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.
- 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.
- 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
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Anticipated hours worked per week
7