Haptic technology has become a viable way to support operators in vehicular control. This paper investigates two different design philosophies for continuous haptic feedback to support drivers with curve negotiation. The first system, 'direct haptic assistance', is designed to yield best results when the driver gives way to the guidance forces on the steering wheel. The second, 'indirect haptic assistance', is designed to yield best results when the driver counter-acts the forces. The two designs were compared in a driving simulator experiment in which 27 subjects participated. Results show that both systems are helpful in case of low visibility, where the driver lacks sufficient preview of the curves. With normal visibility no improvements on performance were found, for either system. Further experiments are required to investigate the difference between the two approaches
Roundness is one of the most common features in machining. The minimum zone tolerance (MZT) approach provides the minimum roundness error, i.e. the minimum distance between the two concentric reference circles containing the acquired profile; more accurate form error estimation results in less false part rejections. MZT is still an open problem and is approached here by a Genetic Algorithm. Only few authors have addressed the definition of the search space center and size and its relationship with the dataset size, which greatly influence the inspection time for the profile measurement and the convergence speed of the roundness estimation algorithm for a given target accuracy. Experimental tests on certified roundness profiles, using the profile centroid as the search space center, have shown that the search space size is related to the number of dataset points and an optimum exists, which provides a computation time reduction up to an order of magnitude.
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