AUTONOMOUS DRIVING · DATA QUALITY
Better decisions
begin with better data.
Explore how the Vase Framework connects the data, data quality
to the tasks we perform and the goals we want to achieve.
01 / THE FRAMEWORK
Five layers.
Data quality perspective.
THE VASE FRAMEWORK
Task-Centric and Data Quality Framework.
Quality is meaningful when it fits a purpose.
CONNECTED BY DESIGN
Follow the relationships.
Explore a connection to see why the layers belong together.
STEP 1 OF 5
02 / PUT IT IN CONTEXT
Same data.
Different requirements.
Change the purpose and see what data quality dimension matters.
03 / THE RESEARCH BEHIND THE EXPLORER
A framework with
a path to evidence.
This explorer introduces the framework. The redundancy study develops one dimension through object-detection experiments.
THE FOUNDATION · 2025 ↗
A Novel Multi-layer Task-centric and Data Quality Framework for Autonomous Driving
Yuhan Zhou · Haihua Chen · Kewei Sha
THE REDUNDANCY STUDY · 2026 ↗Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
Yuhan Zhou · Mehri Sattari · Haihua Chen · Kewei Sha