A study to develop testing protocols for automotive PCS designed to prevent and mitigate animal-related vehicle crashes by examining crash data, collecting and analyzing naturalistic driving data, and radar scanning deer in order to better establish test parameters.
How can we develop testing protocols for automotive PCS designed to prevent and mitigate animal-related vehicle crashes?
We found that an in-vehicle animal detection system can help detect wildlife and create a safer environment for drivers, by providing warnings and even intervening with automatic braking, to either prevent or reduce the severity of wildlife collisions. This research effort collected many thousands of measurements of deer with sensors visible to modern radar and lidar systems. Initial statistical analysis provided insight to useful parameters for modeling deer, informing the design of systems to used to detect and track them.
This project is a collaboration with Virginia Tech Transportation Institute (VTTI) and Michigan Tech Research Institute (MTRI)