no code implementations • 16 Sep 2023 • Tiago Cortinhal, Idriss Gouigah, Eren Erdal Aksoy
Although LiDAR sensors are crucial for autonomous systems due to providing precise depth information, they struggle with capturing fine object details, especially at a distance, due to sparse and non-uniform data.
1 code implementation • 15 Feb 2023 • Tiago Cortinhal, Eren Erdal Aksoy
This work presents a new depth- and semantics-aware conditional generative model, named TITAN-Next, for cross-domain image-to-image translation in a multi-modal setup between LiDAR and camera sensors.
1 code implementation • 26 Jun 2021 • Tiago Cortinhal, Fatih Kurnaz, Eren Aksoy
The framework starts with semantic segmentation of the point cloud, which is initially projected onto a spherical surface.
5 code implementations • 7 Mar 2020 • Tiago Cortinhal, George Tzelepis, Eren Erdal Aksoy
In this paper, we introduce SalsaNext for the uncertainty-aware semantic segmentation of a full 3D LiDAR point cloud in real-time.
Ranked #17 on Robust 3D Semantic Segmentation on SemanticKITTI-C