on a route plan of the vehicle and perception data indicative of an environment surrounding the vehicle and selects a final lane choice from the one or more lane choices.
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Patent Agency Ranking
16.发明授权公开(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
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.
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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
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.
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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
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.
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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
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.
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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
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.
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