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71.
公开(公告)号:US20230160701A1
公开(公告)日:2023-05-25
申请号:US18151048
申请日:2023-01-06
Applicant: DENSO CORPORATION
Inventor: Masashi TSUKADAIRA
CPC classification number: G01C21/32 , G01C21/3822 , G01C21/3841
Abstract: A map processing system includes a feature quantity calculating section configured to calculate a feature quantity of a feature point included in a map, an integrated feature point generating section configured to integrate a plurality of feature points to generate an integrated feature point, an integrated feature point matching section configured to match integrated feature points between a plurality of maps, a feature point matching section configured to match individual feature points between the plurality of maps, and a map processing section configured to process a map based on a matching result of the integrated feature points and a matching result of the individual feature points.
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72.
公开(公告)号:US20240337504A1
公开(公告)日:2024-10-10
申请号:US18239914
申请日:2023-08-30
Applicant: HL Klemove Corp.
Inventor: Yeongho SON
IPC: G01C21/00
CPC classification number: G01C21/3848 , G01C21/3822
Abstract: A method of updating an HD map using heterogeneous sensor map matching and an apparatus for performing the same according to an exemplary embodiment of the present disclosure determine whether or not the HD map has changed using map matching based on sensed values of heterogeneous sensors, and in a case where the HD map has changed, update the HD map based on the sensed values of the heterogeneous sensors, thereby reducing the cost and time required for maintenance of the HD map.
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公开(公告)号:US20240310168A1
公开(公告)日:2024-09-19
申请号:US18602020
申请日:2024-03-12
Applicant: Honda Motor Co., Ltd. , Pacific Consultants Co., Ltd.
Inventor: Takeo Tokunaga , Hiroyuki Onimaru , Atsuki Kakinuma , Yasuo Oishi , Akira Iihoshi
CPC classification number: G01C7/04 , G01C21/3822
Abstract: A road surface evaluation apparatus includes a microprocessor is configured to perform: calculating a roughness value of road surface corresponding to a predetermined period based on driving information of the plurality of vehicles during the predetermined period; and outputting roughness information including the roughness value. The microprocessor is configured to further perform, when calculating the roughness value corresponding to a second predetermined period, estimating whether a magnitude of a change rate of the roughness value corresponding to the second predetermined period with respect to the roughness value corresponding to a first predetermined period exceeds a predetermined threshold to acquire, when the magnitude is estimated to exceed the predetermined threshold, more pieces of the driving information to be used for calculating the roughness value corresponding to the second predetermined period than when the magnitude is estimated to be equal to or less than the predetermined threshold.
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公开(公告)号:US20240274015A1
公开(公告)日:2024-08-15
申请号:US18568826
申请日:2022-06-14
Applicant: Robotic Research OpCo, LLC
Inventor: Joseph PUTNEY , Alberto LACAZE , Edward MOTTERN , Anne SCHNEIDER , Karl MURPHY
CPC classification number: G08G1/22 , G01C21/3822 , G01C21/3848 , G05D1/2462 , G05D1/6985 , B60W2552/35 , B60W2554/20 , B60W2556/40 , B60W2556/65
Abstract: A module for a leader vehicle of a convoy can have a suite of sensors, a communication system, and a controller. The sensor suite can have at least one feature sensor that detects features and/or terrain in an environment and at least one location sensor that determines a location of the leader vehicle. Via the sensor suite, the controller can detect features as the leader vehicle travels along a route through the environment as well as the route of the leader vehicle. The controller can build a map for at least part of the environment with the detected route therethrough. Data indicative of the map and the detected route can then be transmitted to one or more follower vehicles. In some embodiments, the leader vehicle is manually driven while the follower vehicles operate autonomously.
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公开(公告)号:US20240246558A1
公开(公告)日:2024-07-25
申请号:US18157880
申请日:2023-01-23
Applicant: GM Global Technology Operations LLC
Inventor: Guangyu Jeff Zou , Brent Navin Roger Bacchus , Michael Alan Losh , Indranil Palit
CPC classification number: B60W60/001 , B60W40/06 , G01C21/3822 , B60W2552/53 , B60W2556/00
Abstract: A scene creation system for an autonomous vehicle includes one or more controllers executing instructions to receive perception data and map data of a roadway the autonomous vehicle is traveling along, and identify a plurality of lane segments of the roadway that the autonomous vehicle travels along based on the perception data and the map data. The one or more controllers connect the plurality of lane segments together based on a spatial relationship between the plurality of lane segments to create a lane graph. The one or more controllers classify each of the plurality of lane segments of the lane graph to one or more lane attributes and reassemble the plurality of lane segments to create a representation of the roadway. The one or more controllers recreate a scene of an environment surrounding the autonomous vehicle based on the representation of the lanes that are part of the roadway.
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公开(公告)号:US20240240965A1
公开(公告)日:2024-07-18
申请号:US18561427
申请日:2022-03-07
Applicant: HITACHI ASTEMO, LTD.
Inventor: Takeshi OGATA
IPC: G01C21/00
CPC classification number: G01C21/3822
Abstract: An object of the present invention is to determine a difference on a map by using an exterior environment recognition sensor of a traveling vehicle and host vehicle position estimation information on the basis of existing map information and to enable the difference to be transmitted to a map server. According to the present invention, there is provided an in-vehicle map information correction device that corrects map information, the map information correction device including: a map holding unit (102) that holds the map information; a position estimation unit (104) that estimates position information on a vehicle; at least one of a lane change information acquisition unit (106) that acquires lane change information indicating whether or not the vehicle has changed a lane and a dividing line information acquisition unit (105) that acquires information on a dividing line type of a road on which the vehicle is traveling; and a difference determination unit (103) that generates correction information for correcting the map information based on at least one of the position information, the lane change information, and the information on the dividing line type.
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公开(公告)号:US20240177498A1
公开(公告)日:2024-05-30
申请号:US18492961
申请日:2023-10-24
Applicant: Robert Bosch GmbH
Inventor: Maximilian Pittner , Alexandru Paul Condurache , Joel Janai
CPC classification number: G06V20/588 , B60W60/001 , G01C21/3822 , G01C21/3837 , G06T7/64 , G06T17/30 , G06V10/774 , G06V10/82 , B60W2420/42 , B60W2552/53 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30256
Abstract: A method for training a model to detect lane markings. The method includes: providing images that are specific to a recording by at least one sensor of a vehicle, and in which the lane markings are mapped; providing ground truth data specific to a geometry of the lane markings in the provided images; training the model on the basis of the provided images and ground truth data for a three-dimensional modeling of the geometry of the lane markings based on a parameterization of a continuous curve.
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公开(公告)号:US11993287B2
公开(公告)日:2024-05-28
申请号:US17244519
申请日:2021-04-29
Applicant: GM Cruise Holdings LLC
Inventor: Kyle Vogt , Thomas Busser , Benjamin Dunkin
CPC classification number: B60W60/0023 , G01C21/3469 , G01C21/3822 , G05D1/0217 , G05D1/0291 , G07C5/02 , B60W2552/15
Abstract: The subject disclosure relates to techniques for optimizing autonomous vehicle activities at a fleet level. A process of the disclosed technology can include measuring a first set of cost metrics for a first plurality of autonomous vehicles (AVs) associated with a first vehicle routing version, wherein the first set of cost metrics comprises energy consumption values for two or more of the first plurality of AVs, measuring a second set of cost metrics for a second plurality of AVs associated with a second vehicle routing version, wherein the second set of cost metrics comprises energy consumption values for two or more of the second plurality of AVs, and comparing the first set of cost metrics with the second set of cost metrics to determine routing updates configured to reduce fleetwide energy consumption.
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公开(公告)号:US11993264B2
公开(公告)日:2024-05-28
申请号:US16216405
申请日:2018-12-11
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Kevin Danford
CPC classification number: B60W30/18172 , B60W10/18 , B60W10/20 , B60W40/06 , G01C21/3822 , G01C21/3841 , G01C21/3896 , B60W2520/105
Abstract: Described herein are various technologies that pertain to controlling an AV based upon forward-looking observations of road surface behavior. With more specificity, technologies described herein pertain to controlling maneuvering of an AV in a region of a driving environment based upon an observed acceleration of an object in that region of the driving environment. A plurality of positions of an object in the driving environment are determined from output of sensors mounted on the AV. An acceleration of the object is computed based upon the positions. The AV is subsequently controlled based upon the computed acceleration.
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公开(公告)号:US11990032B2
公开(公告)日:2024-05-21
申请号:US17543229
申请日:2021-12-06
Applicant: HERE Global B.V.
Inventor: Omer Mubarek , Colin Watts-Fitzgerald
CPC classification number: G08G1/0133 , G01C21/3822 , G01C21/3841 , G08G1/0112 , G08G1/0141
Abstract: An approach is provided for verifying reported ramp closures. The approach involves, for example, processing a ramp closure report to determine reported ramp link(s) associated with the ramp closure report. The approach also involves constructing a ramp network comprising the reported ramp link(s) and other ramp link(s) connected to the reported ramp link(s). The approach further involves collecting probe data collected from one or more sensors of one or more vehicles traveling within the ramp network. The approach further involves identifying one or more driving patterns based on one or more vehicle paths determined from the probe data. The approach further involves performing a verification of a closure status of the reported ramp link(s) based on the one or more driving patterns. The approach further involves providing the verification of the closure status as an output.
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