CVApr 29, 2023
CARLA-BSP: a simulated dataset with pedestrians
arXiv:2305.00204v13 citationsh-index: 14
Originality Synthesis-oriented
AI Analysis
This dataset addresses the need for simulated pedestrian data for computer vision tasks, but it is incremental as it builds on existing simulation tools.
The authors introduced a simulated dataset with pedestrians generated using the ARCANE framework in CARLA, providing use cases for tasks like pedestrian detection and pose estimation, and included baseline results.
We present a sample dataset featuring pedestrians generated using the ARCANE framework, a new framework for generating datasets in CARLA (0.9.13). We provide use cases for pedestrian detection, autoencoding, pose estimation, and pose lifting. We also showcase baseline results. For more information, visit https://project-arcane.eu/.