Safety system for a vehicle
    1.
    发明授权

    公开(公告)号:US11472414B2

    公开(公告)日:2022-10-18

    申请号:US16830413

    申请日:2020-03-26

    Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

    METHODS AND APPARATUS FOR UNSUPERVISED MULTIMODAL ANOMALY DETECTION FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20190135300A1

    公开(公告)日:2019-05-09

    申请号:US16235917

    申请日:2018-12-28

    Abstract: An example includes obtaining first sensor data from a first sensor and second sensor data from a second sensor, the first sensor of a first sensor type different than a second sensor type of the second sensor; generating first encoded sensor data based on the first sensor data and second encoded sensor data based on the second sensor data; generating a contextual fused sensor data representation of the first and second sensor data based on the first and second encoded sensor data; generating first and second reconstructed sensor data based on the contextual fused sensor data representation; determining a deviation estimation based on the first and second reconstructed sensor data, the deviation estimation representative of a deviation between: (a) the first reconstructed sensor data, and (b) the first sensor data; and detecting an anomaly in the deviation estimation, the anomaly indicative of an error associated with the first sensor.

    System and method for acceleration-based vector field maps

    公开(公告)号:US11536574B2

    公开(公告)日:2022-12-27

    申请号:US16728849

    申请日:2019-12-27

    Abstract: In an autonomous vehicle system, data received from one or more autonomous vehicles (AVs) can be aggregated to generate aggregated data. From this aggregated data, a vector-field map can be generated that includes a plurality of cells. Each of the cells can include a corresponding vector. The vector field map can be analyzed to identify one or more vectors of the plurality of cells that exceed one or more predetermined threshold values. The analysis can include a magnitude analysis and/or a frequency analysis. Based on the analysis, traffic and/or road conditions can be determined, which can provide prior knowledge about the driving behavior of other vehicles. Advantageously, aspects of the disclosure improve predictive motion models and enhance navigation algorithms.

    Systems and methods for message assurance in vehicle systems

    公开(公告)号:US11423162B2

    公开(公告)日:2022-08-23

    申请号:US16833200

    申请日:2020-03-27

    Abstract: A vehicle control system, including an in-vehicle bus and a plurality of electronic control units (ECUs) coupled to the in-vehicle bus, wherein at least one ECU of the plurality of ECUs is configured to: receive, at a respective at least one ECU of the plurality of ECUs, a message in a message stream on the in-vehicle bus; evaluate the message to determine at least one of a confidence value of the security classification, a significance value of the message, or a bounds check value of the message; and determine in real-time to allow or deny the message to the vehicle control system based on at least one of the significance value of the message, the bounds check value of the message, or the confidence value of the security classification of the message, to provide a sanitized message stream to the vehicle control system.

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