501 citations · 838 across the 22 of their papers we have counts for
4 papers · 1 filter
Tree Detection and Diameter Estimation Based on Deep Learning
Vincent Grondin, Jean-Michel Fortin, François Pomerleau +1
Tree perception is an essential building block toward autonomous forestry operations. Current developments generally consider input data from lidar sensors to solve forest navigati…
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
Amar Ali-bey, Brahim Chaib-draa, Philippe Giguère
This paper aims to investigate representation learning for large scale visual place recognition, which consists of determining the location depicted in a query image by referring t…
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
Vincent Grondin, François Pomerleau, Philippe Giguère
Vision-based segmentation in forested environments is a key functionality for autonomous forestry operations such as tree felling and forwarding. Deep learning algorithms demonstra…
Instance Segmentation for Autonomous Log Grasping in Forestry Operations
Jean-Michel Fortin, Olivier Gamache, Vincent Grondin +2
Wood logs picking is a challenging task to automate. Indeed, logs usually come in cluttered configurations, randomly orientated and overlapping. Recent work on log picking automati…