Determining changes in a driving environment based on vehicle behavior

    公开(公告)号:US11636765B2

    公开(公告)日:2023-04-25

    申请号:US17222291

    申请日:2021-04-05

    Applicant: Waymo LLC

    Abstract: A method and apparatus are provided for determining whether a driving environment has changed relative to previously stored information about the driving environment. The apparatus may include an autonomous driving computer system configured to detect one or more vehicles in the driving environment, and determine corresponding trajectories for those detected vehicles. The autonomous driving computer system may then compare the determined trajectories to an expected trajectory of a hypothetical vehicle in the driving environment. Based on the comparison, the autonomous driving computer system may determine whether the driving environment has changed and/or a probability that the driving environment has changed, relative to the previously stored information about the driving environment.

    Plane estimation for contextual awareness

    公开(公告)号:US11551458B1

    公开(公告)日:2023-01-10

    申请号:US16925716

    申请日:2020-07-10

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure relate to classifying the status of objects. For examples, one or more computing devices detect an object from an image of a vehicle's environment. The object is associated with a location. The one or more computing devices receive data corresponding to the surfaces of objects in the vehicle's environment and identifying data within a region around the location of the object. The one or more computing devices also determine whether the data within the region corresponds to a planar surface extending away from an edge of the object. Based on this determination, the one or more computing devices classify the status of the object.

    Detecting and responding to parking behaviors in autonomous vehicles

    公开(公告)号:US11126868B1

    公开(公告)日:2021-09-21

    申请号:US16373214

    申请日:2019-04-02

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure relate controlling autonomous vehicles or vehicles having an autonomous driving mode. More particularly, these vehicles may identify and respond to other vehicles engaged in a parallel parking maneuver by receiving sensor data corresponding to objects in an autonomous vehicle's environment and including location information for the objects over time. An object corresponding to another vehicle in a lane in front of the first vehicle may be identified from the sensor data. A pattern of actions of the other vehicle identified form the sensor data is used to determine that the second vehicle is engaged in a parallel parking maneuver based on a pattern of actions exhibited by the other vehicle identified from the sensor data. The determination is then used to control the autonomous vehicle.

    Stop sign detection and response
    4.
    发明授权

    公开(公告)号:US10955846B1

    公开(公告)日:2021-03-23

    申请号:US16522921

    申请日:2019-07-26

    Applicant: WAYMO LLC

    Abstract: Aspects of the disclosure relate to detecting and responding to stop signs. An object detected in a vehicle's environment having location coordinates may be identified as a stop sign and, it may be determined whether the location coordinates of the identified stop sign correspond to a location of a stop sign in detailed map information. Then, whether the identified stop sign applies to the vehicle may be determined based on the detailed map information or on a number of factors. Then, if the identified stop sign is determined to apply to the vehicle, responses of the vehicle to the stop sign may be determined, and, the vehicle may be controlled based on the determined responses.

    Predicting trajectories of objects based on contextual information

    公开(公告)号:US10899345B1

    公开(公告)日:2021-01-26

    申请号:US16538063

    申请日:2019-08-12

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure relate to detecting and responding to objects in a vehicle's environment. For example, an object may be identified in a vehicle's environment, the object having a heading and location. A set of possible actions for the object may be generated using map information describing the vehicle's environment and the heading and location of the object. A set of possible future trajectories of the object may be generated based on the set of possible actions. A likelihood value of each trajectory of the set of possible future trajectories may be determined based on contextual information including a status of the detected object. A final future trajectory is determined based on the determined likelihood value for each trajectory of the set of possible future trajectories. The vehicle is then maneuvered in order to avoid the final future trajectory and the object.

    Vison-Based Object Detection Using a Polar Grid

    公开(公告)号:US20200233430A1

    公开(公告)日:2020-07-23

    申请号:US16837017

    申请日:2020-04-01

    Applicant: Waymo LLC

    Abstract: A computing device of a first vehicle may receive a first image and a second image of a second vehicle having flashing light signals. The computing device may determine, in the first image and the second image, an image region that bounds the second vehicle such that the image region substantially encompasses the second vehicle. The computing device may determine a polar grid that partitions the image region in the first image and the second image into polar bins, and identify portions of image data exhibiting a change in color and a change in brightness between the first image and the second image. The computing device may determine a type of the flashing light signals and a type of the second vehicle; and accordingly provide instructions to control the first vehicle.

    Detecting and responding to parking behaviors in autonomous vehicles

    公开(公告)号:US10293822B1

    公开(公告)日:2019-05-21

    申请号:US15597379

    申请日:2017-05-17

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure relate controlling autonomous vehicles or vehicles having an autonomous driving mode. More particularly, these vehicles may identify and respond to other vehicles engaged in a parallel parking maneuver by receiving sensor data corresponding to objects in an autonomous vehicle's environment and including location information for the objects over time. An object corresponding to another vehicle in a lane in front of the first vehicle may be identified from the sensor data. A pattern of actions of the other vehicle identified form the sensor data is used to determine that the second vehicle is engaged in a parallel parking maneuver based on a pattern of actions exhibited by the other vehicle identified from the sensor data. The determination is then used to control the autonomous vehicle.

    Vison-based object detection using a polar grid

    公开(公告)号:US10168712B1

    公开(公告)日:2019-01-01

    申请号:US15671316

    申请日:2017-08-08

    Applicant: Waymo LLC

    Abstract: A computing device of a first vehicle may receive a first image and a second image of a second vehicle having flashing light signals. The computing device may determine, in the first image and the second image, an image region that bounds the second vehicle such that the image region substantially encompasses the second vehicle. The computing device may determine a polar grid that partitions the image region in the first image and the second image into polar bins, and identify portions of image data exhibiting a change in color and a change in brightness between the first image and the second image. The computing device may determine a type of the flashing light signals and a type of the second vehicle; and accordingly provide instructions to control the first vehicle.

    Vision-based detection and classification of traffic lights

    公开(公告)号:US10108868B1

    公开(公告)日:2018-10-23

    申请号:US15861840

    申请日:2018-01-04

    Applicant: Waymo LLC

    Abstract: The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes an image processing system. The image processing system receives an image that includes a plurality of image portions. The image processing system also calculates a score for each image portion. The score indicates a level of confidence that a given image portion represents an illuminated component of a traffic light. The image processing system further identifies one or more candidate portions from among the plurality of image portions. Additionally, the image processing system determines that a particular candidate portion represents an illuminated component of a traffic light using a classifier. Further, the image processing system provides instructions to control the autonomous vehicle based on the particular candidate portion representing an illuminated component of a traffic light.

    DETERMINING DRIVABILITY OF OBJECTS FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20180032078A1

    公开(公告)日:2018-02-01

    申请号:US15292818

    申请日:2016-10-13

    Applicant: Waymo LLC

    CPC classification number: G05D1/0214 G05D1/0246 G05D2201/0213 G06K9/00805

    Abstract: Aspects of the disclosure relate to maneuvering a vehicle. As an example, sensor information identifying a set of objects as well as a set of characteristics for each object of the set of objects is received from a perception system of a vehicle. The set of objects is filtered to remove objects corresponding to vehicles, bicycles, and pedestrians. An object within an expected future path of the vehicle is selected from the filtered set of objects. The object is classified as drivable or not drivable based on the set of characteristics. Drivable indicates that the vehicle can drive over the object without causing damage to the vehicle. The vehicle is maneuvered based on the classification such that when the object is classified as drivable, maneuvering the vehicle includes driving the vehicle over the object by not altering the expected future path of the vehicle.

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