3D log recognition and pose estimation for robotic forestry machine

By Yeonchool Park, A. Shiriaev, Simon Westerberg, Sukhan Lee. 2011

15 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Environmental Engineering, Industrial and Manufacturing Engineering, 3D Vision & Pose, Robotics & Control

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Philippe Giguère
2. François Pomerleau

In Computer Vision and Pattern Recognition

1. Jean-Michel Fortin
2. Vincent Grondin
3. Songyu Li
4. Olivier Gamache
5. Philippe Giguère
6. Håkan Lideskog
7. François Pomerleau

In Environmental Engineering

1. Philippe Giguère
2. François Pomerleau

In Robotics & Control

1. Songyu Li
2. Håkan Lideskog

Citations in the corpus

• Instance Segmentation for Autonomous Log Grasping in Forestry Operations (2022, background): “[28] demonstrated the potential of a structured light-based vision system to detect and localize logs, predating deep learning.”
• Implementation of a System for Real-Time Detection and Localization of Terrain Objects on Harvested Forest Land (2021, background): “The study includes several composite solutions developed in order to have the entire real-time system functioning and benchmarked:”
• Reinforcement Learning Control of a Forestry Crane Manipulator (2021, background): “detection and pose estimation of logs [10] or tree stems [11].”