UNIFIED BOUNDARY MACHINE LEARNING MODEL FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20250074451A1

    公开(公告)日:2025-03-06

    申请号:US18242328

    申请日:2023-09-05

    Abstract: A unified boundary machine learning model is capable of processing perception data received from various types of perception sensors on an autonomous vehicle to generate perceived boundaries of various semantic boundary types. Such perceived boundaries may then be used, for example, to control the autonomous vehicle, e.g., by generating a trajectory therefor. In some instances, the various semantic boundary types detectable by a unified boundary machine learning model may include at least a virtual construction semantic boundary type associated with a virtual boundary formed by multiple spaced apart construction elements, as well as an additional semantic boundary type associated with one or more other types of boundaries such as boundaries defined by physical barriers, painted or taped lines, road edges, etc.

    Remote live map system for autonomous vehicles

    公开(公告)号:US12151706B2

    公开(公告)日:2024-11-26

    申请号:US18581173

    申请日:2024-02-19

    Abstract: A live map system may be used to propagate observations collected by autonomous vehicles operating in an environment to other autonomous vehicles and thereby supplement a digital map used in the control of the autonomous vehicles. In addition, a live map system in some instances may be used to propagate location-based teleassist triggers to autonomous vehicles operating within an environment. A location-based teleassist trigger may be generated, for example, in association with a teleassist session conducted between an autonomous vehicle and a remote teleassist system proximate a particular location, and may be used to automatically trigger a teleassist session for another autonomous vehicle proximate that location and/or to propagate a suggested action to that other autonomous vehicle.

    Visual language models for perception

    公开(公告)号:US12158762B1

    公开(公告)日:2024-12-03

    申请号:US18244770

    申请日:2023-09-11

    Abstract: A method is provided, that includes: receiving camera data from a perception system of an autonomous vehicle; and providing the camera data to a visual language model, where the visual language model includes a mapping of a corpus of images and a corpus of text to a common parameter space. The method further includes: receiving from the visual language model an output corresponding to one or more text tokens; accessing a configuration file comprising a plurality of text tokens representing a plurality of objects or events of interest to the autonomous vehicle; and identifying a respective object or event of interest in an environment of the autonomous vehicle by determining that a text token of the output matches a respective one of the plurality of text tokens in the configuration file. The autonomous vehicle can then be controlled based at least in part on the respective object or event of interest.

    UNIFIED BOUNDARY MACHINE LEARNING MODEL FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20250077942A1

    公开(公告)日:2025-03-06

    申请号:US18241883

    申请日:2023-09-03

    Abstract: A unified boundary machine learning model is capable of processing perception data received from various types of perception sensors on an autonomous vehicle to generate perceived boundaries of various semantic boundary types. Such perceived boundaries may then be used, for example, to control the autonomous vehicle, e.g., by generating a trajectory therefor. In some instances, the various semantic boundary types detectable by a unified boundary machine learning model may include at least a virtual construction semantic boundary type associated with a virtual boundary formed by multiple spaced apart construction elements, as well as an additional semantic boundary type associated with one or more other types of boundaries such as boundaries defined by physical barriers, painted or taped lines, road edges, etc.

    REMOTE LIVE MAP SYSTEM FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20250065912A1

    公开(公告)日:2025-02-27

    申请号:US18941767

    申请日:2024-11-08

    Abstract: A live map system may be used to propagate observations collected by autonomous vehicles operating in an environment to other autonomous vehicles and thereby supplement a digital map used in the control of the autonomous vehicles. In addition, a live map system in some instances may be used to propagate location-based teleassist triggers to autonomous vehicles operating within an environment. A location-based teleassist trigger may be generated, for example, in association with a teleassist session conducted between an autonomous vehicle and a remote teleassist system proximate a particular location, and may be used to automatically trigger a teleassist session for another autonomous vehicle proximate that location and/or to propagate a suggested action to that other autonomous vehicle.

    Dual mode map for autonomous vehicle

    公开(公告)号:US12195038B1

    公开(公告)日:2025-01-14

    申请号:US18396363

    申请日:2023-12-26

    Abstract: An autonomous vehicle control system and method may utilize a dual mode map including sparse map data for some portions of an environment that lacks some of the data maintained in dense map data for other portions of the environment. Sparse map data may be used, for instance, to address a recently-established construction area on a roadway that is incompatible with dense map data that was previously used to operate on the roadway, enabling operation of an autonomous vehicle in the construction area to proceed even in the absence of dense map data for the construction area, e.g., by dynamically augmenting the sparse map data to incorporate additional data sensed by a perception system of the autonomous vehicle.

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