501 citations · 771 across the 9 of their papers we have counts for
21 papers
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…
SuMa++: Efficient LiDAR-based Semantic SLAM
Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo +3
Reliable and accurate localization and mapping are key components of most autonomous systems. Besides geometric information about the mapped environment, the semantics plays an imp…
Accurate outdoor ground truth based on total stations
Maxime Vaidis, Philippe Giguère, François Pomerleau +1
In robotics, accurate ground-truth position fostered the development of mapping and localization algorithms through the creation of cornerstone datasets. In outdoor environments an…
Evaluation of Skid-Steering Kinematic Models for Subarctic Environments
Dominic Baril, Vincent Grondin, Simon-Pierre Deschênes +6
In subarctic and arctic areas, large and heavy skid-steered robots are preferred for their robustness and ability to operate on difficult terrain. State estimation, motion control…