Quantifying Driver Distraction and Engagement Using Video Analytics
Project Information
The University of Wisconsin-Madison team is developing algorithms for video analytics that transform data to knowledge that can be used to formulate policy, design better human machine interfaces, address safety issues on roadways, and develop better insight into driver comprehension and interaction with roadway features and signage, among others.
Goals:
The main objective of this research study is to develop algorithms for video analysis that transform data to knowledge that can be used to formulate policy, design better human machine interfaces, address safety issues on roadways, and develop better insight into driver comprehension and interaction with roadway features and signage, among others.
- Exploratory Advanced Research
- FY 2002-2022 / Safety / Human Factors Analytics
AMRP = Annual Modal Research Plan