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AI_CAR_PROJECT

Al-Car

  • Members

    전진영 (팀장)

    이규호
    김준영
    김동환
  • Working to thing

    Union TEST : ROS

    전진영

    Yolo, RRT

    이규호

    lidar and Yolo linkage

    김준영

    slam
    RRT

    김동환

    Opencv
    reciving velocity data from IMU Sensor
  • Complete Mission

    Union TEST : ROS

    전진영

    Yolo : Unit test - detect "Car" and servo control
    Rviz : example test : autonomous driving test
    Motor : Prototpye made dc motor stop, when detect "Car"

    이규호

    IMU : Unit test - Arduino and ROS and Windows environment
    Motor : DC and Servo test in TX2 Ubuntu 16.04LTS environment
    Yolo : Unit test - test in ROS environment
    TX2 : I2C comunication test

    김준영

    Opencv : Unit test - TX2 and ROS and Windows VM Ubuntu 18.04LTS environment
    Rviz : make test example

    김동환

    Opencv : Unit test - Labtop Ubuntu 16.04LTS and ROS and TX2 environment
    Rviz : example test : autonomous driving test
    gazebo : reference code test
    OPencv : Prototpye made servo motor control, when detect "Lane"
  • What is Al-Car?

    2019 Nvidia Flatform 기반의 자율주행 자동차
  • 목표

    NVIDIA PLATFORM을 활용한 ACC, AEB 등 주행보조시스템(ADAS) 구현
    모형차를 활용한 주행보조시스템 개발
  • 주요 기술

    상황인식(영상처리 - OpenCV, Deep Learning)
    모터 드라이버를 이용한 BLDC Motor, Survo Motor Control
    ROS(Kinetic)를 활용한 gazebo simulation
    Lidar, Camera Sensor 신호처리
    ACC, AEB 등 ADAS System logic 설계
    모형차를 활용한 주행 Test
  • S/W

    ROS
    OpenCV
    Deep Learning
    Sensor Fusion
    Motor Control
  • H/W

    Jetson-TX2 Board
    OpenCR Board
    SSD 250GB
    USB Camera
    USB Herb(3.0/7 ports)
    DC Motor
    Servo Motor
    ESC(Motor Driver)
    Lidar Sensor
    IMU Sensor
    UltraSonic Sensor
    TX's Battery, Motor's Battery
    Car's Body

Result

Limitations

reference

hp laptop joy issue

RRT

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