Publications
In DigiForest we are committed to producing novel, outstanding and rigorous research. To demonstrate our commitment our commitment, we seek to publish all work in high-quality, high-impact, peer-reviewed conferences. To easen the access to our research, we provide access links to the different published papers that have been funded by the DigiForest project.
Publications from 2024
Neural control barrier functions for safe navigation
N-MPC for Deep Neural Network-Based Collision Avoidance exploiting Depth Images
Tightly-Coupled LiDAR-Visual-Inertial SLAM and Large-Scale Volumetric Occupancy Mapping
Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding
Markerless Aerial-Terrestrial Co-Registration of Forest Point Clouds using a Deformable Pose Graph
Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning
Evaluation and Deployment of LiDAR-based Place Recognition in Dense Forests
Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System
Autonomous Forest Inventory with Legged Robots: System Design and Field Deployment
Virtual forests: a review on emerging questions in the use and application of 3D data in forestry
Fast Traversability Estimation for Wild Visual Navigation
Publications from 2023
Fast Traversability Estimation for Wild Visual Navigation
Pulications from 2022
Harveri : A Small (Semi-)Autonomous Precision Tree Harvester