DETECTING POSITIONING OF A SENSOR SYSTEM ASSOCIATED WITH A VEHICLE

    公开(公告)号:US20210405641A1

    公开(公告)日:2021-12-30

    申请号:US16916008

    申请日:2020-06-29

    Applicant: Lyft, Inc.

    Abstract: Examples disclosed herein may involve a computing system that is operable to (i) identify, within a given period of operation of a vehicle having an associated sensor system for capturing sensor data, one or more times when the vehicle was driving in a lane having substantially-straight lane geometry, (ii) for each identified time, determine a respective measure of a lateral offset between the vehicle's associated sensor system and a lateral reference point of the vehicle, and (iii) based on the respective measure of the lateral offset that is determined for each of the one or more identified times, determine the lateral offset between the vehicle's associated sensor system and the lateral reference point of the vehicle.

    Evaluating driving control systems for elegant driving

    公开(公告)号:US11718305B2

    公开(公告)日:2023-08-08

    申请号:US16911194

    申请日:2020-06-24

    Applicant: Lyft, Inc.

    CPC classification number: B60W40/09 B60W40/10 G06Q10/0639

    Abstract: In particular embodiments, a computing system may determine a measured driving characteristic of a driving control system based on observations of vehicles driven by the driving control system. The system may determine a difference between the measured driving characteristic and a target driving characteristic, which is based on objectivations of one or more manually controlled vehicles. The system may determine an evaluation objective for the driving control system. The system may determine a weight function for the evaluation objective. The system may determine a score for the driving control system with respect to the evaluation objective by weighting the difference between the measured driving characteristic and the target driving characteristic using the weight function. The system may apply, based on the score, an adjustment to the driving control system to reduce a difference between a subsequently measured driving characteristic of the driving control system and the target driving characteristic.

    GEOLOCALIZED MODELS FOR PERCEPTION, PREDICTION, OR PLANNING

    公开(公告)号:US20210191407A1

    公开(公告)日:2021-06-24

    申请号:US16721604

    申请日:2019-12-19

    Applicant: Lyft, Inc.

    Abstract: In one embodiment, a method includes, by a computing system associated with a vehicle, determining a current location of the vehicle in a first region, identifying one or more first sets of model parameters associated with the first region and one or more second sets of model parameters associated with a second region, generating, using one or more machine-learning models based on the first sets of model parameters, one or more first inferences based on first sensor data captured by the vehicle, switching the configurations of the models from the first sets of model parameters to the second sets of model parameters, generating, using the models having configurations based on the second sets of model parameters, one or more second inferences based on second sensor data generated by the sensors of the vehicle in the second region, and causing the vehicle to perform one or more operations based on the second inferences.

    EVALUATING DRIVING CONTROL SYSTEMS FOR ELEGANT DRIVING

    公开(公告)号:US20210086779A1

    公开(公告)日:2021-03-25

    申请号:US16911194

    申请日:2020-06-24

    Applicant: Lyft, Inc.

    Abstract: In particular embodiments, a computing system may determine a measured driving characteristic of a driving control system based on observations of vehicles driven by the driving control system. The system may determine a difference between the measured driving characteristic and a target driving characteristic, which is based on objectivations of one or more manually controlled vehicles. The system may determine an evaluation objective for the driving control system. The system may determine a weight function for the evaluation objective. The system may determine a score for the driving control system with respect to the evaluation objective by weighting the difference between the measured driving characteristic and the target driving characteristic using the weight function. The system may apply, based on the score, an adjustment to the driving control system to reduce a difference between a subsequently measured driving characteristic of the driving control system and the target driving characteristic.

    Evaluating driving control systems for elegant driving

    公开(公告)号:US10696306B1

    公开(公告)日:2020-06-30

    申请号:US16583109

    申请日:2019-09-25

    Applicant: Lyft, Inc.

    Abstract: In one embodiment, a method includes accessing a first set of driving metrics of a vehicle navigating a segment using a driving control system; computing, based on the first set of driving metrics, a driving characteristic for the vehicle. The driving characteristic of the vehicle being represented by the first set of driving metrics. The method also includes comparing the driving characteristic of the vehicle to a driving characteristic of a number of manually controlled vehicles represented by a second set of driving metrics collected while navigating the segment; and computing a score indicating an elegance of the driving control system in navigating the segment based on the comparison of the driving characteristic of the vehicle to the driving characteristic of the number of manually controlled vehicles.

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