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公开(公告)号：US12130152B2
公开(公告)日：2024-10-29
申请号：US17535236
申请日：2021-11-24
发明人： Soumya Gupta , John Z. Pang , Andrey Konchenko , Erik Burton , Mugdha Bhusari , Jose R. Celaya Galvan , Ivan Joel Alaniz , Crispin Chatar
CPC分类号： G01C21/3697 , G01C21/32 , G01C21/3407 , G01C21/3446 , G01C21/3852
摘要： A method including generating, by a navigation service, a route for navigating from a route origin to a route destination using a private roads repository. The method includes identifying a ghost origin and a ghost destination of a ghost road along the route. The method includes sending, using an application programming interface of a base roads engine, a first request for a route from the ghost origin to the ghost destination. The method includes receiving, from the base roads engine in response to the first request, a replacement section from the ghost origin to the ghost destination. The method includes replacing, in the route, the ghost road with the replacement section to create an updated route including segments. The method includes generating an estimated travel time from the route origin to the route destination over the segments of the updated route. The method includes presenting the estimated travel time.
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公开(公告)号：US20240353231A1
公开(公告)日：2024-10-24
申请号：US18304975
申请日：2023-04-21
申请人： Zoox, Inc.
摘要： A transformer-based machine-learned model may use cross-attention between map data and various sensor data and/or perception data, such as an object detection, to augment perception tasks. In particular, the transformer-based machine-learned model may comprise two or more encoders, one of which may determine a first embedding from map data and a second encoder that may determine a second embedding from sensor data and/or perception data. An encoder may determine a score that may be used to determine various outputs that may improve partially occluded object detection, ground plane classification, static object detection, and suppress false positive object detections.
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公开(公告)号：US12117529B1
公开(公告)日：2024-10-15
申请号：US17846874
申请日：2022-06-22
申请人： Zoox, Inc.
IPC分类号： G01S17/89 , G01C21/32 , G01S7/497 , G01S17/931 , G05D1/00
CPC分类号： G01S17/89 , G01C21/32 , G01S7/497 , G01S17/931 , G05D1/0274
摘要： Techniques for determining errors or drifts between maps used for updating maps and/or controlling a system which uses the map. In some examples, a first, global, map may be received or determined. Sensor data may then be used to localize a system with respect to the first map and to generate a first trajectory relative to the first map. The sensor data may be used to create a second map and a second trajectory for navigating the system relative to the second map. Differences between the first and second trajectories (or portions thereof), when compared in a common reference frame, may be used as an indication of drift between various processes or errors in the maps and, subsequently, be used for updating the first map and/or controlling the system.
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公开(公告)号：US20240257445A1
公开(公告)日：2024-08-01
申请号：US18633446
申请日：2024-04-11
申请人： Fyusion, Inc.
发明人： Stefan Johannes Josef HOLZER , Abhishek KAR , Matteo MUNARO , Pavel HANCHAR , Radu Bogdan RUSU , Santi ARANO
IPC分类号： G06T15/20 , G01C21/32 , G06F9/451 , G06F16/29 , G06F17/18 , G06F30/15 , G06N3/02 , G06Q30/02 , G06T7/00 , G06T7/593 , G06T7/70 , G06T15/10 , G06T17/00 , G06T19/00 , H04N13/00 , H04N13/243 , H04N13/271 , H04N23/63
CPC分类号： G06T15/205 , G01C21/32 , G06F9/453 , G06F16/29 , G06F17/18 , G06F30/15 , G06N3/02 , G06Q30/0278 , G06T7/0002 , G06T7/0004 , G06T7/593 , G06T7/70 , G06T15/10 , G06T17/00 , G06T19/003 , G06T19/006 , H04N13/243 , H04N13/271 , H04N23/633 , G06T2200/08 , G06T2200/24 , G06T2207/10016 , G06T2207/10028 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20224 , G06T2207/30108 , G06T2207/30244 , G06T2207/30248 , H04N2013/0081
摘要： A plurality of images may be analyzed to determine an object model. The object model may have a plurality of components, and each of the images may correspond with one or more of the components. Component condition information may be determined for one or more of the components based on the images. The component condition information may indicate damage incurred by the object portion corresponding with the component.
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公开(公告)号：US12013245B2
公开(公告)日：2024-06-18
申请号：US17067209
申请日：2020-10-09
申请人： Deere & Company
IPC分类号： G01C21/32 , A01B79/00 , G05D1/00 , G05D1/02 , H04W4/029 , A01B69/00 , A01D41/127 , G01C21/00
CPC分类号： G01C21/32 , A01B79/005 , G05D1/0212 , H04W4/029
摘要： One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.
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公开(公告)号：US20240183682A1
公开(公告)日：2024-06-06
申请号：US18075925
申请日：2022-12-06
申请人： HERE Global B.V.
发明人： Leon STENNETH , Bruce BERNHARDT , Advait Mohan RAUT , Jingwei XU , Weimin HUANG , Yuxin GUAN
CPC分类号： G01C21/3815 , G01C21/32 , G01C21/3837 , G06N20/00
摘要： The disclosure provides a system, a method, and a computer program product for updating map data. The system, for example, obtains sensor data from one or more user equipment. The sensor data is associated with a road object. Further, the system, determines a first location of a road observation sight and a second location of the road object based on a timestamp associated with the first location. Further, a distance associated with the second location of the road object and a center point of a link, is calculated. The link is a map matched link associated with the second location. Further, the system updates the map data based on the calculated distance.
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公开(公告)号：US20240167844A1
公开(公告)日：2024-05-23
申请号：US18527317
申请日：2023-12-03
发明人： Tinosch Kolagheichi-Ganjineh , Philipp Holzschneider , Dimitri Schachmann , Sergej Mann , Sebastian Ihlefeld , Michael Hofmann , Olaf Booij , Nicolau Leal Werneck
IPC分类号： G01C21/00 , G01C21/32 , G06F16/29 , G06F16/587 , G06T7/11 , G06T7/73 , G06V20/56 , G06V20/58
CPC分类号： G01C21/3848 , G01C21/32 , G01C21/3811 , G06F16/29 , G06F16/587 , G06T7/11 , G06T7/74 , G06V20/582 , G06V20/588 , G06T2207/10016 , G06T2207/30244 , G06T2207/30256
摘要： A method and system for determining a geographical location and orientation of a vehicle travelling through a road network is disclosed. The method comprises obtaining, from one or more cameras associated with the vehicle travelling through the road network, a sequence of images reflecting the environment of the road network on which the vehicle is travelling, wherein each of the images has an associated camera location at which the image was recorded. A local map representation representing an area of the road network on which the vehicle is travelling is then generated using at least some of the obtained images and the associated camera locations. The generated local map representation is compared with a section of a reference map, the reference map section covering the area of the road network on which the vehicle is travelling, and the geographical location and orientation of the vehicle within the road network is determined based on the comparison. Methods and systems for generating and/or updating an electronic map using data obtained by a vehicle travelling through a road network represented by the map are also disclosed.
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公开(公告)号：US20240161331A1
公开(公告)日：2024-05-16
申请号：US18423640
申请日：2024-01-26
发明人： Gideon Stein
IPC分类号： G06T7/70 , G01C21/00 , G01C21/16 , G01C21/32 , G01C21/36 , G06V10/772 , G06V20/56 , G06V20/58 , G08G1/16
CPC分类号： G06T7/70 , G01C21/005 , G01C21/16 , G01C21/32 , G01C21/3658 , G01C21/3837 , G01C21/3844 , G06V10/772 , G06V20/584 , G06V20/588 , G08G1/167 , G06T2207/30244 , G06T2207/30261
摘要： Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive images captured over a time period; analyze images to identify a target vehicle; receive map information associated including a plurality of target trajectories; determine, based on a size of a representation of the target vehicle in the plurality of images, first and second estimated positions of the target vehicle within the time period, determine, based on the first and second estimated positions, a trajectory of the target vehicle over the time period; compare the determined trajectory to the plurality of target trajectories to identify a target trajectory traversed by the target vehicle; determine, based on the identified target trajectory, a position of the target vehicle; and determine a navigational action for the host vehicle based on the determined position.
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9.发明授权公开(公告)号：US11982752B2
公开(公告)日：2024-05-14
申请号：US17282901
申请日：2020-04-29
申请人： MOBILTECH
发明人： Jae Seung Kim , Dong Hyun Suh
摘要： Proposed is a GPS error correction method performed through comparison of three-dimensional HD-maps in a duplicate area, and more particularly, a method that can calculate a correction value for a GPS error by comparing three-dimensional HD-maps of a corresponding duplicate area when the duplicate area is generated on a GPS route in the process of acquiring raw data to be used in a HD-map for autonomous driving. Particularly, in the method, an accurate correction value for the GPS error can be calculated by comparing three-dimensional point cloud data acquired by utilizing basically installed LiDAR, an Inertial Measurement Unit (IMU) and the like, without using expensive equipment such as a plurality of high-precision GPS receivers, stereo cameras or the like.
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公开(公告)号：US11976933B2
公开(公告)日：2024-05-07
申请号：US17617984
申请日：2019-06-11
发明人： Hirofumi Abe , Keihiro Ochiai , Hitoshi Seshimo
CPC分类号： G01C21/367 , G01C21/32 , G01C21/362 , G01S19/393 , G01S19/40 , G01S19/42 , H04W4/024 , H04W4/025
摘要： A link combination extraction unit (24) acquires all the combination of link candidates from among link candidates having an angle with respect to a movement direction of a pedestrian equal to or smaller than a threshold value among link candidates for n walking route networks. The link combination extraction unit (24) acquires all the combinations of link candidates that do not intersect with each other among the acquired combinations of link candidates. The link combination extraction unit (24) acquires all the combinations of link candidates that do not connect to each other among the acquired combinations of link candidates. The link combination extraction unit (24) acquires all the combinations of link candidates that are not on the same straight line among the acquired combinations of link candidates. A candidate determination unit (26) acquires a combination of link candidates closest to position information of a pedestrian when there are a plurality of acquired link candidates.
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