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公开(公告)号：US20240383481A1
公开(公告)日：2024-11-21
申请号：US18319037
申请日：2023-05-17
Applicant: GM Global Technology Operations LLC
Inventor： Alaa M. Khamis , Wei Tong
Abstract: A system for identifying adversarial behavior directed to an autonomous vehicle includes a pedestrian detection system in communication with a vehicle controller adapted to identify a pedestrian within proximity of the autonomous vehicle, track the pedestrian, determine if the pedestrian is intending to cross in front of the autonomous vehicle, and if the pedestrian tracking system determines that the pedestrian is not intending to cross in front of the autonomous vehicle, the pedestrian tracking system is further adapted to continue tracking the pedestrian, and if the pedestrian tracking system determines that the pedestrian is intending to cross in front of the autonomous vehicle, the pedestrian tracking system is further adapted to determine, with an adversarial intent algorithm, if the pedestrian is exhibiting any adversarial behavior.
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公开(公告)号：US20230281552A1
公开(公告)日：2023-09-07
申请号：US17683843
申请日：2022-03-01
Applicant: GM Global Technology Operations LLC
Inventor： Alaa M. Khamis , Yun Qian Miao , Romeo D. Garcia, JR. , Gaurav Talwar
CPC classification number: G06Q10/083 , G01G19/08 , G06N20/00
Abstract: A method includes virtually dividing a cargo area of a vehicle into a plurality of virtual cells. The method also includes creating, by implementing machine learning, a load profile for the cargo area. The load profile indicates a weight estimate at each of the plurality of virtual cells based on a load in the cargo area. Guidance on moving the load within the cargo area is provided based on the load profile to balance the load in the cargo area.
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13.发明公开公开(公告)号：US20230170652A1
公开(公告)日：2023-06-01
申请号：US17457009
申请日：2021-11-30
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Alaa M. Khamis , Yun Qian Miao , Ralph David Schlottke
CPC classification number: H01R13/6683 , H01R13/42 , H01R2201/26
Abstract: Systems, Methods, and Apparatuses are provided for monitoring cable connections between a trailer and vehicle. The system includes a monitoring device disposed within the vehicle; and a trailer cable and a breakaway trailer cable that provide a set of cable connections, the monitoring device is configured to: monitor the set of cable connections from connection data generated by a set of multimodal sensors integrated with the vehicle about statuses of the cable connections between the trailer and the vehicle; initiate a monitor function upon detection of a presence of the trailer connected to the vehicle by at least one sensor of the set of multimodal sensors integrated with the vehicle; and determine the statuses of the cable connections by fusing together using an information fusion algorithm one or more types of signal data from the set of multimodal sensors comprising optical signal data, radio signal data, and range signal data.
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公开(公告)号：US20230130201A1
公开(公告)日：2023-04-27
申请号：US17510568
申请日：2021-10-26
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Xu Fang Zhao , Gaurav Talwar , Alaa M. Khamis
Abstract: A motor vehicle includes a body defining a passenger compartment and having opposing driver and passenger sides. The vehicle includes driver and passenger side mirrors. The driver side mirror has a sweep angle (α) and an elevation angle (γ). The passenger side mirror has a sweep angle (β). The side mirrors are separated from each other by a distance (D). An adjustable driver seat has a height (H). An electronic controller, in response to position signals inclusive of angles (α), (β), and (γ), the distance (D), and the height (H), calculates a three-dimensional (3D) driver head position of a driver of the vehicle, and thereafter uses the 3D driver head position to improve performance of a driver assist system device. Functions of the controller may be implemented as a method or recorded on a computer readable medium for execution by a processor.
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15.发明授权公开(公告)号：US10861176B2
公开(公告)日：2020-12-08
申请号：US16200932
申请日：2018-11-27
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Wei Tong , Shuqing Zeng , Mohannad Murad , Alaa M. Khamis
Abstract: Systems and methods for depth estimation of images from a mono-camera by use of radar data by: receiving, a plurality of input 2-D images from the mono-camera; generating, by the processing unit, an estimated depth image by supervised training of an image estimation model; generating, by the processing unit, a synthetic image from a first input image and a second input image from the mono-camera by applying an estimated transform pose; comparing, by the processing unit, an estimated three-dimensional (3-D) point cloud to radar data by applying another estimated transform pose to a 3-D point cloud wherein the 3-D point cloud is estimated from a depth image by supervised training of the image estimation model to radar distance and radar doppler measurement; correcting a depth estimation of the estimated depth image by losses derived from differences: of the synthetic image and original images; of an estimated depth image and a measured radar distance; and of an estimated doppler information and measured radar doppler information.
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Patent Agency Ranking
公开(公告)号：US10803687B1
公开(公告)日：2020-10-13
申请号：US16558742
申请日：2019-09-03
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Alaa M. Khamis , Roddi L. MacInnes
IPC: G07C9/00 , B60R16/037 , B60R25/24
Abstract: A system implemented in a vehicle, the system comprises a sensing module, a zone determination module, and an intent determination module. The sensing module is configured to sense a signal from a mobile device proximate to the vehicle. The zone determination module is configured to determine locations of the mobile device in a plurality of zones around the vehicle based on the signal. A sequence of the locations indicates movement of the mobile device in the plurality of zones. The intent determination module is configured to select weights according to a set of rules to apply to successive locations in the sequence, determine an intent indicator of whether a person carrying the mobile device intends to enter the vehicle by applying the selected weights to the successive locations in the sequence, and generate an output to perform one or more operations in the vehicle based on the intent indicator.
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公开(公告)号：US20250166508A1
公开(公告)日：2025-05-22
申请号：US18512745
申请日：2023-11-17
Applicant: GM Global Technology Operations LLC
Inventor： Vyacheslav Berezin , Alaa M. Khamis , Mohammad Naserian
Abstract: A system and method for traffic signal violation risk assessment for a vehicle. The system includes a sensor such as a front camera module (FCM) configured to capture an image in a field of view forward the vehicle; a vehicle communications system configured for at least one of vehicle-to-infrastructure (V2I) communications and telematic communications with an infrastructure unit, wherein the infrastructure unit is capable of providing intersection information; and a traffic signal violation risk assessment (TSVR) module in communication with the FCM and the vehicle communications system. The TSVR module analyzes the captured image to determine an intersection, a traffic light at the intersection, and a traffic light current state (TLCS); collect intersection information from the infrastructure unit, and determine a risk of traffic signal violation based on the information and implement a physical action to mitigate the risk.
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公开(公告)号：US20250148840A1
公开(公告)日：2025-05-08
申请号：US18503729
申请日：2023-11-07
Applicant: GM Global Technology Operations LLC
Inventor： Alaa M. Khamis , Ali Rafiei , Chin-Hsu Lin , Alok Warey
Abstract: An accident severity estimation system for estimating the severity of an accident for a vehicle includes one or more microphones that capture a plurality of audio-based inputs indicative of verbal and non-verbal sounds emitted by one or more occupants of the vehicle. The accident severity estimation system also includes a vision system that captures a plurality of vision-based inputs representing image data indicative of the occupants, a motion-based input system that collects a plurality of motion-based inputs indicative of the motion of the vehicle during the accident, a thermal incident system that collects a plurality of thermal inputs indicative of thermal events within the vehicle, a propulsion system that provides a status-based input of the propulsion system of the vehicle, and one or more controllers.
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公开(公告)号：US20250143645A1
公开(公告)日：2025-05-08
申请号：US18503695
申请日：2023-11-07
Applicant: GM Global Technology Operations LLC
Inventor： Ali Rafiei , Chin-Hsu Lin , Alaa M. Khamis , Alok Warey
IPC: A61B5/00 , A61B5/01 , A61B5/05 , B60R21/0132 , B60R21/015 , E05B77/02 , E05F15/72 , G06V10/80 , G06V20/59 , G10L25/51
Abstract: A severity estimation system for one or more occupants located in an interior cabin of a vehicle involved in a vehicle-related incident includes one or more microphones located within the interior cabin of the vehicle that capture audio-based inputs, an occupant monitoring system (OMS) that collects scene recognition inputs indicative of a status of the occupants, a restraint system that collects a plurality of restraint-based inputs indicative of one or more restraint-based mechanisms associated with an occupant of the vehicle being activated during the vehicle-related incident, a motion-based indicator system that collect the plurality of motion-based inputs indicative of the motion of the vehicle during the vehicle-related incident, and one or more controllers. The one or more controllers fuse together the audio-based indicator, the OMS indicator, the restraint-based indicator, and the motion-based indicator to determine an incident severity indicator corresponding to the one or more occupants.
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公开(公告)号：US12221021B2
公开(公告)日：2025-02-11
申请号：US17592005
申请日：2022-02-03
Applicant: GM Global Technology Operations LLC
Inventor： Alaa M. Khamis , Lei Li , Paul H. K. Hui , Todd M. Tumas , Jarvis Chau
Abstract: A system in a vehicle includes a personal thermal device. The personal thermal device provides heating or cooling to an individual occupant of the vehicle. The system also includes a controller implementing reinforcement learning to control the personal thermal device. The controller obtains states, from one or more sensors, indicating current conditions, to obtain a score that is determined according to the states and that represents a reward used in the reinforcement learning. The controller provides a stochastic policy indicating a probability of taking a particular action to control the personal thermal device based on the score acting as a feedback for feedback control of the personal thermal device using the reinforcement learning.
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