activity
20182023
most citedBuilding an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution

139 citations · 180 across the 14 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.RO2019★ 139 cited

Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution

Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard +25

The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency…

cs.CV2019★ 32 cited

Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description

Assia Benbihi, Stéphanie Aravecchia, Matthieu Geist +1

Most of the research effort on image-based place recognition is designed for urban environments. In bucolic environments such as natural scenes with low texture and little semantic…

stat.AP2019

Learning Sensor Placement from Demonstration for UAV networks

Assia Benbihi, Matthieu Geist, Cédric Pradalier

This work demonstrates how to leverage previous network expert demonstrations of UAV deployment to automate the drones placement in civil applications. Optimal UAV placement is an…

cs.RO2019

Robust Monocular Edge Visual Odometry through Coarse-to-Fine Data Association

Xiaolong Wu, Patricio Vela, Cedric Pradalier

In this work, we propose a monocular visual odometry framework, which allows exploiting the best attributes of edge feature for illumination-robust camera tracking, while at the sa…

cs.CV2019

ELF: Embedded Localisation of Features in pre-trained CNN

Assia Benbihi, Matthieu Geist, Cédric Pradalier

This paper introduces a novel feature detector based only on information embedded inside a CNN trained on standard tasks (e.g. classification). While previous works already show th…

cs.CV2019★ 6 cited

Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry

Xiaolong Wu, Assia Benbihi, Antoine Richard +1

Recent advances in deep learning for edge detection and segmentation opens up a new path for semantic-edge-based ego-motion estimation. In this work, we propose a robust monocular…