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公开(公告)号：US20250065801A1
公开(公告)日：2025-02-27
申请号：US18813859
申请日：2024-08-23
Applicant: HYUNDAI MOTOR COMPANY , KIA CORPORATION
Inventor： Jun Hyung Song
Abstract: A method of controlling an autonomous vehicle includes sensing, using a first sensor, an object located in front of the autonomous vehicle as the autonomous vehicle is driving on a driving path using a low beam of a headlight mounted on the autonomous vehicle. The method also includes, when a portion of the object is exposed by the low beam and is additionally sensed by a second sensor, switching, by a processor, the low beam to a high beam.
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2.发明授权公开(公告)号：US12233918B2
公开(公告)日：2025-02-25
申请号：US17581568
申请日：2022-01-21
Applicant: FORD GLOBAL TECHNOLOGIES, LLC
Inventor： Brent Tweddle , Maen Hammod
Abstract: Disclosed herein are system, method, and computer program product embodiments for determining objects that are kinematically capable, even if non-compliant with rules-of-the-road, of affecting a trajectory of a vehicle. The computing system (e.g., perception system, etc.) of a vehicle may generate a trajectory for the vehicle and a respective trajectory for each object of a plurality of objects within a field of view (FOV) of the sensing device associated with the vehicle. The computing system may identify objects of the plurality of objects with trajectories that intersect the trajectory for the vehicle and remove from such objects, objects with trajectories that at least one of exit the FOV or intersect with other objects of the plurality of objects within the FOV. The computing system may select, from remaining objects with trajectories that intersect the trajectory for the vehicle, objects with trajectories that indicate a respective collision between the object and the vehicle and assign a severity of the respective collision.
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公开(公告)号：US12233897B2
公开(公告)日：2025-02-25
申请号：US18046215
申请日：2022-10-13
Applicant: Ford Global Technologies, LLC
Inventor： Syed Amaar Ahmad , Azin Neishaboori
Abstract: A vehicle driving assistance system is disclosed. The system may include a transceiver configured to receive a source location and a destination location for a user trip, a user driving information and road information associated with a plurality of geographical zones between the source location and the destination location. The system may further include a processor configured to calculate a user driving index based on the user driving information. Further, the processor may be configured to calculate a zone index for each geographical zone based on the road information. The processor may be further configured to correlate the user driving index and the zone index, and calculate a driver assistance index for each geographical zone based on the correlation. The processor may perform a control action when the calculated driver assistance index is greater than a predetermined threshold.
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公开(公告)号：US12233892B2
公开(公告)日：2025-02-25
申请号：US18426462
申请日：2024-01-30
Applicant: Ford Global Technologies, LLC
Inventor： Michael Edward Brewer , Kevin Sallee
Abstract: A vehicle control system for a vehicle may include a controller, a single pedal and a torque control module. The controller may be operably coupled to components and/or sensors of the vehicle to receive information indicative of operational intent of an operator of the vehicle and information indicative of vehicle status. The single pedal may be configured to provide the information indicative of operational intent. The torque control module may be configured to generate both a propulsive torque request and a braking torque request based on the information indicative of the operational intent and the information indicative of vehicle status.
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公开(公告)号：US12233884B2
公开(公告)日：2025-02-25
申请号：US17776903
申请日：2019-11-14
Applicant: ZF Friedrichshafen AG
Inventor： Timon Busse , Matthias Friedl , Timo Wehlen , Valerie Engel , Christian Baumann
Abstract: A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of a first component (18) of a motor vehicle (1) and of a second component (19) of the motor vehicle (1). The MPC algorithm (13) includes a cost function (15) to be minimized and a dynamic model (14) of the motor vehicle (1). The dynamic model (14) includes a loss model (27) of the motor vehicle (1). The loss model (27) describes an overall loss of the motor vehicle (1). The cost function (15) includes a first term, which represents the overall loss of the motor vehicle (1). The overall loss depends on a combination of operating values, which includes a first value of a first operating parameter and a second value of a second operating parameter. The processor unit (3) is also configured for determining, by executing the MPC algorithm (13) as a function of the loss model (14), that combination of operating values, by which the first term of the cost function (15) is minimized.
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Patent Agency Ranking
公开(公告)号：US12233873B2
公开(公告)日：2025-02-25
申请号：US18073072
申请日：2022-12-01
Applicant: HONDA MOTOR CO., LTD.
Inventor： Yoshihiro Oniwa
IPC: B60W30/12 , B60Q1/34 , B60W30/18 , B60W30/182 , B60W40/04 , B60W50/10 , B60W50/12 , B60W50/14 , B60W50/00
Abstract: A control device for performing a travel control of a vehicle includes: a lane change intention detection unit configured to detect an intention of a driver to change a lane based on a predetermined operation on an operation device by the driver; and a travel control unit configured to determine whether a lane change of the vehicle is possible based on a surrounding situation, and to control the lane change based on a detection result of the lane change intention detection unit and a determination result of whether the lane change is possible. The travel control unit is configured to determine a start timing of a lateral movement in the lane change based on an operation on the operation device when the lane change is possible after the intention of the driver to change the lane is detected.
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公开(公告)号：US20250058801A1
公开(公告)日：2025-02-20
申请号：US18721047
申请日：2022-12-19
Applicant: INSTITUTO HERCILIO RANDON
Inventor： Joel BOARETTO , Maicon MOLON , Guilherme Garbossa PASTRE , Luciano Rodrigues MAIA , Jônatas Lemuel Bispo ZOTTIS
Abstract: The present invention describes a system for an autonomous cargo transport vehicle aiming to provide safety and reliability of autonomous vehicles, regardless of the level of automation and the route or trajectory. Specifically, the present invention comprises a smart system that identifies a road implement for an autonomous tractor vehicle by means of static data from the road implement linked to a target, with a system processor executing control configurations based on the static data. Thus, based on the identification and execution of control configurations, the present invention allows the coupling of the autonomous tractor vehicle to the road implement, transportation of the road implement from one point to another under different levels of automation, so that the processor performs steps of pre-configured decision making, whether predicted or in real time, based on implement data read, to define the best movement route for the autonomous tractor vehicle and/or autonomous tractor vehicle+implement (CVC). The present invention is located in the fields of mechanical engineering, computer engineering, data engineering and robotic engineering, focused on the area of autonomous vehicles.
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公开(公告)号：US20250058793A1
公开(公告)日：2025-02-20
申请号：US18235499
申请日：2023-08-18
Applicant: Zhen LI , Roeland Petrus Hubertus VERTEGAAL
Inventor： Zhen LI , Roeland Petrus Hubertus VERTEGAAL
Abstract: Methods and devices for managing output devices in a vehicle are disclosed. Data is obtained representing a sensed position of the first vehicle and a sensed feature in a proximity of the first vehicle. A first probability density function (PDF) is defined based on the obtained data, representing likelihood of a future position of the first vehicle. A second PDF is defined based on the obtained data, representing likelihood related to a proxemic risk presented by the sensed feature. A risk metric is computed representing a likelihood of the proxemic risk to the first vehicle based on an overlap between the first PDF and the second PDF. In response to the risk metric exceeding a defined risk threshold, at least one haptic output unit in the first vehicle is controlled to provide haptic output indicative of the proxemic risk.
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公开(公告)号：US20250058760A1
公开(公告)日：2025-02-20
申请号：US18661251
申请日：2024-05-10
Applicant: Torc Robotics, Inc.
Inventor： Rikki Valverde , Lorenzo Tarsitano
Abstract: A method may include monitoring, by a processor associated with an autonomous vehicle, a status of a traffic light. The method may include monitoring, by the processor, a movement status of at least one vehicle within a same lane as the autonomous vehicle, the at least one vehicle having a stationary position in relation to the traffic light. The method may include executing, by the processor, a computer model to predict a change of movement status for the at least one vehicle in accordance with the status of the traffic light. The method may include in response to the computer model predicting a change of movement status for the at least one vehicle from the stationary position to a moving status, instructing, by the processor, the autonomous vehicle to increase a torque value of the autonomous vehicle at a predetermined time before the change of the movement status.
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公开(公告)号：US20250054394A1
公开(公告)日：2025-02-13
申请号：US18924713
申请日：2024-10-23
Applicant: Waymo LLC
Inventor： Nathaniel Fairfield , Joshua Seth Herbach , Andrew Hughes Chatham , Michael Steven Montemerlo
Abstract: Example systems and methods allow for reporting and sharing of information reports relating to driving conditions within a fleet of autonomous vehicles. One example method includes receiving information reports relating to driving conditions from a plurality of autonomous vehicles within a fleet of autonomous vehicles. The method may also include receiving sensor data from a plurality of autonomous vehicles within the fleet of autonomous vehicles. The method may further include validating some of the information reports based at least in part on the sensor data. The method may additionally include combining validated information reports into a driving information map. The method may also include periodically filtering the driving information map to remove outdated information reports. The method may further include providing portions of the driving information map to autonomous vehicles within the fleet of autonomous vehicles.
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