Optical truck tracking for autonomous platooning

Abstract

Platooning applications require precise knowledge about position and orientation (pose) of the leading vehicle. We present an optical solution for a robust pose estimation using artificial markers and a camera as the only sensor. Temporal coherence of image sequences is used in a Kalman filter to obtain precise estimates. The system is designed for and tested in off-road scenarios. A pose evaluation is performed in a simulation testbed.