Most biological systems employ visually acquired information for their locomotion. In the course of evolutionary history, the visual system of organisms has evolved to be adapted to the environment. As a consequence of this adaptation, biological systems often display highly efficient visual skills. This reasoning has motivated the development of a specific visual system, which serves the purpose of navigation in an unusual environment ? a sewer. The sewer environment exhibits two dominating features: restricted geometry of its inner surfaces and absolute darkness. These features are exploited by the hybrid vision system of the autonomous robot consisting of a crosshair laser projector and a camera. If a priori knowledge about the sewer geometry is taken into account, orientation of the robot can be derived from a visual analysis of a regular laser pattern projected onto the sewer surface. Because the footprint image is acquired in an entirely dark environment, the camera records a mo...