501 citations · 838 across the 22 of their papers we have counts for
8 papers · 1 filter
Tree bark re-identification using a deep-learning feature descriptor
Martin Robert, Patrick Dallaire, Philippe Giguère
The ability to visually re-identify objects is a fundamental capability in vision systems. Oftentimes, it relies on collections of visual signatures based on descriptors, such as S…
Deep Template-based Object Instance Detection
Jean-Philippe Mercier, Mathieu Garon, Philippe Giguère +1
Much of the focus in the object detection literature has been on the problem of identifying the bounding box of a particular class of object in an image. Yet, in contexts such as r…
Driving Datasets Literature Review
Charles-Éric Noël Laflamme, François Pomerleau, Philippe Giguère
This report is a survey of the different autonomous driving datasets which have been published up to date. The first section introduces the many sensor types used in autonomous dri…
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
Emanuele Palazzolo, Jens Behley, Philipp Lottes +2
Mapping and localization are essential capabilities of robotic systems. Although the majority of mapping systems focus on static environments, the deployment in real-world situatio…
Predicting GNSS satellite visibility from dense point clouds
Philippe Dandurand, Philippe Babin, Vladimır Kubelka +2
To help future mobile agents plan their movement in harsh environments,a predictive model has been designed to determine what areas would be favorable for Global Navigation Satelli…
Large-scale 3D Mapping of Subarctic Forests
Philippe Babin, Philippe Dandurand, Vladimír Kubelka +2
The ability to map challenging subarctic environments opens new horizons for robotic deployments in industries such as forestry, surveillance, and open-pit mining. In this paper, w…
Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
Jean-François Tremblay, Martin Béland, François Pomerleau +2
Forestry is a major industry in many parts of the world. It relies on forest inventory, which consists of measuring tree attributes. We propose to use 3D mapping, based on the iter…
GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier
Alexandre Gariépy, Jean-Christophe Ruel, Brahim Chaib-draa +1
Grasping is a fundamental robotic task needed for the deployment of household robots or furthering warehouse automation. However, few approaches are able to perform grasp detection…