Damien LaRocque

Collection of links and resources in robot learning

(Le texte en français se trouve ici)

During the last months, I worked on uvt-rs, my first project in Rust 🦀!

uvt-rs is a collection of Rust crates for processing and interacting with Uncrewed Vehicle Trajectory (UVT) files. The UVT file format provides a lightweight way to describe trajectories of uncrewed vehicles, such as UAV, UGV, etc. It was designed as an extension of the LTR format introduced in Kilometer-Scale Autonomous Navigation in Subarctic Forests: Challenges and Lessons Learned.

Here are a few tips and tricks and configurations to add to your system while working with ROS 2.

During the last months, I contributed to the paper Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment, published in the Classification of Forest Tree Species Using Remote Sensing Technologies: Latest Advances and Improvements special issue of the Forests MDPI journal. This paper proposes a novel pre-training approach for semantic segmentation of UAV imagery, where a classifier trained on citizen science data generates over 140,000 auto-labeled images, improving model performance and achieving a higher F1 score (43.74%) than training solely on manually labeled data (41.58%). With this paper, we highlight the importance of AI for large-scale environmental monitoring of dense and vasts forested areas, such as in the province of Quebec.