Methods and systems for interpretating traffic signals and negotiating signalized intersections

    公开(公告)号:US11205343B2

    公开(公告)日:2021-12-21

    申请号:US16280152

    申请日:2019-02-20

    Abstract: Systems and methods are provided for interpreting traffic information by a vehicle. In one embodiment, a method includes: receiving, by a processor, sensor data from one or more sensing devices of the vehicle, where the sensor data depicts a traffic device in an environment of the vehicle; receiving, by the processor, map data associated with the environment of the vehicle, where the map data includes traffic devices; matching, by the processor, the traffic device of the sensor data with a traffic device of the map data; determining, by the processor, a probability distribution of a traffic signal associated with the matched traffic devices based on a Hidden Markov model (HMM); and planning, by the processor, control of the vehicle based on the probability distribution.

    SYSTEM AMD METHOD FOR PROVIDING SITUATIONAL AWARENESS INTERFACES FOR A VEHICLE OCCUPANT

    公开(公告)号:US20230058508A1

    公开(公告)日:2023-02-23

    申请号:US17445450

    申请日:2021-08-19

    Abstract: A method for providing a situational awareness interface for an occupant of an automated vehicle is provided. The method includes: generating a vehicle route graphic that displays a street level map of an area that includes a current location of the vehicle and an intended destination of the vehicle along with a visual depiction of a planned route and one or more alternate routes for the vehicle; determining a probability of requiring assistance or interaction and an estimated time of arrival for each of the planned route and the one or more alternate routes; providing a visual indication of the probability of requiring assistance or interaction and the estimated time of arrival for each of the planned route and the one or more alternate routes on the vehicle route graphic; and signaling a display device to display the vehicle route graphic.

    Combining heterogeneous types of maps

    公开(公告)号:US11307039B2

    公开(公告)日:2022-04-19

    申请号:US16439188

    申请日:2019-06-12

    Abstract: A system for generating a map includes a processing device configured to determine a provenance of each received map of a plurality of maps, parse each received map into objects of interest, and compare the objects of interest to identify one or more sets of objects representing a common feature. For each set of objects, the processing device is configured to select a subset of the set of objects based on the provenance associated with each object in the set of objects, and calculate a similarity metric for each object in the subset. The similarity metric is selected from an alignment between an object and a reference object in the subset, and/or a positional relationship between the object and the reference object. The processing device is configured to generate a common object representing the common feature based on the similarity metric, and generate a merged map including the common object.

    PERCEPTION METHODS AND SYSTEMS FOR LOW LIGHTING CONDITIONS

    公开(公告)号:US20210018928A1

    公开(公告)日:2021-01-21

    申请号:US16515592

    申请日:2019-07-18

    Abstract: Methods and systems are provided for detecting objects within an environment of a vehicle. In one embodiment, a method includes: receiving, by a processor, image data sensed from the environment of the vehicle; determining, by a processor, an area within the image data that object identification is uncertain; controlling, by the processor, a position of a lighting device to illuminate a location in the environment of the vehicle, wherein the location is associated with the area; controlling, by the processor, a position of one or more sensors to obtain sensor data from the location of the environment of the vehicle while the lighting device is illuminating the location; identifying, by the processor, one or more objects from the sensor data; and controlling, by the processor, the vehicle based on the one or more objects.

    REMOTE VEHICLE SPATIAL AWARENESS NOTIFICATION SYSTEM

    公开(公告)号:US20190337451A1

    公开(公告)日:2019-11-07

    申请号:US15969292

    申请日:2018-05-02

    Abstract: Technical solutions are described herein for providing driver notification in a vehicle. An example system includes one or more sensors that measure one or more attributes of a remote object in a predetermined vicinity of the vehicle. The system further includes an output device that provides a notification to a driver. The system further includes a remote object monitoring system that generates a driver notification to be provided via the output device based on the attributes of the remote object. Generating the driver notification includes determining a recklessness score for the remote object based on the attributes of the remote object. Generating the driver notification further includes, in response to the recklessness score exceeding a predetermined threshold, generating the driver notification that comprises a directional information that provides a spatial awareness of a location of the remote object in relation to the vehicle.

    Method and system for localized travel lane perception

    公开(公告)号:US11327506B2

    公开(公告)日:2022-05-10

    申请号:US16689672

    申请日:2019-11-20

    Abstract: A system and method for monitoring a road segment includes determining a geographic position of a vehicle in context of a digitized roadway map. A perceived point cloud and a mapped point cloud associated with the road segment are determined. An error vector is determined based upon a transformation between the mapped point cloud and the perceived point cloud. A first confidence interval is derived from a Gaussian process that is composed from past observations. A second confidence interval associated with a longitudinal dimension and a third confidence interval associated with a lateral dimension are determined based upon the mapped point cloud and the perceived point cloud. A Kalman filter analysis is executed to dynamically determine a position of the vehicle relative to the roadway map based upon the error vector, the first confidence interval, the second confidence interval, and the third confidence interval.

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