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公开(公告)号:US20250136152A1
公开(公告)日:2025-05-01
申请号:US18494234
申请日:2023-10-25
Applicant: GM Global Technology Operations LLC
Inventor: Daniel Aguilar Marsillach , Rouhollah Sayed Jafari
IPC: B60W60/00
Abstract: A method for predicting an actor occupancy corridor includes receiving input data, predicting an occupancy sets of the actor using reachability analysis and the input data, determining an occupancy corridor constraints of the actor using a machine learning model and the input data, and determining an occupancy corridor of the actor using the occupancy corridor constraints of the actor using the machine learning model and the occupancy sets of the actor using a reachability analysis. Moreover, the method includes controlling the movement of a host vehicle based on the occupancy corridor of the actor.
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公开(公告)号:US20250091617A1
公开(公告)日:2025-03-20
申请号:US18467923
申请日:2023-09-15
Applicant: GM Global Technology Operations LLC
Abstract: An authentication system for a voice controlled autonomous driving system of a vehicle includes a plurality of perception sensors for collecting perception data indicative of an environment surrounding the vehicle and one or more controllers in electronic communication with one or more autonomous driving controllers of the voice controlled autonomous driving system and the plurality of perception sensors. The voice controlled autonomous driving system determines the trajectory of the vehicle based on a voice command generated by an occupant of the vehicle. The one or more controllers execute instructions to calculate a credibility score of the occupant that quantifies a reliability of one or more voice-based commands generated by the occupant. In response to determining an overall credibility score of the occupant is less than the threshold access score, the one or more controllers adjust an access level of the voice controlled autonomous driving system for the occupant.
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公开(公告)号:US20250091603A1
公开(公告)日:2025-03-20
申请号:US18467917
申请日:2023-09-15
Applicant: GM Global Technology Operations LLC
Abstract: A voice controlled autonomous driving system for determining a trajectory of a vehicle based on a voice command includes one or more controllers executing instructions to receive an electrical signal representative of the voice command, where the voice command indicates a driving maneuver. The controllers convert the electrical signal into a text-based command, classify the text-based command into one of a plurality of pre-compiled driving maneuvers based on one or more machine learning algorithms, and classify the pre-compiled driving maneuver as either a route-based maneuver or a behavior-based maneuver, and in response to determining the precompiled driving maneuver is a route-based driving maneuver, identify one or more relevant lane segments of the map data affected by the pre-compiled driving maneuver and determine an updated route plan by updating a current route plan the vehicle is presently following to include the one or more relevant lane segments.
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公开(公告)号:US20240336281A1
公开(公告)日:2024-10-10
申请号:US18295967
申请日:2023-04-05
Applicant: GM Global Technology Operations LLC
Inventor: Rouhollah Sayed Jafari , Alireza Esna Ashari Esfahani
CPC classification number: B60W60/0011 , B60W50/0097 , G06V20/582 , G06V20/588 , H04W4/44 , B60W2420/403 , B60W2552/53 , B60W2555/60 , B60W2556/35 , B60W2556/40 , B60W2556/45
Abstract: An autonomous driving system for a vehicle includes one or more controllers that execute instructions to monitor image data captured by one or more cameras. In response to detecting a road sign in the image data, the controllers interpret a message displayed by the road sign. The controllers classify the message conveyed by the road sign into a sign application class based on a time frame when the message conveyed by the road sign is applicable. In response to determining the message conveyed by the road sign is classified as a future traffic condition encountered by the vehicle, the controllers identify lane segments having one or more updated lane attributes that are impacted by the message of the road sign and determine a planned route based on the one or more updated lane attributes of the lane segments impacted by the message displayed by the road sign.
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