2 papers
cs.CV2025
LiLa-Net: Lightweight Latent LiDAR Autoencoder for 3D Point Cloud Reconstruction
Mario Resino, Borja Pérez, Jaime Godoy +2
This work proposed a 3D autoencoder architecture, named LiLa-Net, which encodes efficient features from real traffic environments, employing only the LiDAR's point clouds. For this…
cs.RO2023
Evaluating the acceptance of autonomous vehicles in the future
Angel Madridano Carrasco, Delgermaa Gankhuyag, Miguel Angel de Miguel Paraiso +3
The continuous advance of the automotive industry is leading to the emergence of more advanced driver assistance systems that enable the automation of certain tasks and that are un…