Abstract
This chapter discusses the issue of machine perception from the perspective of a system design process. The three issues of information gathering, data representation and reasoning are discussed, leading to a general high-level model of the problem. The model is intended to be generic enough to allow a wide variety of tasks to be performed using a single set of sensory data. It is argued that the model has a direct correspondence with some recent biological models. Finally, an application is presented showing how the model may be applied to solving real-world problems, specifically an autonomous system operating in outdoor unstructured environments.
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Scheding, S., Grover, R., Durrant-Whyte, H. (2007). Machine Perception in Unstructured and Unknown Environments. In: Jefferies, M.E., Yeap, WK. (eds) Robotics and Cognitive Approaches to Spatial Mapping. Springer Tracts in Advanced Robotics, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75388-9_5
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DOI: https://doi.org/10.1007/978-3-540-75388-9_5
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