Research

UAV-Assisted Self-Supervised Terrain Awareness for Off-Road Navigation

Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment

Toward a digital twin to improve the training and performance of forestry operators

Log Loading Automation for Timber-Harvesting Industry

CLOUDSPAM: Contrastive Learning On Unlabeled Data for Segmentation and Pre-Training Using Aggregated Point Clouds and MoCo

Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data

BoQ: A Place is Worth a Bag of Learnable Queries

DRIVE: Data-driven Robot Input Vector Exploration

RTS-GT: Robotic Total Stations Ground Truthing dataset