4 papers
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?
Cristian Sbrolli, Paolo Cudrano, Matteo Matteucci
Recent advancements in deep generative models, particularly with the application of CLIP (Contrastive Language Image Pretraining) to Denoising Diffusion Probabilistic Models (DDPMs…
RadarLCD: Learnable Radar-based Loop Closure Detection Pipeline
Mirko Usuelli, Matteo Frosi, Paolo Cudrano +2
Loop Closure Detection (LCD) is an essential task in robotics and computer vision, serving as a fundamental component for various applications across diverse domains. These applica…
Continual Cross-Dataset Adaptation in Road Surface Classification
Paolo Cudrano, Matteo Bellusci, Giuseppe Macino +1
Accurate road surface classification is crucial for autonomous vehicles (AVs) to optimize driving conditions, enhance safety, and enable advanced road mapping. However, deep learni…
Advances in centerline estimation for autonomous lateral control
Paolo Cudrano, Simone Mentasti, Matteo Matteucci +3
The ability of autonomous vehicles to maintain an accurate trajectory within their road lane is crucial for safe operation. This requires detecting the road lines and estimating th…