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Structure and ground plane extraction from optical flow

Training the classifier requires ground truth data. We have investigated the use of advanced rendering techniques for generation of ground truth motion fields from synthetic images [3]. The DIPLECS project The DIPLECS project entails the design of a cognitive system capable of learning and adapting to everyday situations, with particular application to driving scenarios. One of the goals of the project is to use computer vision, and especially optical flow information, as a tool for analysing inputs from different operating environments (e.g. road surface, non-navigable regions, obstacles). A mobile platform has been constructed, which is used for demonstrating our developed approaches to learning. It is based on a standard RC car platform, fitted with a camera and an on-board mechanism for recording images, control signals and sensor readings. See Fig. 1.