AUTONOMOUS VEHICLE CAPABLE OF PRECISE POSITION CORRECTION BASED ON COLLABORATIVE COGNITION AND METHOD FOR CORRECTING THE SAME

    公开(公告)号:US20240391503A1

    公开(公告)日:2024-11-28

    申请号:US18670785

    申请日:2024-05-22

    Abstract: A precise position correction method based on collaborative cognition in an autonomous vehicle includes: estimating object information on a road within a detection range on an autonomous vehicle; receiving a shared message from at least one of a first vehicle (another connected vehicle (CV) or automated vehicle (CAV)) and a road infrastructure device for V2X communication on the road, receiving the message including driving status information of the other CV when the first vehicle is the other CV, and receiving the driving status information of the other CAV and the message about a second vehicle, in which the V2X communication is not possible, recognized by the other CAV; calculating an estimated error by comparing the estimated object information with the message; and setting a radius based on the first vehicle corresponding to an estimated error application radius in consideration of a distance between the autonomous vehicle and the first vehicle.

    Apparatus for autonomous driving and method and system for calibrating sensor thereof

    公开(公告)号:US11587256B2

    公开(公告)日:2023-02-21

    申请号:US17110853

    申请日:2020-12-03

    Abstract: The autonomous driving device including a communication circuit configured to communicate with an unmanned aerial vehicle, a plurality of sensors disposed in the autonomous vehicle to monitor all directions of the autonomous vehicle, and a processor, wherein the processor is configured to: control the unmanned aerial vehicle to hover at each of a plurality of waypoints of a designated flight path by controlling a relative position of the unmanned aerial vehicle through the communication circuit, change a posture angle of the unmanned aerial vehicle to a plurality of posture angles corresponding to the waypoints of the flight path, generate a plurality of images including the checkerboard and corresponding to the plurality of waypoints and the plurality of posture angles through the plurality of sensors, and calibrate the plurality of sensors on the basis of a relationship between matching points of the plurality of images.

    Apparatus and method for extracting salient line for information sign

    公开(公告)号:US10438087B2

    公开(公告)日:2019-10-08

    申请号:US15365630

    申请日:2016-11-30

    Abstract: Provided are an apparatus and method for extracting a salient line for an information sign. The apparatus includes an image input portion configured to receive an image including information indication lines to be detected, a signal calculator configured to generate a symmetric function signal consistent with a thickness and a direction of an information indication line having a preset thickness in the received image and perform a convolution of the information indication line and the generated symmetric function signal, a highest value enhancement portion configured to enhance highest values in results of the convolution using a signal quality improvement filter, and a local highest value extractor configured to find local highest values among the enhanced highest values and extract a line connecting the local highest values as a salient line connecting center points in the information indication line.

    TRAINING DATA SERVICE SYSTEM AND METHOD FOR OPERATION SCOPE-ORIENTED AUTONOMOUS SHUTTLE

    公开(公告)号:US20250095489A1

    公开(公告)日:2025-03-20

    申请号:US18751421

    申请日:2024-06-24

    Abstract: A training data service system for operation scope-oriented autonomous driving shuttle includes a communication module configured to collect an autonomous driving data set from an autonomous driving vehicle to construct training data and distribute the training data to an autonomous driving shuttle, a memory configured to store a program for construction of the training data, and a processor configured to generate query data including road shape information, road attribute information, traffic environment information, and collection sensor information by executing the program stored in the memory, detect data satisfying a condition corresponding to the query data from a previously collected autonomous driving data set, construct training data for the autonomous driving shuttle, based on the detected data, and distribute the constructed training data to a corresponding autonomous driving shuttle.

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