SIMULATED VEHICLE OPERATION MODELING WITH REAL VEHICLE PROFILES

    公开(公告)号:US20190050520A1

    公开(公告)日:2019-02-14

    申请号:US15869313

    申请日:2018-01-12

    Abstract: Systems and techniques for simulated vehicle modeling with real vehicle profiles are described herein. In an example, a simulated vehicle modeling system is adapted to obtain a vehicle performance fingerprint, such as from a vehicle performance fingerprint that includes vehicle performance data collected from a unique vehicle while experiencing real world driving conditions. The simulated vehicle modeling system may be further adapted to present, in a driving simulator, a simulated driving experience with a simulated vehicle, such as for a simulated vehicle that is constructed based on the vehicle performance fingerprint. The simulated vehicle modeling system may be further adapted to update a set of driving directives for an autonomous vehicle based on the simulated driving experience and upload the set of driving directive to an autonomous vehicle.

    Simulated vehicle operation modeling with real vehicle profiles

    公开(公告)号:US12050842B2

    公开(公告)日:2024-07-30

    申请号:US17353173

    申请日:2021-06-21

    CPC classification number: G06F30/15 G06F30/20 B60W30/085 B60W30/09 G06N20/00

    Abstract: Systems and techniques for simulated vehicle operation modeling with real vehicle profiles are described herein. In an example, a simulated vehicle modeling system is adapted to obtain a vehicle performance fingerprint, such as from a vehicle performance fingerprint that includes vehicle performance data collected from a unique vehicle while experiencing real world driving conditions. The simulated vehicle modeling system may be further adapted to present, in a driving simulator, a simulated driving experience with a simulated vehicle, such as for a simulated vehicle that is constructed based on the vehicle performance fingerprint. The simulated vehicle modeling system may be further adapted to update a set of driving directives for an autonomous vehicle based on the simulated driving experience and upload the set of driving directive to an autonomous vehicle.

    Safety system, automated driving system, and methods thereof

    公开(公告)号:US11529951B2

    公开(公告)日:2022-12-20

    申请号:US16726281

    申请日:2019-12-24

    Abstract: In some aspects, a safety system may be configured to receive vehicle position data indicating a position of a vehicle, determine a first lane segment in a lane coordinate system based on the vehicle position data, the first lane segment being a lane segment in which the vehicle is located, determine a relevant set of lane segments based on a safety-range from the first lane segment, determine or receive obstacle position data indicating a second lane segment in the lane coordinate system, the second lane segment being a lane segment in which an obstacle is located, and classify the obstacle either as a non-relevant obstacle in the case that the second lane segment is not included in the relevant set of lane segments, or as a relevant obstacle in the case that the second lane segment is included in the relevant set of lane segments.

    Safety system for a vehicle
    38.
    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.

    AUTOMATICALLY VERIFYING VEHICLE IDENTITY AND VALIDATING VEHICLE PRESENCE

    公开(公告)号:US20220141042A1

    公开(公告)日:2022-05-05

    申请号:US17492830

    申请日:2021-10-04

    Abstract: Systems, apparatuses and methods may provide for infrastructure node technology that conducts a mutual authentication with a vehicle and verifies, if the mutual authentication is successful, location information received from the vehicle. The infrastructure node technology may also send a token to the vehicle if the location information is verified, wherein the token includes an attestation that the vehicle was present in a location associated with the location information at a specified moment in time. Additionally, vehicle technology may conduct a mutual authentication with an infrastructure node and send, if the mutual authentication is successful, location information to the infrastructure node. The vehicle technology may also receive a token from the infrastructure node.

    AUTOMATED NETWORK CONTROL SYSTEMS THAT ADAPT NETWORK CONFIGURATIONS BASED ON THE LOCAL NETWORK ENVIRONMENT

    公开(公告)号:US20200329386A1

    公开(公告)日:2020-10-15

    申请号:US16913541

    申请日:2020-06-26

    Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

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