公开(公告)号：US20240294191A1

公开(公告)日：2024-09-05

申请号：US18578478

申请日：2022-07-12

Applicant: Daimler Truck AG

Inventor： Fridtjof STEIN

IPC: B60W60/00 ,  B60W30/09

CPC classification number: B60W60/0017 ,  B60W30/09 ,  B60W2554/4045

Abstract: A method for operating a first vehicle which is a driverless ego vehicle. The method includes performing a situation analysis in the driverless ego vehicle to identify an overtaking maneuver that is being carried out by a second vehicle in which the second vehicle can no longer be expected to avoid a collision with the driverless ego vehicle and/or with a third vehicle. When the overtaking maneuver is identified, a strategy is determined for avoiding or reducing a consequence of a collision in the driverless ego vehicle depending on whether it has been identified in the situation analysis that at least one of the driverless ego vehicle, the second vehicle, and the third vehicle is manned.

公开(公告)号：US20240182074A1

公开(公告)日：2024-06-06

申请号：US18526939

申请日：2023-12-01

Applicant: HUSQVARNA AB

Inventor： Arvi Jonnarth ,  Georg Hagele ,  Jonathan Andersson ,  Kamil Mudy

IPC: B60W60/00

CPC classification number: B60W60/0017 ,  B60W60/0011 ,  B60W2300/15 ,  B60W2554/4029 ,  B60W2554/4041

Abstract: A robotic work tool system (200) comprising a robotic work tool (100) arranged to operate in an operational area (205) wherein the robotic work tool comprises an obstacle sensor (185) and a controller (110) configured to receive (410) sensor input from the obstacle sensor (185), detect (415) an obstacle (H) and determine (420) a dimension (W) of the obstacle (H), determine (425) whether the dimension exceeds a threshold size, and if so circumvent (430) the obstacle (H) while maintaining a safety distance (D) to the obstacle (H), determine (435) that there is a human behind the obstacle (H) and if so take (440) evasive action.

公开(公告)号：US11975739B2

公开(公告)日：2024-05-07

申请号：US17287123

申请日：2018-12-06

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Wojciech Kucharski ,  Pawel Jurzak ,  Grzegorz Kaplita

IPC: B60W60/00 ,  B60R13/10 ,  H04W4/40

CPC classification number: B60W60/0017 ,  H04W4/40 ,  B60R13/10 ,  B60W2556/45

Abstract: A process for validating a public safety agency command issued to a vehicle. In operation, a public safety agency controller receives a public safety agency command validation inquiry from a vehicle communication device. The inquiry indicates that the vehicle communication device has detected a public safety agency command issued to the vehicle and includes a first vehicle identifier and a first vehicle location. The controller receives a public safety agency command information including a second vehicle identifier and a second vehicle location from a public safety agency communication device. The validity of the public safety agency command is determined based on comparing the first vehicle identifier with the second vehicle identifier and comparing the first vehicle location with the second vehicle location. The controller then transmits a notification to the vehicle communication device identifying the validity of the public safety agency command.

公开(公告)号：US20240140487A1

公开(公告)日：2024-05-02

申请号：US18488700

申请日：2023-10-17

Applicant: UATC, LLC

Inventor： Colin Jeffrey Green ,  Wei Liu ,  David McAllister Bradley ,  Vijay Subramanian

IPC: B60W60/00 ,  B60W30/095 ,  B60W30/18

CPC classification number: B60W60/0017 ,  B60W30/0953 ,  B60W30/0956 ,  B60W30/18109 ,  B60W30/18154 ,  B60W60/0027 ,  B60W60/00276 ,  G08G1/166

Abstract: The present disclosure provides autonomous vehicle systems and methods that include or otherwise leverage a machine-learned yield model. In particular, the machine-learned yield model can be trained or otherwise configured to receive and process feature data descriptive of objects perceived by the autonomous vehicle and/or the surrounding environment and, in response to receipt of the feature data, provide yield decisions for the autonomous vehicle relative to the objects. For example, a yield decision for a first object can describe a yield behavior for the autonomous vehicle relative to the first object (e.g., yield to the first object or do not yield to the first object). Example objects include traffic signals, additional vehicles, or other objects. The motion of the autonomous vehicle can be controlled in accordance with the yield decisions provided by the machine-learned yield model.

公开(公告)号：US20240101155A1

公开(公告)日：2024-03-28

申请号：US18369863

申请日：2023-09-19

Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor： Hiroshi Nakamura ,  Katsuhiro Sakai ,  Taisuke Sugaiwa ,  Naoki Nagasaka ,  Ray Kawanishi

IPC: B60W60/00 ,  G06V20/58 ,  G06V40/16

CPC classification number: B60W60/0017 ,  G06V20/58 ,  G06V40/161 ,  B60W2420/42 ,  B60W2554/20 ,  B60W2554/4029 ,  B60W2555/60

Abstract: A route planner detects a pedestrian from surrounding data representing a situation of surroundings of a vehicle, identifies a position of a pause-by object in the surroundings of the vehicle prompting the pedestrian to pause, creating a travel route over which the vehicle will travel when the pedestrian is detected, assuming the pedestrian will enter a road on which the vehicle will travel when the identified position of the pause-by object is not in the vicinity of the pedestrian, and assuming the pedestrian will not enter the road when the identified position of the pause-by object is in the vicinity of the pedestrian.

公开(公告)号：US11912306B2

公开(公告)日：2024-02-27

申请号：US17438537

申请日：2020-03-20

Applicant: ZF FRIEDRICHSHAFEN AG

Inventor： Steven Kanzler ,  Kiran Balasubramanian ,  Carl Munch ,  Andreas Fleckner ,  Harald Pfriender ,  Michal Duchowski ,  Charles Bartlett ,  Huahn-Fern Yeh

IPC: B60W60/00 ,  B60W30/095 ,  B60W40/114

CPC classification number: B60W60/0017 ,  B60W30/095 ,  B60W40/114 ,  B60W2554/4029

Abstract: A method helps to protect an occupant of a vehicle (10) equipped with an automated driving system (200) and a vehicle safety system (100) by detecting low impact crash events (99) with the vehicle (10). The method includes utilizing automated driving sensors (220, 230, 240, 250, 260) of the automated driving system (200) to identify possible low impact collision risks. The method also includes utilizing vehicle safety system sensors (110, 115, 120, 125, 130) of the vehicle safety system to determine a low impact collision resulting from the identified possible low impact collision. A vehicle safety system (100) includes an airbag controller unit (150) configured to implement the method to determine low impact crash events with the vehicle (10).

公开(公告)号：US11910271B2

公开(公告)日：2024-02-20

申请号：US18121971

申请日：2023-03-15

Applicant: GM Cruise Holdings LLC

Inventor： Michael Frank Schmidt ,  Sriram Salem Kannan

IPC: H04W4/02 ,  H04W4/40 ,  B60W60/00 ,  B60Q1/50

CPC classification number: H04W4/023 ,  B60Q1/507 ,  B60W60/0017 ,  H04W4/026 ,  H04W4/40 ,  B60W2556/45

Abstract: A method for communication between autonomous vehicles and personnel can include receiving a signal from a remote computing system, the signal based upon a position of an autonomous vehicle and a first position of a mobile device, wherein the signal identifies that the mobile device is located in a path of the autonomous vehicle, responsive to receipt of the signal from the remote computing system, stopping the autonomous vehicle, receiving an updated signal from the remote computing system, the updated signal based upon a second position of the mobile device, the second position effective to facilitate a determination that the mobile device is no longer within the path of the autonomous vehicle, and responsive to receiving the updated position of the mobile device, resuming operation of the autonomous vehicle along the path. An autonomous vehicle and non-transitory computer-readable medium is also provided.

公开(公告)号：US20230304800A1

公开(公告)日：2023-09-28

申请号：US17705796

申请日：2022-03-28

Applicant: Arm Limited

Inventor： Remy POTTIER ,  Simon Roger HOLLAND ,  Eric VAN HENSBERGEN ,  Christopher Daniel EMMONS

IPC: G01C21/16 ,  G06N20/20 ,  B60W60/00 ,  G06V20/52 ,  G01C21/00

CPC classification number: G01C21/16 ,  G06N20/20 ,  B60W60/0017 ,  G06V20/52 ,  G01C21/3848 ,  G01C21/3885

Abstract: The present disclosure relates to a method of augmenting human perception of the surroundings, comprising: receiving a first set of data from a user device associated with the user, the first set of data comprising at least location information; receiving a second set of data from a local distributed database associated with the location information, the second set of data comprising a position of one or more entities; constructing a digital model representing the user and the one or more entities using the first and second set of data; projecting a respective course for the user and for the or each entity by inputting the digital model into a first machine learning algorithm (MLA) to infer one or more events; identifying at least one inferred event relevant to the user by inputting the one or more inferred events to the first MLA; and communicating the at least one relevant inferred event to the user.

公开(公告)号：US20230294736A1

公开(公告)日：2023-09-21

申请号：US17698673

申请日：2022-03-18

Applicant: GM Cruise Holdings LLC

Inventor： Jing Lu ,  Zheng Qu

IPC: B60W60/00

CPC classification number: B60W60/0016 ,  B60W60/0017 ,  B60W2420/42 ,  B60W2420/52 ,  B60W2554/4049

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media to autonomous driving vehicles and, in particular, for tracking objects in an environment that an autonomous vehicle (AV) is navigating. A method includes receiving environment data from at least one sensor in an AV control system mounted to the AV, the environment data including online tracking data that identifies at least one object within the environment data that is recorded at drive time; annotating the at least one object from the environment data that are incorrectly identified by the AV control system; executing an offline tracking engine to generate offline tracking data that tracks the objects over time in the environment data; and identifying safety gaps between the online tracking data and the offline tracking data.

公开(公告)号：US11763163B2

公开(公告)日：2023-09-19

申请号：US16932681

申请日：2020-07-17

Applicant: Perceptive Automata, Inc.

Inventor： Jacob Reinier Maat

IPC: B60W60/00 ,  B60W40/02 ,  B60W40/09 ,  G06N3/084 ,  G06N3/08 ,  G05D1/02 ,  G06V20/58 ,  G06N3/048 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/56 ,  G06V10/50

CPC classification number: G06N3/084 ,  B60W40/02 ,  B60W40/09 ,  B60W60/0017 ,  B60W60/0025 ,  B60W60/00276 ,  G05D1/0246 ,  G06N3/048 ,  G06N3/08 ,  G06V10/507 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/56 ,  G06V20/584 ,  B60W2420/42 ,  B60W2540/229 ,  B60W2540/30 ,  G05D2201/0213

Abstract: An autonomous vehicle uses machine learning based models such as neural networks to predict hidden context attributes associated with traffic entities. The hidden context represents behavior of the traffic entities in the traffic. The machine learning based model is configured to receive a video frame as input and output likelihoods of receiving user responses having particular ordinal values. The system uses a loss function based on cumulative histogram of user responses corresponding to various ordinal values. The system identifies user responses that are unlikely to be valid user responses to generate training data for training the machine learning mode. The system identifies invalid user responses based on response time of the user responses.