Providing actionable uncertainties in autonomous vehicles

    公开(公告)号:US11860636B2

    公开(公告)日:2024-01-02

    申请号:US17952685

    申请日:2022-09-26

    申请人: UATC, LLC

    IPC分类号: G05D1/02 G06V20/58 G06F18/00

    摘要: Systems and methods are provided for detecting objects of interest. A computing system can input sensor data to one or more first machine-learned models associated with detecting objects external to an autonomous vehicle. The computing system can obtain as an output of the first machine-learned models, data indicative of one or more detected objects. The computing system can determine data indicative of at least one uncertainty associated with the one or more detected objects and input the data indicative of the one or more detected objects and the data indicative of the at least one uncertainty to one or more second machine-learned models. The computing system can obtain as an output of the second machine-learned models, data indicative of at least one prediction associated with the one or more detected objects. The at least one prediction can be based at least in part on the detected objects and the uncertainty.

    ARTIFICAL INTELLIGENCE DRIVEN AUTOMATED TELLER MACHINE

    公开(公告)号:US20230334960A1

    公开(公告)日:2023-10-19

    申请号:US17815740

    申请日:2022-07-28

    申请人: Truist Bank

    摘要: A system and a method for providing mobile services uses an autonomous automated teller machine vehicle including a controller operating a drive unit to move the autonomous vehicle and execute a machine learning algorithm configured to guide the movement along a selected travel path according to travel path information. Sensors on the autonomous vehicle detect fixed objects, new objects and persons along the travel path. The machine learning algorithm performs steps for guiding the movement along the travel path including: determining whether each of the detected fixed objects is included in the travel path information for use in guiding the vehicle; determining whether each of the detected new objects is to be included in the travel path information; and determining whether each of the detected persons interferes with the travel path and requires the vehicle to stop moving until the interfering person moves away from the travel path.