16 citations · 16 across the 4 of their papers we have counts for
5 papers
Ev-YOLO: Uncertainty-Aware Object Detection via a Unified Evidential Formulation
Simon Barbarit-Gaboriau, Hind Laghmara, Rémi Boutteau +1
Reliable uncertainty estimation is essential for deploying object detectors in autonomous systems operating in uncertain environments. Evidential Deep Learning (EDL) provides a pri…
Steering Prediction via a Multi-Sensor System for Autonomous Racing
Zhuyun Zhou, Zongwei Wu, Florian Bolli +5
Autonomous racing has rapidly gained research attention. Traditionally, racing cars rely on 2D LiDAR as their primary visual system. In this work, we explore the integration of an…
Event-Free Moving Object Segmentation from Moving Ego Vehicle
Zhuyun Zhou, Zongwei Wu, Danda Pani Paudel +5
Moving object segmentation (MOS) in dynamic scenes is an important, challenging, but under-explored research topic for autonomous driving, especially for sequences obtained from mo…
RGB-Event Fusion for Moving Object Detection in Autonomous Driving
Zhuyun Zhou, Zongwei Wu, Rémi Boutteau +3
Moving Object Detection (MOD) is a critical vision task for successfully achieving safe autonomous driving. Despite plausible results of deep learning methods, most existing approa…
LiDAR point clouds correction acquired from a moving car based on CAN-bus data
Pierre Merriaux, Yohan Dupuis, Rémi Boutteau +2
In this paper, we investigate the impact of different kind of car trajectories on LiDAR scans. In fact, LiDAR scanning speeds are considerably slower than car speeds introducing di…