AI-Driven LiDAR and Machine Vision for Autonomous Forest Robotics
AI-Driven LiDAR and Machine Vision for Autonomous Forest Robotics
Graduate Student Name:
Jiyeon Ryu
Email Address:
Faculty mentor/Supervisor:
Heesung Woo
Email Address (Faculty mentor/Supervisor):
Department Affiliation:
Forest Engineering Resources & Management
Job Location:
Oregon State University, Corvallis (primarily on-campus; hybrid may be considered)
Description of project or research opportunity:
The project focuses on developing an AI-autonomous system for segmenting and interpreting forest environments using 3D LiDAR point clouds and machine vision imagery. The undergraduate student will assist in advancing next-generation robotics for intelligent forest operations by supporting data annotation, model development, and technical documentation.
Tasks student will perform:
- Annotate image datasets for machine vision training (e.g., object detection, semantic segmentation).
- Label and classify LiDAR point cloud data from UAV, mobile, and terrestrial platforms.
- Assist in developing machine learning models using frameworks like PyTorch or TensorFlow.
- Support technical documentation, data pipeline development, and literature reviews.
Special skills required:
- Basic understanding of programming (Python preferred).
- Interest in machine learning, AI, or robotics.
- Attention to detail for data annotation tasks.
- No prior experience with LiDAR or machine vision required, but eagerness to learn is essential.
Proposed dates of employment (must be between June 19 and September 4):
Thursday, June 19, 2025 to Thursday, September 4, 2025
Anticipated hours worked per week:
7