Siedersberger et al. 2001: A novel perception system for autonomous navigation on low
level roads and open terrain is presented. Built within the framework of the
US-German ‘AutoNav’ project, it combines UBM’s object oriented techniques,
known as the 4D approach to machine perception (EMS-Vision), with Sarnoff’s
hierarchical stereo processing. The Vision Front End 200, a specially designed
hardware device for real-time image processing, computes and evaluates 320 x
240 pixel disparity maps at 25 frames per second. A key element for this step
is the calculation of the horopter, a virtual plane that is automatically
locked to the ground plane. For improved reliability, the VFE 200 results are
integrated over time in a grid-based terrain representation. Obstacle
information can then be extracted. The system’s situation assessment generates
a situation representation that consists of so-called situation aspects
assigning symbolic attributes to scene objects. The behavior decision module
combines this information with knowledge about its own body and behavioral
capabilities to autonomously control the vehicle.
The system has been integrated into the experimental vehicle VaMoRs for autonomous mobility through machine perception. In a series of experiments, both positive and negative obstacles have been avoided at speeds of up to 16 km/h (10 mph).