Autonomous Tourism Surface Vehicle – KKCTBN 2023
AI-assisted autonomous surface vehicle for KKCTBN 2023 competition with RTK GPS navigation and YOLO-based object detection
Autonomous Tourism Surface Vehicle for KKCTBN 2023
Overview
Developed an autonomous surface vehicle for the KKCTBN 2023 competition, focusing on waypoint navigation with RTK GPS and early-stage deep learning integration using YOLOv4 for object detection. The project explored AI-assisted control tailored for tourism applications in marine environments.
Contribution
- Team Leadership: Led the PENSHIP team, managing electronics, programming, and navigation divisions.
- Mission System: Designed and implemented RTK GPS-based positioning for high-accuracy waypoint navigation.
- Computer Vision: Developed early computer vision obstacle detection using YOLOv4 on Jetson Nano.
- Software Architecture: Built scalable architecture for autonomous decision-making with future AI expansion.
Results
- Successfully completed mission demonstrations in KKCTBN 2023 trials.
- Marked as an initial milestone toward deploying smart autonomous vessels for tourism.
Progress Video
Final Auto Mode Demonstration
Documentation
Documentation photo from the KKCTBN 2023 Autonomous Tourism Surface Vehicle mission trials.