187 citations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR6 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Université Clermont AuvergneFR3 papers
- Université LavalCA3 papers
- University of TorontoCA3 papers
- Institut PascalFR2 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR2 papers
- Observatoire de ParisFR2 papers
- Agrosystèmes tropicauxGP1 paper
- Basque Centre for Climate ChangeES1 paper
- Caltech Submillimeter ObservatoryUS1 paper
- Centre de Recherche en InformatiqueFR1 paper
7 papers · 1 filter
When and Where Localization Fails: An Analysis of the Iterative Closest Point in Evolving Environment
Abdel-Raouf Dannaoui, Johann Laconte, Christophe Debain +2
Robust relocalization in dynamic outdoor environments remains a key challenge for autonomous systems relying on 3D lidar. While long-term localization has been widely studied, shor…
Toward a Better Understanding of Robot Energy Consumption in Agroecological Applications
Alexis Bras, Alix Montanaro, Cyrille Pierre +2
In this paper, we present a comprehensive analysis and discussion of energy consumption in agricultural robots. Robots are emerging as a promising solution to address food producti…
Collision-Aware Traversability Analysis for Autonomous Vehicles in the Context of Agricultural Robotics
Florian Philippe, Johann Laconte, Pierre-Jean Lapray +2
In this paper, we introduce a novel method for safe navigation in agricultural robotics. As global environmental challenges intensify, robotics offers a powerful solution to reduce…
Under Pressure: Altimeter-Aided ICP for 3D Maps Consistency
William Dubois, Nicolas Samson, Effie Daum +2
We propose a novel method to enhance the accuracy of the Iterative Closest Point (ICP) algorithm by integrating altitude constraints from a barometric pressure sensor. While ICP is…
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm
Ziyu Zhang, Johann Laconte, Daniil Lisus +1
This paper presents a novel method for assessing the resilience of the ICP algorithm via learning-based, worst-case attacks on lidar point clouds. For safety-critical applications…
Risk-Aware Navigation for Mobile Robots in Unknown 3D Environments
Elie Randriamiarintsoa, Johann Laconte, Benoit Thuilot +1
Autonomous navigation in unknown 3D environments is a key issue for intelligent transportation, while still being an open problem. Conventionally, navigation risk has been focused…