Philippe Giguère

Lidar Scan Registration Robust to Extreme Motions

Registration algorithms, such as Iterative Closest Point (ICP), have pro...
05/03/2021 ∙ by Simon-Pierre Deschênes, et al. ∙ 0 ∙ share

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Accurate outdoor ground truth based on total stations

In robotics, accurate ground-truth position fostered the development of ...
04/29/2021 ∙ by Maxime Vaidis, et al. ∙ 0 ∙ share

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Evaluation of Skid-Steering Kinematic Models for Subarctic Environments

In subarctic and arctic areas, large and heavy skid-steered robots are p...
04/10/2020 ∙ by Dominic Baril, et al. ∙ 0 ∙ share

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The Indian Chefs Process

This paper introduces the Indian Chefs Process (ICP), a Bayesian nonpara...
01/29/2020 ∙ by Patrick Dallaire, et al. ∙ 16 ∙ share

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Tree bark re-identification using a deep-learning feature descriptor

The ability to visually re-identify objects is a fundamental capability ...
12/06/2019 ∙ by Martin Robert, et al. ∙ 0 ∙ share

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Learning to Match Templates for Unseen Instance Detection

Detecting objects in images is a quintessential problem in computer visi...
11/26/2019 ∙ by Jean-Philippe Mercier, et al. ∙ 19 ∙ share

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Driving Datasets Literature Review

This report is a survey of the different autonomous driving datasets whi...
10/26/2019 ∙ by Charles-Éric Noël Laflamme, et al. ∙ 26 ∙ share

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ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals

Mapping and localization are essential capabilities of robotic systems. ...
05/06/2019 ∙ by Emanuele Palazzolo, et al. ∙ 0 ∙ share

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Predicting GNSS satellite visibility from dense point clouds

To help future mobile agents plan their movement in harsh environments,a...
04/16/2019 ∙ by Philippe Dandurand, et al. ∙ 0 ∙ share

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Predicting GNSS satellite visibility from densepoint clouds

To help future mobile agents plan their movement in harsh environments, ...
04/16/2019 ∙ by Philippe Dandurand, et al. ∙ 0 ∙ share

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Large-scale 3D Mapping of Sub-arctic Forests

The ability to map challenging sub-arctic environments opens new horizon...
04/16/2019 ∙ by Philippe Babin, et al. ∙ 0 ∙ share

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Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations

Forestry is a major industry in many parts of the world. It relies on fo...
04/10/2019 ∙ by Jean-François Tremblay, et al. ∙ 0 ∙ share

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GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier

Grasping is a fundamental robotic task needed for the deployment of hous...
03/06/2019 ∙ by Alexandre Gariépy, et al. ∙ 22 ∙ share

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Analysis of Robust Functions for Registration Algorithms

Registration accuracy is influenced by the presence of outliers and nume...
10/02/2018 ∙ by Philippe Babin, et al. ∙ 0 ∙ share

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CELLO-3D: Estimating the Covariance of ICP in the Real World

The fusion of Iterative Closest Point (ICP) reg- istrations in existing ...
10/02/2018 ∙ by David Landry, et al. ∙ 0 ∙ share

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Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images

This work proposes a process for efficiently training a point-wise objec...
06/18/2018 ∙ by Jean-Philippe Mercier, et al. ∙ 0 ∙ share

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Tree Species Identification from Bark Images Using Convolutional Neural Networks

Tree species identification using images of the bark is a challenging pr...
03/02/2018 ∙ by Mathieu Carpentier, et al. ∙ 0 ∙ share

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Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection

Convolutional neural networks (CNN) have become the most successful and ...
10/28/2017 ∙ by Ludovic Trottier, et al. ∙ 0 ∙ share

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Dictionary Learning for Robotic Grasp Recognition and Detection

The ability to grasp ordinary and potentially never-seen objects is an i...
06/02/2016 ∙ by Ludovic Trottier, et al. ∙ 0 ∙ share

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Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

The activation function is an important component in Convolutional Neura...
05/30/2016 ∙ by Ludovic Trottier, et al. ∙ 0 ∙ share

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Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network

Automatic sign language recognition is an open problem that has received...
03/19/2015 ∙ by Lucas Rioux-Maldague, et al. ∙ 0 ∙ share

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Philippe Giguère

Featured Co-authors

François Laviolette

Jean-François Lalonde

Abdeslam Boularias

Luca Ambrogioni

Marcel van Gerven

François Pomerleau

Cyrill Stachniss

Umut Güçlü

Chaitanya Mitash

Brahim Chaib-draa

Vladimır Kubelka

Lidar Scan Registration Robust to Extreme Motions

Accurate outdoor ground truth based on total stations

Evaluation of Skid-Steering Kinematic Models for Subarctic Environments

The Indian Chefs Process

Tree bark re-identification using a deep-learning feature descriptor

Learning to Match Templates for Unseen Instance Detection

Driving Datasets Literature Review

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals

Predicting GNSS satellite visibility from dense point clouds

Predicting GNSS satellite visibility from densepoint clouds

Large-scale 3D Mapping of Sub-arctic Forests

Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations

GQ-STN: Optimizing One-Shot Grasp Detection based on Robustness Classifier

Analysis of Robust Functions for Registration Algorithms

CELLO-3D: Estimating the Covariance of ICP in the Real World

Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images

Tree Species Identification from Bark Images Using Convolutional Neural Networks

Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection

Dictionary Learning for Robotic Grasp Recognition and Detection

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

Sign Language Fingerspelling Classification from Depth and Color Images using a Deep Belief Network