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公开(公告)号：US20190049970A1
公开(公告)日：2019-02-14
申请号：US16122455
申请日：2018-09-05
Applicant: Uber Technologies, Inc.
Inventor： Nemanja Djuric , Vladan Radosavljevic , Thi Duong Nguyen , Tsung-Han Lin , Jeff Schneider , Henggang Cui , Fang-Chieh Chou , Tzu-Kuo Huang
Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a plurality of predicted trajectories of the object.
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公开(公告)号：US20190049987A1
公开(公告)日：2019-02-14
申请号：US15783005
申请日：2017-10-13
Applicant: Uber Technologies, Inc.
Inventor： Nemanja Djuric , Vladan Radosavljevic , Thi Duong Nguyen , Tsung-Han Lin , Jeff Schneider
Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a predicted trajectory of the object.
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公开(公告)号：US20200272160A1
公开(公告)日：2020-08-27
申请号：US16506522
申请日：2019-07-09
Applicant: Uber Technologies, Inc.
Inventor： Nemanja Djuric , Henggang Cui , Thi Duong Nguyen , Fang-Chieh Chou , Tsung-Han Lin , Jeff Schneider , David McAllister Bradley
Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with the motion prediction and operation of a device including a vehicle are provided. For example, a vehicle computing system can access state data including information associated with locations and characteristics of objects over a plurality of time intervals. Trajectories of the objects at subsequent time intervals following the plurality of time intervals can be determined based on the state data and a machine-learned tracking and kinematics model. The trajectories of the objects can include predicted locations of the objects at subsequent time intervals that follow the plurality of time intervals. Further, the predicted locations of the objects can be based on physical constraints of the objects. Furthermore, indications, which can include visual indications, can be generated based on the predicted locations of the objects at the subsequent time intervals.
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公开(公告)号：US10024673B1
公开(公告)日：2018-07-17
申请号：US15164390
申请日：2016-05-25
Applicant: Uber Technologies, Inc.
Inventor： Xingwen Zhang , Thi Duong Nguyen , Miao Yu
Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.
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公开(公告)号：US10215575B2
公开(公告)日：2019-02-26
申请号：US15968665
申请日：2018-05-01
Applicant: Uber Technologies, Inc.
Inventor： Xingwen Zhang , Thi Duong Nguyen , Miao Yu
Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.
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Patent Agency Ranking
公开(公告)号：US09939276B2
公开(公告)日：2018-04-10
申请号：US15009552
申请日：2016-01-28
Applicant: Uber Technologies, Inc.
Inventor： Sophia Cui , Thi Duong Nguyen , Theodore Russell Sumers , Miao Yu , Xingwen Zhang
CPC classification number: G01C21/34 , G01C21/32 , G01S19/39 , G01S19/40 , G01S19/42 , G01S19/52 , G07B15/02
Abstract: A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.
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公开(公告)号：US10415984B2
公开(公告)日：2019-09-17
申请号：US15895988
申请日：2018-02-13
Applicant: Uber Technologies, Inc.
Inventor： Xiao Cai , Shijing Yao , Thi Duong Nguyen
Abstract: A transport service system determines the accuracy of a map matched trajectory using a forward probability algorithm. A transport vehicle on a trip relays location data to the system. The system uses a map of the corresponding area and the location data to calculate an emission probability, the likelihood of a candidate road being associated with a location data point, and a transition probability, the likelihood of a second state occurring after a first state. The joint probability of the emission and transition probabilities is used to determine a total number of zero forward probability occurrences and an average forward probability associated with the trip. These metrics are used to measure the accuracy of the map matching algorithm for the trip.
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公开(公告)号：US20190204096A1
公开(公告)日：2019-07-04
申请号：US15895988
申请日：2018-02-13
Applicant: Uber Technologies, Inc.
Inventor： Xiao Cai , Shijing Yao , Thi Duong Nguyen
CPC classification number: G01C21/3446 , G01C21/32
Abstract: A transport service system determines the accuracy of a map matched trajectory using a forward probability algorithm. A transport vehicle on a trip relays location data to the system. The system uses a map of the corresponding area and the location data to calculate an emission probability, the likelihood of a candidate road being associated with a location data point, and a transition probability, the likelihood of a second state occurring after a first state. The joint probability of the emission and transition probabilities is used to determine a total number of zero forward probability occurrences and an average forward probability associated with the trip. These metrics are used to measure the accuracy of the map matching algorithm for the trip.
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公开(公告)号：US20180245934A1
公开(公告)日：2018-08-30
申请号：US15968665
申请日：2018-05-01
Applicant: Uber Technologies, Inc.
Inventor： Xingwen Zhang , Thi Duong Nguyen , Miao Yu
CPC classification number: G01C21/3446 , G01S19/42 , G06Q50/30 , G06Q2240/00
Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.
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公开(公告)号：US20180238691A1
公开(公告)日：2018-08-23
申请号：US15912224
申请日：2018-03-05
Applicant: Uber Technologies, Inc.
Inventor： Sophia Cui , Thi Duong Nguyen , Theodore Russell Sumers , Miao Yu , Xingwen Zhang
CPC classification number: G01C21/34 , G01C21/32 , G01S19/39 , G01S19/40 , G01S19/42 , G01S19/52 , G07B15/02 , G07C5/008
Abstract: A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.
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