DETECTING AND RESPONDING TO PROCESSIONS FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20250147509A1

    公开(公告)日:2025-05-08

    申请号:US19011765

    申请日:2025-01-07

    Applicant: Waymo LLC

    Abstract: The technology relates to detecting and responding to processions. For instance, sensor data identifying two or more objects in an environment of a vehicle may be received. The two or more objects may be determined to be disobeying a predetermined rule in a same way. Based on the determination that the two or more objects are disobeying a predetermined rule, that the two or more objects are involved in a procession may be determined. The vehicle may then be controlled autonomously in order to respond to the procession based on the determination that the two or more objects are involved in a procession.

    DETECTING AND RESPONDING TO SIRENS
    52.
    发明申请

    公开(公告)号:US20250095485A1

    公开(公告)日:2025-03-20

    申请号:US18966262

    申请日:2024-12-03

    Applicant: Waymo LLC

    Abstract: The technology relates to detecting and responding to emergency vehicles. This may include using a plurality of microphones to detect a siren noise corresponding to an emergency vehicle and to estimate a bearing of the emergency vehicle. This estimated bearing is compared to map information to identify a portion of roadway on which the emergency vehicle is traveling. In addition, information identifying a set of objects in the vehicle's environment as well as characteristics of those objects is received from a perception system is used to determine whether one of the set of objects corresponds to the emergency vehicle. How to respond to the emergency vehicle is determined based on the estimated bearing and identified road segments and the determination of whether one of the set of objects corresponds to the emergency vehicle. This determined response is then used to control the vehicle in an autonomous driving mode.

    Detecting and responding to sirens
    53.
    发明授权

    公开(公告)号:US12223831B2

    公开(公告)日:2025-02-11

    申请号:US18508354

    申请日:2023-11-14

    Applicant: Waymo LLC

    Abstract: The technology relates to detecting and responding to emergency vehicles. This may include using a plurality of microphones to detect a siren noise corresponding to an emergency vehicle and to estimate a bearing of the emergency vehicle. This estimated bearing is compared to map information to identify a portion of roadway on which the emergency vehicle is traveling. In addition, information identifying a set of objects in the vehicle's environment as well as characteristics of those objects is received from a perception system is used to determine whether one of the set of objects corresponds to the emergency vehicle. How to respond to the emergency vehicle is determined based on the estimated bearing and identified road segments and the determination of whether one of the set of objects corresponds to the emergency vehicle. This determined response is then used to control the vehicle in an autonomous driving mode.

    Autonomous vehicle system configured to respond to temporary speed limit signs

    公开(公告)号:US11594044B2

    公开(公告)日:2023-02-28

    申请号:US16897359

    申请日:2020-06-10

    Applicant: Waymo LLC

    Abstract: Aspects of the disclosure provide for a method for identifying speed limit signs and controlling an autonomous vehicle in response to detected speed limit signs. The autonomous vehicle's computing devices identifies a speed limit sign in a vehicle's environment and a location and orientation corresponding to the speed limit sign. Then, the and orientation location of the speed limit sign is determined to not correspond to a pre-stored location and a pre-stored orientation of a speed limit sign that is pre-stored in map information. An effect zone of the speed limit sign is determined based on the location and orientation of the speed limit sign and characteristics of surrounding areas or other detected object before or after the speed limit sign. The autonomous vehicle's computing devices determines a response of the vehicle based on the determined effect zone, and controls the autonomous vehicle based on the determined response.

    AUTONOMOUS DRIVING WITH SURFEL MAPS

    公开(公告)号:US20220063662A1

    公开(公告)日:2022-03-03

    申请号:US17003827

    申请日:2020-08-26

    Applicant: Waymo LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for autonomous driving with surfel maps. In some implementations, a three-dimensional representation of a real-world environment is obtained. Each of the surfels can correspond to a respective point of plurality of points in a three-dimensional space of the real-world environment. Input sensor data is received from multiple sensors installed on the autonomous vehicle. A pedestrian is detected from the input sensor data. A determination is made that the pedestrian is located behind a barrier. A driving plan is updated based on determining that the pedestrian is located behind a barrier.

    Detecting and responding to sirens
    59.
    发明授权

    公开(公告)号:US11164454B2

    公开(公告)日:2021-11-02

    申请号:US16843928

    申请日:2020-04-09

    Applicant: Waymo LLC

    Abstract: The technology relates to detecting and responding to emergency vehicles. This may include using a plurality of microphones to detect a siren noise corresponding to an emergency vehicle and to estimate a bearing of the emergency vehicle. This estimated bearing is compared to map information to identify a portion of roadway on which the emergency vehicle is traveling. In addition, information identifying a set of objects in the vehicle's environment as well as characteristics of those objects is received from a perception system is used to determine whether one of the set of objects corresponds to the emergency vehicle. How to respond to the emergency vehicle is determined based on the estimated bearing and identified road segments and the determination of whether one of the set of objects corresponds to the emergency vehicle. This determined response is then used to control the vehicle in an autonomous driving mode.

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