123D framework unifies autonomous driving datasets with single API

Researchers have introduced 123D, an open-source framework designed to unify diverse multi-modal autonomous driving datasets. This framework addresses the fragmentation and inconsistencies in existing datasets by providing a single API for accessing various sensor data like cameras, lidar, and HD maps. 123D enables cross-dataset analysis and model transfer by standardizing synchronization and annotation conventions, consolidating eight real-world and one synthetic dataset for comprehensive study and application development. AI

影响 Standardizes diverse autonomous driving data, enabling more robust model training and cross-dataset generalization.

排序理由 The cluster describes a new academic paper detailing a data unification framework for autonomous driving research. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

• autonomous driving
• robotics
• 123D

• 论文
• 基础设施

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