, Professor, UMD-Electrical Engineering
The use of rumble strips on roads has proven to be an effective means of providing drivers with lane-departure warning (LDW). However, rumble strips require an infrastructure and do not exist on a majority of roadways. Furthermore, it?s difficult to determine where to establish the rumble-strip distance threshold. To develop an effective virtual rumble-strip LDW system for which the rumble-strip threshold is allowed to vary according to the risk of the vehicle departing the road, it is essential to know the vehicle?s lateral characteristics--in particular, the vehicle?s lateral position and speed. This research used image processing via an in-vehicle camera to estimate the vehicle?s lateral position and speed. The lateral position is estimated by determining the vehicle?s heading angle via a homography and the Lucas-Kanade optical flow techniques; while the lateral speed is determined via the heading
angle and the vehicle?s on-board diagnostic (OBD)-II forward-speed data access. The approach detailed in this research will need only the minimal set of information to
characterize the vehicle lateral characteristics, therefore, making it more feasible in a vehicle application.
- Project number: 2011014
- Start date: 07/2010
- Project status: Completed
- Research area: Transportation Safety and Traffic Flow