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Eucalyptus represents one of the main sources of raw material in Brazil, and each year substantial losses estimated at $400 million occur due to diseases. The active monitoring of eucalyptus crops can help getting accurate information about contaminated areas, in order to improve response time. Unmanned aerial vehicles (UAVs) provide low-cost data acquisition and fast scanning of large areas, however...
Material transportation is one of the most important aspects of open-pit mine operations. The problem usually involves a truck dispatching system in which decisions on truck assignments and destinations are taken in real-time. Due to its significance, several decision systems for material transportation in open-pit mining have been developed in the last few years, improving productivity and reducing...
Observing human motion patterns is informative for social robots that share the environment with people. This paper presents a methodology to allow a robot to navigate in a complex environment by observing pedestrian positional traces. A continuous probabilistic function is determined using Gaussian process learning and used to infer the direction a robot should take in different parts of the environment...
This paper describes a method of incorporating sensor and localisation uncertainty into contextual occupancy maps to provide for robust mapping. This paper builds on a recently proposed application of the Gaussian process (GP) to occupancy mapping. An extension of GPs is employed which incorporates uncertain inputs into the covariance function. In turn, this allows statistically consistent, multi-resolution...
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