3 papers
cs.CV2025
LiDAS: Lighting-driven Dynamic Active Sensing for Nighttime Perception
Simon de Moreau, Andrei Bursuc, Hafid El-Idrissi +1
Nighttime environments pose significant challenges for camera-based perception, as existing methods passively rely on the scene lighting. We introduce Lighting-driven Dynamic Activ…
cs.CV2025
LED: Light Enhanced Depth Estimation at Night
Simon de Moreau, Yasser Almehio, Andrei Bursuc +3
Nighttime camera-based depth estimation is a highly challenging task, especially for autonomous driving applications, where accurate depth perception is essential for ensuring safe…
cs.CV2025
DOC-Depth: A novel approach for dense depth ground truth generation
Simon de Moreau, Mathias Corsia, Hassan Bouchiba +4
Accurate depth information is essential for many computer vision applications. Yet, no available dataset recording method allows for fully dense accurate depth estimation in a larg…