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公开(公告)号：US11763609B2
公开(公告)日：2023-09-19
申请号：US17463486
申请日：2021-08-31
Applicant: GM Cruise Holdings LLC
CPC classification number: G07C5/0841 , G07C5/008 , G06N20/00
Abstract: Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.
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公开(公告)号：US20230242151A1
公开(公告)日：2023-08-03
申请号：US18298004
申请日：2023-04-10
Applicant: GM Cruise Holdings LLC
Inventor： Kenneth Ferguson , Samuel Harrison Glidden , Maximilian Gerrit Euchenhofer , Jeffrey Brandon , Michael Frank Schmidt
IPC: B60W60/00 , B60J1/02 , B60J1/08 , B60J1/18 , B60J3/04 , G01C21/34 , G02F1/163 , G05B19/4155 , G06Q50/30
CPC classification number: B60W60/0013 , B60J1/02 , B60J1/08 , B60J1/18 , B60J3/04 , B60W60/00253 , G01C21/3453 , G02F1/163 , G05B19/4155 , G06Q50/30 , G02F1/1334
Abstract: The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.
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公开(公告)号：US11687078B2
公开(公告)日：2023-06-27
申请号：US17681181
申请日：2022-02-25
Applicant: GM Cruise Holdings LLC
Inventor： Michael Frank Schmidt , Chase Brian Kaufman , Samuel Harrison Glidden , Erik Birk Nielsen , Jason Lee
CPC classification number: G05D1/0088 , G05D1/0291 , G06F17/18 , G07C5/006 , G07C5/0808
Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.
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公开(公告)号：US20220009318A1
公开(公告)日：2022-01-13
申请号：US17487498
申请日：2021-09-28
Applicant: GM Cruise Holdings LLC
Inventor： Michael Frank Schmidt , Samuel Harrison Glidden , Chase Brian Kaufman , Kyle Vogt
Abstract: Described herein is a system and method for detecting malodor within a cabin of an autonomous vehicle, wherein initiation of a remediation system and/or dispatch of the autonomous vehicle to a service hub for mitigating the malodor is based upon sensor signals that monitor the cabin of the autonomous vehicle. The remediation system can include devices such as an HVAC system or a window, which are operated to reduce the concentration of airborne molecules in the cabin of the autonomous vehicle when the concentration of airborne molecules exceeds an air quality threshold. A dispatch protocol may be initiated to dispatch the autonomous vehicle to a service hub when the malodor is associated with certain predefined incidents or when remediation fails to reduce the concentration of airborne molecules below the air quality threshold.
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公开(公告)号：US11113906B2
公开(公告)日：2021-09-07
申请号：US16215249
申请日：2018-12-10
Applicant: GM Cruise Holdings LLC
Abstract: Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.
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Patent Agency Ranking
16.发明授权公开(公告)号：US12194187B2
公开(公告)日：2025-01-14
申请号：US18457163
申请日：2023-08-28
Applicant: GM Cruise Holdings LLC
Inventor： Samuel Harrison Glidden , Erik Nielsen , Sriram Salem Kannan , Kenneth Ramon Ferguson , Maximilian Gerrit Euchenhofer , Michael Frank Schmidt
Abstract: Systems and methods are provided for automated detection and disinfection of microbes in autonomous vehicles, to prevent possible transmission of diseases or illness to subsequent users. Automated detection and disinfection of a vehicle includes autonomously scanning various parts of the autonomous vehicle for microbes, selecting a disinfectant based on detected microbes, and autonomously disinfecting at least a portion of the autonomous vehicle.
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公开(公告)号：US12084084B2
公开(公告)日：2024-09-10
申请号：US18298004
申请日：2023-04-10
Applicant: GM Cruise Holdings LLC
Inventor： Kenneth Ferguson , Samuel Harrison Glidden , Maximilian Gerrit Euchenhofer , Jeffrey Brandon , Michael Frank Schmidt
IPC: B60W60/00 , B60J1/02 , B60J1/08 , B60J1/18 , B60J3/04 , G01C21/34 , G02F1/163 , G05B19/4155 , G06Q50/40 , G02F1/1334 , G02F1/137
CPC classification number: B60W60/0013 , B60J1/02 , B60J1/08 , B60J1/18 , B60J3/04 , B60W60/00253 , G01C21/3453 , G02F1/163 , G05B19/4155 , G06Q50/40 , G02F1/1334 , G02F1/137 , G05B2219/45025
Abstract: The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.
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公开(公告)号：US11654935B2
公开(公告)日：2023-05-23
申请号：US17089969
申请日：2020-11-05
Applicant: GM Cruise Holdings LLC
Inventor： Kenneth Ramon Ferguson , Samuel Harrison Glidden , Maximilian Gerrit Euchenhofer , Jeffrey Brandon , Michael Frank Schmidt
IPC: B60W30/00 , B60W60/00 , B60J1/02 , B60J1/08 , B60J1/18 , B60J3/04 , G01C21/34 , G02F1/163 , G05B19/4155 , G06Q50/30 , G02F1/1334 , G02F1/137
CPC classification number: B60W60/0013 , B60J1/02 , B60J1/08 , B60J1/18 , B60J3/04 , B60W60/00253 , G01C21/3453 , G02F1/163 , G05B19/4155 , G06Q50/30 , G02F1/137 , G02F1/1334 , G05B2219/45025
Abstract: The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.
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公开(公告)号：US20220221859A1
公开(公告)日：2022-07-14
申请号：US17681181
申请日：2022-02-25
Applicant: GM Cruise Holdings LLC
Inventor： Michael Frank Schmidt , Chase Brian Kaufman , Samuel Harrison Glidden , Erik Birk Nielsen , Jason Lee
Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.
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公开(公告)号：US20200310424A1
公开(公告)日：2020-10-01
申请号：US16371008
申请日：2019-03-31
Applicant: GM Cruise Holdings LLC
Inventor： Michael Frank Schmidt , Chase Brian Kaufman , Samuel Harrison Glidden , Erik Birk Nielsen , Jason Lee
Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.
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