96 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre de Robotique28 papers
- École Nationale Supérieure des Mines de ParisFR8 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Sorbonne UniversitéFR6 papers
- Université Paris Sciences et LettresFR5 papers
- Aix-Marseille UniversitéFR4 papers
- CEA Paris-SaclayFR4 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR4 papers
- Observatoire de la Côte d’AzurFR4 papers
- Université Paris CitéFR4 papers
- Valeo (France)FR4 papers
- École Normale Supérieure - PSLFR3 papers
13 papers · 1 filter
HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic Segmentation
Samir Abou Haidar, Alexandre Chariot, Mehdi Darouich +2
LiDAR semantic segmentation is crucial for autonomous vehicles and mobile robots, requiring high accuracy and real-time processing, especially on resource-constrained embedded syst…
MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models
Guillaume Balezo, Roger Trullo, Albert Pla Planas +2
Histopathological analysis is a cornerstone of cancer diagnosis, with Hematoxylin and Eosin (H&E) staining routinely acquired for every patient to visualize cell morphology and tis…
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous Driving
Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette
Domain generalization aims to find ways for deep learning models to maintain their performance despite significant domain shifts between training and inference datasets. This is pa…
AVS-Net: Audio-Visual Scale Net for Self-supervised Monocular Metric Depth Estimation
Xiaohu Liu, Sascha Hornauer, Fabien Moutarde +1
Metric depth prediction from monocular videos suffers from bad generalization between datasets and requires supervised depth data for scale-correct training. Self-supervised traini…
HD-OOD3D: Supervised and Unsupervised Out-of-Distribution object detection in LiDAR data
Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette
Autonomous systems rely on accurate 3D object detection from LiDAR data, yet most detectors are limited to a predefined set of known classes, making them vulnerable to unexpected o…
Holistic Parking Slot Detection with Polygon-Shaped Representations
Lihao Wang, Antonyo Musabini, Christel Leonet +6
Current parking slot detection in advanced driver-assistance systems (ADAS) primarily relies on ultrasonic sensors. This method has several limitations such as the need to scan the…
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization
Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette
Supervised 3D Object Detection models have been displaying increasingly better performance in single-domain cases where the training data comes from the same environment and sensor…
Self-Improving SLAM in Dynamic Environments: Learning When to Mask
Adrian Bojko, Romain Dupont, Mohamed Tamaazousti +1
Visual SLAM - Simultaneous Localization and Mapping - in dynamic environments typically relies on identifying and masking image features on moving objects to prevent them from nega…
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator
Jean-Emmanuel Deschaud
KITTI-CARLA is a dataset built from the CARLA v0.9.10 simulator using a vehicle with sensors identical to the KITTI dataset. The vehicle thus has a Velodyne HDL64 LiDAR positioned…
Asymmetrical Bi-RNN for pedestrian trajectory encoding
Raphaël Rozenberg, Joseph Gesnouin, Fabien Moutarde
Pedestrian motion behavior involves a combination of individual goals and social interactions with other agents. In this article, we present an asymmetrical bidirectional recurrent…
Joint interpretation of on-board vision and static GPS cartography for determination of correct speed limit
Alexandre Bargeton, Fabien Moutarde, Fawzi Nashashibi +1
We present here a first prototype of a "Speed Limit Support" Advance Driving Assistance System (ADAS) producing permanent reliable information on the current speed limit applicable…
Modular Traffic Sign Recognition applied to on-vehicle real-time visual detection of American and European speed limit signs
Fabien Moutarde, Alexandre Bargeton, Anne Herbin +1
We present a new modular traffic signs recognition system, successfully applied to both American and European speed limit signs. Our sign detection step is based only on shape-dete…
Introducing New AdaBoost Features for Real-Time Vehicle Detection
Bogdan Stanciulescu, Amaury Breheret, Fabien Moutarde
This paper shows how to improve the real-time object detection in complex robotics applications, by exploring new visual features as AdaBoost weak classifiers. These new features a…