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公开(公告)号:US11698268B2
公开(公告)日:2023-07-11
申请号:US17067488
申请日:2020-10-09
Applicant: Uber Technologies, Inc.
Inventor: Ana Lilia Otero Diaz , Hae Jin Lee , Luis Eduardo Cabrera-Cordon , Doyop Kim
CPC classification number: G01C21/3676 , G01C21/3423 , G01C21/3635 , G01C21/3647 , G01C21/3667 , G01C21/3673
Abstract: To more realistically represent the real-world, a street-level view depicts a route path and objects that occlude one or more segments of the route path. Such objects can include guardrails, buildings, or any of a variety of other objects as described herein. The street-level view can be implemented in advance to preview travel, during travel, or in other scenarios. The street-level view presents the route path from a viewpoint that can be a current location of a traveler or an arbitrary location.
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72.
公开(公告)号:US11686584B2
公开(公告)日:2023-06-27
申请号:US16987205
申请日:2020-08-06
Applicant: California Institute of Technology
Inventor: Darmindra D. Arumugam
CPC classification number: G01C21/206 , G01C21/3635 , G05D1/0274
Abstract: Methods and systems for indoor position sensing are disclosed. The described methods and systems are based on magnetoquasistatic field coupling theory and can be implemented in two- and three-dimensional, long-range, through-the-wall applications, where the transmitting devices are implemented outdoor, the receiving device is implemented indoor, or vice versa. Measurement systems implemented to characterize the disclosed methods are also presented for both two- and three-dimensional applications involving indoor position sensing. Orientation sensing methods and systems are also disclosed.
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公开(公告)号:US11674816B2
公开(公告)日:2023-06-13
申请号:US17848666
申请日:2022-06-24
Applicant: Micron Technology, Inc.
Inventor: Bhumika Chhabra , Radhika Viswanathan , Carla L. Christensen , Zahra Hosseinimakarem
CPC classification number: G01C21/3635 , G01C21/18 , G01C21/3667 , G06T19/003
Abstract: Methods and devices and systems related to a computing device for providing a route with augmented reality (AR) are described. An example method can include receiving, at a computing device, a trigger associated with a first location of the computing device, tracking movement of the computing device relative to the first location, and providing a route back to the first location from a second location reached during the tracked movement. The route can include displayed AR.
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公开(公告)号:US11645789B2
公开(公告)日:2023-05-09
申请号:US17709014
申请日:2022-03-30
Applicant: GM Cruise Holdings LLC
Inventor: Charles Matlack , Georgios Georgiou
CPC classification number: G06T11/00 , G01C21/28 , G01C21/3438 , G01C21/3635 , G01C21/3667 , G06F16/29 , G06T2200/24 , G08G1/202
Abstract: The subject disclosure relates to techniques for providing augmented reality (AR) navigation guidance to users of an autonomous vehicle (AV) ride hailing service. In some aspects, a method of the disclosed technology includes steps for transmitting an autonomous vehicle (AV) ride request to an AV dispatch service, receiving a ride confirmation indicating that an AV has been dispatched to a rider associated with the mobile device, detecting arrival of the AV at a pick-up location associated with the rider, and initializing augment reality (AR) guidance on the mobile device, wherein the AR guidance is configured to provide the rider with navigation information to facilitate pick-up by the AV. Systems and computer-readable media are also provided.
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公开(公告)号:US20180335311A1
公开(公告)日:2018-11-22
申请号:US15824526
申请日:2017-11-28
Applicant: Apple Inc.
Inventor: Marcel van Os , Emanuele Vulcano , Bradford A. Moore , Andrew B. Cato
IPC: G01C21/36 , H04W52/02 , G01C21/00 , G06F3/0481 , G06F3/0482 , G06F3/0484 , G06F3/0488 , G09G3/34 , G09G5/00 , H04M1/67 , H04M1/725 , G01C21/34 , G01S19/34
CPC classification number: G01C21/36 , G01C21/00 , G01C21/34 , G01C21/3608 , G01C21/3626 , G01C21/3632 , G01C21/3635 , G01C21/3638 , G01C21/367 , G01S19/34 , G06F1/3209 , G06F1/3218 , G06F1/3265 , G06F3/04815 , G06F3/0482 , G06F3/0484 , G06F3/0488 , G06F3/04883 , G06F2203/04803 , G06F2203/04806 , G06F2203/04808 , G09G3/3413 , G09G5/003 , G09G5/14 , G09G2320/0626 , G09G2330/022 , G09G2354/00 , G09G2360/144 , G09G2380/10 , H04M1/67 , H04M1/72522 , H04M1/72544 , H04M2250/10 , H04M2250/12 , H04M2250/22 , H04W52/0254 , H04W52/0267 , H04W52/0274 , Y02D70/00 , Y02D70/1222 , Y02D70/1224 , Y02D70/1262 , Y02D70/142 , Y02D70/144 , Y02D70/164 , Y02D70/22 , Y02D70/23
Abstract: A method of providing navigation instructions in a locked mode of a device is disclosed. The method, while the display screen of the device is turned off, determines that the device is near a navigation point. The method turns on the display screen and provides navigation instructions. In some embodiments, the method identifies the ambient light level around the device and turns on the display at brightness level determined by the identified ambient light level. The method turns off the display after the navigation point is passed.
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公开(公告)号:US20180188059A1
公开(公告)日:2018-07-05
申请号:US15859194
申请日:2017-12-29
Applicant: DeepMap Inc.
Inventor: Mark Damon Wheeler , Lin Yang , Dongzhen Piao , Yu Zhang
CPC classification number: G01C21/3638 , B60W40/04 , B60W2420/42 , B60W2420/52 , G01C21/32 , G01C21/3635 , G05D1/0088 , G06K9/00798 , G06K9/00818 , G06K9/44 , G06K9/4638 , G06T17/00 , G06T17/05
Abstract: An HD map system represents landmarks on a high definition map for autonomous vehicle navigation, including describing spatial location of lanes of a road and semantic information about each lane, and along with traffic signs and landmarks. The system generates lane lines designating lanes of roads based on, for example, mapping of camera image pixels with high probability of being on lane lines into a three-dimensional space, and locating/connecting center lines of the lane lines. The system builds a large connected network of lane elements and their connections as a lane element graph. The system also represents traffic signs based on camera images and detection and ranging sensor depth maps. These landmarks are used in building a high definition map that allows autonomous vehicles to safely navigate through their environments.
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77.
公开(公告)号:US20180188040A1
公开(公告)日:2018-07-05
申请号:US15857606
申请日:2017-12-28
Applicant: DeepMap Inc.
Inventor: Chen Chen , Greg Coombe , Derik Schroeter
CPC classification number: G06T17/20 , B60W40/06 , B60W2550/14 , G01C11/12 , G01C11/30 , G01C21/005 , G01C21/32 , G01C21/3635 , G01C21/3694 , G01S17/89 , G01S19/42 , G05D1/0088 , G05D1/0246 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06K9/00805 , G06K9/4671 , G06K9/6212 , G06T7/11 , G06T7/246 , G06T7/248 , G06T7/55 , G06T7/593 , G06T7/68 , G06T7/70 , G06T7/73 , G06T7/74 , G06T17/05 , G06T2200/04 , G06T2207/10021 , G06T2207/10028 , G06T2207/20048 , G06T2207/30252 , G06T2207/30256 , G06T2210/56 , G06T2215/12 , G08G1/20
Abstract: A high-definition map system receives sensor data from vehicles travelling along routes and combines the data to generate a high definition map for use in driving vehicles, for example, for guiding autonomous vehicles. A pose graph is built from the collected data, each pose representing location and orientation of a vehicle. The pose graph is optimized to minimize constraints between poses. Points associated with surface are assigned a confidence measure determined using a measure of hardness/softness of the surface. A machine-learning-based result filter detects bad alignment results and prevents them from being entered in the subsequent global pose optimization. The alignment framework is parallelizable for execution using a parallel/distributed architecture. Alignment hot spots are detected for further verification and improvement. The system supports incremental updates, thereby allowing refinements of subgraphs for incrementally improving the high-definition map for keeping it up to date
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公开(公告)号:US20180188027A1
公开(公告)日:2018-07-05
申请号:US15855144
申请日:2017-12-27
Applicant: DeepMap Inc.
Inventor: Ronghua Zhang , Mark Damon Wheeler
CPC classification number: G06T17/20 , B60W40/06 , B60W2550/14 , G01C11/12 , G01C11/30 , G01C21/005 , G01C21/32 , G01C21/3635 , G01C21/3694 , G01S17/89 , G01S19/42 , G05D1/0088 , G05D1/0246 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06K9/00805 , G06K9/4671 , G06K9/6212 , G06T7/11 , G06T7/246 , G06T7/248 , G06T7/55 , G06T7/593 , G06T7/68 , G06T7/70 , G06T7/73 , G06T7/74 , G06T17/05 , G06T2200/04 , G06T2207/10021 , G06T2207/10028 , G06T2207/20048 , G06T2207/30252 , G06T2207/30256 , G06T2210/56 , G06T2215/12 , G08G1/20
Abstract: As an autonomous vehicle moves through a local area, pairwise alignment may be performed to calculate changes in the pose of the vehicle between different points in time. The vehicle comprises an imaging system configured to capture image frames depicting a portion of the surrounding area. Features are identified from the captured image frames, and a 3-D location is determined for each identified feature. The features of different image frames corresponding to different points in time are analyzed to determine a transformation in the pose of the vehicle during the time period between the image frames. The determined poses of the vehicle are used to generate an HD map of the local area.
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79.
公开(公告)号:US20180165544A1
公开(公告)日:2018-06-14
申请号:US15817392
申请日:2017-11-20
Applicant: Bayerische Motoren Werke Aktiengesellschaft
Inventor: Carsten ISERT , Wanli JIANG , Qianshan LI
CPC classification number: G06K9/6251 , G01C21/3635 , G05D1/0231 , G06K9/00664 , G06T17/10
Abstract: A method and an apparatus are provided for representing a map element and for locating a vehicle/robot based thereupon. The method for representing a map element includes: generating a Gaussian Mixture Model for the map element; generating a signature for identifying the map element, wherein the signature includes properties of the map element; and generating a Signatured Gaussian Mixture Model for representing the map element, wherein the Signatured Gaussian Mixture Model includes the Gaussian Mixture Model and the signature.
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公开(公告)号:US09791289B2
公开(公告)日:2017-10-17
申请号:US14574604
申请日:2014-12-18
Applicant: Bayerische Motoren Werke Aktiengesellschaft
Inventor: Axel Schwab , Christof Schulze
IPC: G01C21/36
CPC classification number: G01C21/365 , G01C21/3635 , G01C21/3697 , Y02T10/84
Abstract: Predefined route data for a driving route situated in front of the vehicle in the driving direction are provided. Further, at least one predefined predictive operating variable for the vehicle is provided. A three-dimensional model for a predefined environment of the vehicle is determined as a function of the route data. A graphic element is determined as a function of the three-dimensional model and of the at least one predictive operating variable. A head-up display of the vehicle has a predefined display field. The graphic element is displayed in the predefined display field. The graphic element is determined and displayed such that the graphic element is perceived by a viewer of the display field from a predefined viewing position with direct reference to the real environment of the vehicle.
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