6 citations · 8 across the 5 of their papers we have counts for
12 papers
A Hybrid Cable-Driven Robot for Non-Destructive Leafy Plant Monitoring and Mass Estimation using Structure from Motion
Gerry Chen, Harsh Muriki, Cédric Pradalier +2
We propose a novel hybrid cable-based robot with manipulator and camera for high-accuracy, medium-throughput plant monitoring in a vertical hydroponic farm and, as an example appli…
Object-Guided Day-Night Visual Localization in Urban Scenes
Assia Benbihi, Cédric Pradalier, Ondřej Chum
We introduce Object-Guided Localization (OGuL) based on a novel method of local-feature matching. Direct matching of local features is sensitive to significant changes in illuminat…
Tackling Inter-Class Similarity and Intra-Class Variance for Microscopic Image-based Classification
Aishwarya Venkataramanan, Martin Laviale, Cécile Figus +2
Automatic classification of aquatic microorganisms is based on the morphological features extracted from individual images. The current works on their classification do not conside…
How To Train Your HERON
Antoine Richard, Stephanie Aravecchia, Thomas Schillaci +2
In this paper we apply Deep Reinforcement Learning (Deep RL) and Domain Randomization to solve a navigation task in a natural environment relying solely on a 2D laser scanner. We t…
A Study on Trees's Knots Prediction from their Bark Outer-Shape
Mejri Mohamed, Antoine Richard, Cedric Pradalier
In the industry, the value of wood-logs strongly depends on their internal structure and more specifically on the knots' distribution inside the trees. As of today, CT-scanners are…
A Survey On 3D Inner Structure Prediction from its Outer Shape
Mohamed Mejri, Antoine Richard, Cédric Pradalier
The analysis of the internal structure of trees is highly important for both forest experts, biological scientists, and the wood industry. Traditionally, CT-scanners are considered…