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公开(公告)号:US12060083B2
公开(公告)日:2024-08-13
申请号:US17239155
申请日:2021-04-23
Applicant: MOTIONAL AD LLC
Inventor: Scott Drew Pendleton , Hans Andersen
CPC classification number: B60W60/0027 , B60W30/09 , B60W60/0016 , B60W2554/4029 , B60W2554/408 , B60W2554/80
Abstract: This disclosure describes an autonomous vehicle configured to obtain sensor data associated with objects proximate a projected route of the autonomous vehicle, determine static constraints that limit a trajectory of the autonomous vehicle along the projected route based on non-temporal risks associated with a first subset of the f objects, predict a position and speed of the autonomous vehicle as a function of time along the projected route based on the static constraints, identify temporal risks associated with a second subset of the objects based on the predicted position and speed of the autonomous vehicle, determine dynamic constraints that further limit the trajectory of the autonomous vehicle along the projected route to help the autonomous vehicle avoid the temporal risks associated with the second subset of the objects, and adjust the trajectory of the autonomous vehicle in accordance with the static constraints and the dynamic constraints.
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公开(公告)号:US20240182027A1
公开(公告)日:2024-06-06
申请号:US18554567
申请日:2022-04-05
Applicant: VOLKSWAGEN AKTIENGESELLSCHAFT
Inventor: Daniel MÜNNING
CPC classification number: B60W30/12 , B60W60/001 , G06V20/588 , H04W4/46 , B60W2420/403 , B60W2530/201 , B60W2552/53 , B60W2554/408 , B60W2556/65
Abstract: A method for creating a guidance trajectory for a first transportation vehicle which includes receiving swarm data for a route section that represent at least one motion trajectory of at least one second transportation vehicle traveling through this route section; determining a distance from the at least one motion trajectory represented by the swarm data to a determined roadway edge for the route section; and using an electronic computing device to apply the at least one motion trajectory to ascertain the guidance trajectory for the first transportation vehicle in response to the distance associated with the respective motion trajectory being greater than or equal to a predefined limit value for the route section, and to provide the guidance trajectory for the first transportation vehicle, as a result of which the first transportation vehicle is transversely controlled using the guidance trajectory.
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3.
公开(公告)号:US11958482B2
公开(公告)日:2024-04-16
申请号:US17266429
申请日:2019-05-03
Applicant: Robert Bosch GmbH
Inventor: Andrey Rudenko , Luigi Palmieri , Timm Linder
IPC: B60W30/095 , G06V40/20 , G08G1/16
CPC classification number: B60W30/0956 , G06V40/25 , G08G1/166 , B60W2554/4029 , B60W2554/4042 , B60W2554/4043 , B60W2554/4044 , B60W2554/406 , B60W2554/408
Abstract: A method for predicting at least one future velocity vector and/or a future pose of a pedestrian in an area of prediction. A map of a surrounding environment of the pedestrian and current velocity vectors of other pedestrians in the area of prediction are taken into account in the prediction.
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公开(公告)号:US20240059302A1
公开(公告)日:2024-02-22
申请号:US18071463
申请日:2022-11-29
Applicant: Motional AD LLC
Inventor: Shakiba Yaghoubi , Calin Belta , Noushin Mehdipour , Radboud Duintjer Tebbens
CPC classification number: B60W50/06 , B60W60/0015 , B60W60/0011 , B60W2554/4026 , B60W2554/4029 , B60W2554/408 , B60W2554/4046
Abstract: Provided are methods for testing of a control system of a vehicle using generated rulebook based scenarios, which can include determining a simulated environment, receiving a hierarchical plurality of autonomous vehicle rules, determining a trajectory of a simulated vehicle within the simulated environment, generating a plurality of simulated scenarios for the simulated vehicle, identifying at least one violation of at least one autonomous vehicle rule by the simulated vehicle in a set of the simulated scenarios, determining a scenario score for each simulated scenario based on the violations, and identifying at least one simulated scenario for a trained neural network of a vehicle based on the scenario scores.
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公开(公告)号:US20230252899A1
公开(公告)日:2023-08-10
申请号:US18096145
申请日:2023-01-12
Applicant: Mitsubishi Electric Corporation
Inventor: Yoshiki KANDA , Toshihide Satake , Haiyue Zhang
IPC: G08G1/16 , B60W60/00 , B60W30/095 , B60W40/04 , G08G1/09
CPC classification number: G08G1/166 , B60W60/0015 , B60W30/0956 , B60W40/04 , G08G1/093 , G08G1/164 , B60W2554/408
Abstract: A traffic control device of the present disclosure includes: a communication unit which receives target passing direction information and traffic information about moving objects in an intersection area transmitted from a traffic environment recognition device which acquires the traffic information; a pass schedule generation unit which predicts behaviors in the intersection area for each moving object to pass an intersection, on the basis of the traffic information and the target passing direction information, and generates a pass schedule in the intersection for each moving object; a collision judgment unit which judges a collision occurrence possibility in the intersection on the basis of the pass schedules; a passing order rank setting unit which sets passing order ranks if it is judged that collision will occur; and an adjusted pass schedule generation unit which generates adjusted pass schedules.
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公开(公告)号:US20230159039A1
公开(公告)日:2023-05-25
申请号:US18052553
申请日:2022-11-03
Applicant: Cortica, Ltd.
Inventor: Igal Raichelgauz , Karina Odinaev
IPC: B60W50/00 , B60W40/09 , B60W40/105 , B60W40/02
CPC classification number: B60W50/0097 , B60W40/02 , B60W40/09 , B60W40/105 , B60W2530/209 , B60W2554/408 , B60W2555/20
Abstract: A method for fuel efficiency optimization by predictive driving, the method comprises: determining a current state of a vehicle and current state of an environment of the vehicle; estimating a future state of the vehicle and a future state of the environment of the vehicle; wherein a future state of each one of the vehicle and the environment is a state at a future point of time following a current point of time; evaluating, whether the vehicle has to change one or more vehicle progress parameters between the current point of time and the future point of time; selecting a future driving behavior out of multiple future driving behaviors, that will implement the change of the one or more vehicle progress parameters, wherein the selecting is based on a fuel consumption associated with the change of the one or more future driving parameters; and generating at least one of a selected future driving behavior suggestion, a selected future driving behavior alert, and a selected future driving behavior command.
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7.
公开(公告)号:US20240270234A1
公开(公告)日:2024-08-15
申请号:US18169604
申请日:2023-02-15
Applicant: Ford Global Technologies, LLC
Inventor: Keith Weston , Andrew Denis Lewandowski , Brendan Diamond , Jordan Barrett , Matthew Johnson
IPC: B60W30/02 , B60W10/06 , B60W10/08 , B60W10/184 , B60W30/14 , B60W50/12 , B60W50/14 , B60W60/00 , G06N20/00
CPC classification number: B60W30/02 , B60W10/06 , B60W10/08 , B60W10/184 , B60W30/146 , B60W50/12 , B60W50/14 , B60W60/0015 , G06N20/00 , B60W2520/00 , B60W2554/408 , B60W2555/20
Abstract: Methods, systems, apparatus, and articles of manufacture to determine threshold speed for a vehicle and trailer are disclosed. An example apparatus disclosed herein includes memory, instructions, and programmable circuitry to execute the instructions to access information associated with at least one of a vehicle or a trailer coupled to the vehicle, determine, by executing a model based on the information, a threshold speed for the vehicle and the trailer, and prevent, by activating at least one vehicle control, the vehicle and the trailer from travelling at or above the threshold speed.
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公开(公告)号:US20240262357A1
公开(公告)日:2024-08-08
申请号:US18527940
申请日:2023-12-04
Applicant: PlusAI, Inc.
Inventor: Robert Joseph Dingli , Joseph Michael Martin
CPC classification number: B60W30/16 , B60W30/12 , B60W50/14 , B60W60/0015 , B60W60/0053 , B60W2552/53 , B60W2554/404 , B60W2554/408
Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining a rescue lane scenario for an environment, determining an amount of lateral bias for a vehicle, and generating planning and control data for the vehicle to laterally bias based on the amount of lateral bias.
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公开(公告)号:US12036990B2
公开(公告)日:2024-07-16
申请号:US16949920
申请日:2020-11-20
Applicant: Magna Electronics Inc.
Inventor: Harold E. Joseph , Muhammad Mohteshim Khan , Alexander Velichko
CPC classification number: B60W30/181 , B60R1/12 , B60R11/04 , B60W30/18154 , B60W50/14 , G06V10/255 , G06V10/56 , G06V20/582 , B60R2001/1253 , B60W2050/146 , B60W2420/403 , B60W2554/408 , B60W2555/60
Abstract: A vehicular vision system includes a camera viewing exterior of the vehicle and capturing image data, and an electronic control unit (ECU) having an image processor for processing captured image data to detect presence of objects in the view of the camera. The ECU, responsive to processing of captured image data, determines presence of an intersection controlled by at least one stop indicator, with one stop indicator designated for the lane along which the vehicle is traveling. The ECU determines a right-of-way order of other vehicles at the intersection relative to the equipped vehicle and determines when the equipped vehicle has the right-of-way based on the determined right-of-way order. The ECU provides an indication to the driver of the equipped vehicle when the equipped vehicle has the right-of-way.
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公开(公告)号:US12033399B1
公开(公告)日:2024-07-09
申请号:US18221363
申请日:2023-07-12
Applicant: PlusAI, Inc.
Inventor: Vignesh Subramanian , Anurag Paul , Abhishek Yadav
IPC: G06V20/58 , B60W60/00 , G06V10/10 , G06V10/22 , G06V10/74 , G06V10/764 , G06V10/774 , G06V10/82
CPC classification number: G06V20/584 , B60W60/0015 , B60W60/0016 , B60W60/00274 , G06V10/16 , G06V10/225 , G06V10/761 , G06V10/764 , G06V10/774 , G06V10/82 , B60W2554/4045 , B60W2554/408
Abstract: This application is directed to predicting vehicle turn and brake actions for at least partially autonomous vehicle driving. A first vehicle obtains a plurality of images along a road. For each image of the plurality of images, the first vehicle detects, from the image, a plurality of image regions each corresponding to a respective vehicle light of a second vehicle positioned on the road near the first vehicle. The first vehicle determines, for each image region, a probability that a respective vehicle light of the second vehicle changed its state. The first vehicle predicts a vehicle action of the second vehicle based on the probability for each image region. The first vehicle at least partially autonomously driving the first vehicle based on the predicted vehicle action of the second vehicle.
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