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Map-less automated lane-following driving platform using IONIQ5

create 인하대학교 관리자access_time 2025.07.25 11:28visibility 435

 

Map-less automated lane-following driving platform using IONIQ5

  • groupTeam Project Name

  • access_timeMeeting Schedule

    화 19,20교시(18:00~18:50)

  • businessLocation

    Yonghyun Campus 7-601

  • faceTeam Advisors

    Hale Kim, Choonwoo Ryu

  • bookAcademic Majors of Interest

    Mechanical, Aerospace, Naval Architecture & Ocean, Electrical & Electronic, Computer, Smart Mobility, Geoinformatic, Artificial Intelligence, and Future Vehicle Engineering

  • location_cityRelated Companies

    Hyundai Motor Company, KIA Corporation, and Automobile companies

  • peoplePartner(s) and Sponsor(s)

KOR ENG List

Goals

Development of an autonomous vehicle platform that enables autonomous driving with lane and obstacle recognition without a map under limited real-road environments and driving conditions using IONIQ 5

Issues Involved or Addressed

  • 1. Accurate recognition of lanes and dynamic/static obstacles based on cameras on real roads without high-resolution maps
    2. Recognition/tracking of surrounding vehicles and estimation of position/relative speed using a lidar
    3. Speed/wheel control of vehicle based on recognition of surrounding obstacles (including lane change and ACC functions)

Medtods and Technologies

  • 1. Training and applying multi-tasking (object detection, lane recognition, driving area classification) DNN models based on YOLO
    2. Applying point-pillar or similar lidar data processing tools and object tracking based on Kalman filtering
    3. Speed/wheel control of vehicle such as PID, Pure-Pursuit, and MPC

Preferred Interests and Preparation

  • 1. Computer vision and AI
    2. Automatic control
    3. Sensors and signal processing
    4. System integration

Result

실차 Hale.png