22 citations · 22 across the 2 of their papers we have counts for
4 papers
SAM-Enhanced Segmentation on Road Datasets: Balancing Critical Classes in Autonomous Driving
Toomas Tahves, Mauro Bellone, Junyi Gu +1
Dense semantic segmentation is essential for autonomous driving, yet many multi-modal datasets lack pixel-level annotations. The Zenseact Open Dataset (ZOD) provides rich multi-sen…
PCICF: A Pedestrian Crossing Identification and Classification Framework
Junyi Gu, Beatriz Cabrero-Daniel, Ali Nouri +2
We have recently observed the commercial roll-out of robotaxis in various countries. They are deployed within an operational design domain (ODD) on specific routes and environmenta…
A Novel Vision Transformer for Camera-LiDAR Fusion based Traffic Object Segmentation
Toomas Tahves, Junyi Gu, Mauro Bellone +1
This paper presents Camera-LiDAR Fusion Transformer (CLFT) models for traffic object segmentation, which leverage the fusion of camera and LiDAR data using vision transformers. Bui…
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous Driving
Junyi Gu, Mauro Bellone, Tomáš Pivoňka +1
Critical research about camera-and-LiDAR-based semantic object segmentation for autonomous driving significantly benefited from the recent development of deep learning. Specificall…