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Inertial surveying was originally emerged and developed with the inertial navigation technology in 1960's and 1970's. Today only some marginal applications of inertial surveying still exist, e.g. gravity gradiometry, pipeline surveying, etc. With the blooming of low cost inertial sensors/systems in the past two decades, especially the evolutions of fiber optical gyro (FOG) and MEMS gyros, inertial...
An advanced method for road course estimation is presented. It is based on the state-of-the-art Kalman filter lane detection and allows for a robust sensor-based estimation of road courses in great distances. Only the parameters for the road course are estimated which results in a reduced parameter space and therewith more robustness. Instead of laterally displaced single feature points tangential...
A Gaussian Sum Filter (GSF) with component extended Kalman filters (EKF) is proposed as an approach to localize an autonomous vehicle in an urban environment with limited GPS availability. The GSF uses vehicle relative vision-based measurements of known map features coupled with inertial navigation solutions to accomplish localization in the absence of GPS. The vision-based measurements are shown...
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