Crowdsource-based virtual sensor generation and virtual sensor application control

    公开(公告)号:US10534368B2

    公开(公告)日:2020-01-14

    申请号:US15632802

    申请日:2017-06-26

    Abstract: A crowdsourced virtual sensor generator is provided which could be generated by a vehicle or provided to the vehicle as, for example, a service. The crowdsourced virtual sensor generator may include, but is not limited to, a communication system configured to receive contributing vehicle sensor data from one or more contributing vehicles, a location of the one or more contributing vehicles and a target vehicle, and a processor, the processor configured to filter the received contributing vehicle sensor data based upon the location of the one or more contributing vehicles and the location of the target vehicle, aggregate the filtered contributing vehicle sensor data into at least one of a data-specific dataset and an application-specific data set, and generate a virtual sensor for the target vehicle, the virtual sensor processing the filtered and aggregated contributing vehicle sensor data to generate output data relative to the location of the target vehicle.

    Stixel estimation methods and systems

    公开(公告)号:US10482331B2

    公开(公告)日:2019-11-19

    申请号:US15353359

    申请日:2016-11-16

    Inventor: Shuqing Zeng

    Abstract: Methods and systems are provided for detecting an object. In one embodiment, a method includes: receiving, by a processor, image data from an image sensor; receiving, by a processor, radar data from a radar system; processing, by the processor, the image data from the image sensor and the radar data from the radar system using a deep learning method; and detecting, by the processor, an object based on the processing.

    MANAGING AUTOMATED DRIVING COMPLEXITY OF THE FORWARD PATH USING PERCEPTION SYSTEM MEASURES

    公开(公告)号:US20190232955A1

    公开(公告)日:2019-08-01

    申请号:US15886492

    申请日:2018-02-01

    Abstract: Technical solutions are described for controlling an automated driving system of a vehicle. An example method includes computing a complexity metric of an upcoming region along a route that the vehicle is traveling along. The method further includes, in response to the complexity metric being below a predetermined low-complexity threshold, determining a trajectory for the vehicle to travel in the upcoming region using a computing system of the vehicle. Further, the method includes in response to the complexity metric being above a predetermined high-complexity threshold, instructing an external computing system to determine the trajectory for the vehicle to travel in the upcoming region. If the trajectory cannot be determined by the external computing system a minimal risk condition maneuver of the vehicle is performed.

    METHOD AND APPARATUS FOR MONITORING OF AN AUTONOMOUS VEHICLE

    公开(公告)号:US20190066396A1

    公开(公告)日:2019-02-28

    申请号:US15688467

    申请日:2017-08-28

    Abstract: An autonomic vehicle control system is described, and includes a vehicle spatial monitoring system including a subject spatial sensor that is disposed to monitor a spatial environment proximal to the autonomous vehicle. A controller is in communication with the subject spatial sensor, and the controller includes a processor and a memory device including an instruction set. The instruction set is executable to evaluate the subject spatial sensor, which includes determining first, second, third, fourth and fifth SOH (state of health) parameters associated with the subject spatial sensor, and determining an integrated SOH parameter for the subject spatial sensor based thereupon.

    CROSS TRAFFIC DETECTION USING CAMERAS
    55.
    发明申请

    公开(公告)号:US20190064841A1

    公开(公告)日:2019-02-28

    申请号:US15690966

    申请日:2017-08-30

    Abstract: A vehicle, system and method of driving of an autonomous vehicle. The vehicle includes a camera for obtaining an image of a surrounding region of the vehicle, an actuation device for controlling a parameter of motion of the vehicle, and a processor. The processor selects a context region within the image, wherein the context region including a detection region therein. The processor further estimates a confidence level indicative of the presence of at least a portion of the target object in the detection region and a bounding box associated with the target object, determines a proposal region from the bounding box when the confidence level is greater than a selected threshold, determines a parameter of the target object within the proposal region, and controls the actuation device to alter a parameter of motion of the vehicle based on the parameter of the target object.

    METHOD AND APPARATUS FOR ESTIMATING ARTICULATION ANGLE

    公开(公告)号:US20180365509A1

    公开(公告)日:2018-12-20

    申请号:US15628030

    申请日:2017-06-20

    Abstract: A method and apparatus for trailer recognition are provided. The method includes detecting a face of a trailer in a first and second image, taken at first and second distances respectively, generating a bounding box around the face of the trailer in the first and second images, determining a first and second set of feature points in the bounding boxes of the first and second images, determining a correspondence between the first set of feature points and the second set of feature points and a correspondence between corners of the bounding boxes and estimating at least one dimension of the trailer by performing a least squares analysis to solve for three-dimensional real world coordinates of the first and second set of features points and the corners of the bounding boxes. The method may assist an operator of a vehicle in aligning the vehicle hitch with a trailer coupler.

    Reactive path planning for autonomous driving

    公开(公告)号:US09868443B2

    公开(公告)日:2018-01-16

    申请号:US14696877

    申请日:2015-04-27

    Abstract: A method of adaptively re-generating a planned path for an autonomous driving maneuver. An object map is generated based on the sensed objects in a road of travel. A timer re-set and actuated. A planned path is generated for autonomously maneuvering the vehicle around the sensed objects. The vehicle is autonomously maneuvered along the planned path. The object map is updated based on sensed data from the vehicle-based devices. A safety check is performed for determining whether the planned path is feasible based on the updated object map. The planned path is re-generated in response to a determination that the existing path is infeasible, otherwise a determination is made as to whether the timer has expired. If the timer has not expired, then a safety check is re-performed; otherwise, a return is made to re-plan the path.

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