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公开(公告)号：US12264933B2
公开(公告)日：2025-04-01
申请号：US18474505
申请日：2023-09-26
Applicant: Lyft, Inc.
Inventor： Robert Earl Rasmusson , Taggart Matthiesen , Craig Dehner , Linda Dong , Frank Taehyun Yoo , Karina van Schaardenburg , John Tighe , Matt Vitelli , Jisi Guo , Eli Guerron
Abstract: In one embodiment, a method includes determining a plurality of available locations for a vehicle to pick up or drop off a user in an area based on sensor data that is captured by the vehicle and is associated with physical characteristics of the area. The method includes calculating a viability value for each of the plurality of available locations. The viability value is calculated based on the physical characteristics of the area as determined from the sensor data. The method includes ranking the plurality of available locations according to the viability values of the plurality of available locations. An available location with a higher viability value is ranked above an available location with a lower viability value. The method includes sending instructions to present, on a computing device, one or more selectable locations of the plurality of available locations based on the ranking.
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12.发明授权公开(公告)号：US12235121B2
公开(公告)日：2025-02-25
申请号：US18474507
申请日：2023-09-26
Applicant: Lyft, Inc.
Inventor： Robert Earl Rasmusson , Taggart Matthiesen , Craig Dehner , Linda Dong , Frank Taehyun Yoo , Karina van Schaardenburg , John Tighe , Matt Vitelli , Jisi Guo , Eli Guerron
Abstract: In one embodiment, a method includes receiving sensor data associated with an object external to a vehicle. The sensor data includes a sequence of data packets. Each data packet corresponds to a time frame in a sequence of time frames. The method includes determining a classification of the object based at least on the sensor data, determining that a particular data packet corresponding to a particular time frame in the sequence of time frames is corrupt or missing, generating a replacement data packet based on one or more data packets that correspond to one or more time frames adjacent to the particular time frame, generating a sequence of visual representations of the object corresponding to the sequence of time frames. At least one visual representation in the sequence of visual representations corresponding to the particular time frame is generated based on the replacement data packet.
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公开(公告)号：US20240005576A1
公开(公告)日：2024-01-04
申请号：US18347476
申请日：2023-07-05
Applicant: Lyft, Inc.
Inventor： Han Han Xue , Jisi Guo , Katherine Marisa Dill , Johan Ulrich Lewin Jessen , Audrey Liu , Oleg Vadim Panichev , Robert Earl Rasmusson
CPC classification number: G06T11/60 , G06T5/20 , G06T2200/24 , G05D1/0088 , B60R2300/60 , G06T5/002
Abstract: The disclosed computer-implemented method may include displaying vehicle environment awareness. In some embodiments, a visualization system may display an abstract representation of a vehicle's physical environment via a mobile device and/or a device embedded in the vehicle. For example, the visualization may use a voxel grid to represent the environment and may alter characteristics of shapes in the grid to increase their visual prominence when the sensors of the vehicle detect that an object is occupying the space represented by the shapes. In some embodiments, the visualization may gradually increase and reduce the visual prominence of shapes in the grid to create a soothing wave effect. Various other methods, systems, and computer-readable media are also disclosed.
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14.发明申请公开(公告)号：US20220004779A1
公开(公告)日：2022-01-06
申请号：US17390672
申请日：2021-07-30
Applicant: Lyft, Inc.
Inventor： Robert Earl Rasmusson , Taggart Matthiesen , Craig Dehner , Linda Dong , Frank Taehyun Yoo , Karina van Schaardenburg , John Tighe , Matt Vitelli , Jisi Guo , Eli Guerron
Abstract: In one embodiment, a method includes receiving sensor data corresponding to an environment external of a vehicle. The sensor data include data points. The method includes determining one or more subsets of the data points. The method includes comparing the one or more subsets of the data points to one or more predetermined data patterns. Each of the one or more predetermined data patterns corresponds to an object classification. The method includes computing a confidence score for each subset of data points of the one or more subsets of the data points as corresponding to each of the one or more predetermined data patterns based on the comparison. The method includes generating a classification for an object in the environment external of the vehicle based on the confidence score.
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公开(公告)号：US11010615B2
公开(公告)日：2021-05-18
申请号：US15812636
申请日：2017-11-14
Applicant: Lyft, Inc.
Inventor： Robert Earl Rasmusson, Jr. , Taggart Matthiesen , Craig Dehner , Linda Dong , Frank Taehyun Yoo , Karina van Schaardenburg , John Tighe , Matt Vitelli , Jisi Guo , Eli Guerron
Abstract: In one embodiment, a method includes receiving autonomous-vehicle sensor data from a sensor array of an autonomous vehicle. The autonomous-vehicle sensor data indicates an object in an external environment of the autonomous vehicle. The method further includes determining a confidence score for a classification of the object. The method further includes determining an object graphic with a level of detail to visually represent the object. The level of detail of the object graphic is based on the confidence score. The method further includes providing for display a visual representation the object graphic.
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Patent Agency Ranking
公开(公告)号：USD916896S1
公开(公告)日：2021-04-20
申请号：US29690271
申请日：2019-05-07
Applicant: Lyft, Inc.
Designer： David Ikuye , Henrique Penha , Frank Yoo , Jisi Guo , Marc Haumann
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公开(公告)号：US10360714B1
公开(公告)日：2019-07-23
申请号：US16132327
申请日：2018-09-14
Applicant: Lyft, Inc.
Inventor： Han Han Xue , Jisi Guo , Katherine Marisa Dill , Johan Ulrich Lewin Jessen , Audrey Liu , Oleg Vadim Panichev , Robert Earl Rasmusson, Jr.
Abstract: The disclosed computer-implemented method may include displaying vehicle environment awareness. In some embodiments, a visualization system may display an abstract representation of a vehicle's physical environment via a mobile device and/or a device embedded in the vehicle. For example, the visualization may use a voxel grid to represent the environment and may alter characteristics of shapes in the grid to increase their visual prominence when the sensors of the vehicle detect that an object is occupying the space represented by the shapes. In some embodiments, the visualization may gradually increase and reduce the visual prominence of shapes in the grid to create a soothing wave effect. Various other methods, systems, and computer-readable media are also disclosed.
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公开(公告)号：USD847837S1
公开(公告)日：2019-05-07
申请号：US29576699
申请日：2016-09-06
Applicant: Lyft, Inc.
Designer： David Ikuye , Henrique Penha , Frank Yoo , Jisi Guo , Marc Haumann
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公开(公告)号：USD842331S1
公开(公告)日：2019-03-05
申请号：US29584429
申请日：2016-11-14
Applicant: Lyft, Inc.
Designer： Jisi Guo , Eli Guerron , Craig Dehner , Frank Yoo , Karina van Schaardenburg , Henrique Penha
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20.发明申请公开(公告)号：US20180136656A1
公开(公告)日：2018-05-17
申请号：US15812749
申请日：2017-11-14
Applicant: Lyft, Inc.
Inventor： Robert Earl Rasmusson, JR. , Taggart Matthiesen , Craig Dehner , Linda Dong , Frank Taehyun Yoo , Karina van Schaardenburg , John Tighe , Matt Vitelli , Jisi Guo , Eli Guerron
Abstract: In one embodiment, a method includes identifying, based on map data, an area for pick-up or drop-off of a user by an autonomous vehicle. The method also includes determining, based on autonomous-vehicle sensor data that represents an external environment of the autonomous vehicle, one or more potential pick-up or drop-off locations within the area. The method also includes calculating, based at least in part on the autonomous-vehicle sensor data and historical data a viability score for each of the potential pick-up or drop-off locations. The historical data includes past pick-up or drop-off locations for one or more past users. The method also includes providing for display a visual representation of at least a portion of the area for pick-up or drop-off that indicates at least one of the one or more potential pick-up or drop-off locations.
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