COLLISION MITIGATED BRAKING FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20170158175A1

    公开(公告)日:2017-06-08

    申请号:US14959067

    申请日:2015-12-04

    Applicant: WAYMO LLC

    Abstract: Aspects of the disclosure involve a collision mitigated braking system employed in vehicles operating in a self-driving (autonomous) mode. Collision mitigated braking provides redundancy to the vehicle's main driving system in emergency situations. The collision mitigated braking system is configured to cause the vehicle to come to a stop when an imminent collision is perceived and the main driving system has not initiated a braking maneuver. A perception component employs information received from vehicle sensors, analyzing the sensor data to identify nearby objects of interest that are determined to be in the vehicle's path or that could otherwise collide with the vehicle. A control component evaluates the objects of interest to determine whether immediate braking is required. If this is the case and the main driving system has not begun to brake, the control component causes the vehicle to perform immediate braking to avoid a possible collision.

    Robust Method for Detecting Traffic Signals and Their Associated States

    公开(公告)号:US20250026352A1

    公开(公告)日:2025-01-23

    申请号:US18905849

    申请日:2024-10-03

    Applicant: Waymo LLC

    Abstract: Methods and devices for detecting traffic signals and their associated states are disclosed. In one embodiment, an example method includes a scanning a target area using one or more sensors of a vehicle to obtain target area information. The vehicle may be configured to operate in an autonomous mode, and the target area may be a type of area where traffic signals are typically located. The method may also include detecting a traffic signal in the target area information, determining a location of the traffic signal, and determining a state of the traffic signal. Also, a confidence in the traffic signal may be determined. For example, the location of the traffic signal may be compared to known locations of traffic signals. Based on the state of the traffic signal and the confidence in the traffic signal, the vehicle may be controlled in the autonomous mode.

    Reporting road event data and sharing with other vehicles

    公开(公告)号:US12165515B2

    公开(公告)日:2024-12-10

    申请号:US18364808

    申请日:2023-08-03

    Applicant: Waymo LLC

    Abstract: Example systems and methods allow for reporting and sharing of information reports relating to driving conditions within a fleet of autonomous vehicles. One example method includes receiving information reports relating to driving conditions from a plurality of autonomous vehicles within a fleet of autonomous vehicles. The method may also include receiving sensor data from a plurality of autonomous vehicles within the fleet of autonomous vehicles. The method may further include validating some of the information reports based at least in part on the sensor data. The method may additionally include combining validated information reports into a driving information map. The method may also include periodically filtering the driving information map to remove outdated information reports. The method may further include providing portions of the driving information map to autonomous vehicles within the fleet of autonomous vehicles.

    Positioning vehicles to improve quality of observations at intersections

    公开(公告)号:US12153432B2

    公开(公告)日:2024-11-26

    申请号:US17654259

    申请日:2022-03-10

    Applicant: Waymo LLC

    Abstract: Disclosed herein are methods and apparatus for controlling autonomous vehicles utilizing maps that include visibility information. A map is stored at a computing device associated with a vehicle. The vehicle is configured to operate in an autonomous mode that supports a plurality of driving behaviors. The map includes information about a plurality of roads, a plurality of features, and visibility information for at least a first feature in the plurality of features. The computing device queries the map for visibility information for the first feature at a first position. The computing device, in response to querying the map, receives the visibility information for the first feature at the first position. The computing device selects a driving behavior for the vehicle based on the visibility information. The computing device controls the vehicle in accordance with the selected driving behavior.

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