The aim of the Master?s Thesis work is to study and develop algorithms for autonomous travel of a UGV (Unmanned Ground Vehicle). A vehicle for the mounting of sensors has been constructed in order to perform the work. Since the UGV is to be used outdoor in urban areas, GPS can be used. To improve precision and robustness, inertial navigation is used in addition to GPS, since GPS reception is likely to be diminished in such areas.

The main purpose of this bachelor thesis is to create a product in the form of a database that can be used for cost estimates of equipment within bio refineries. Through interviews and literature searches the key components and their costs were identified. The database was constructed in Microsoft Excel with different tabs for different categories of components; these tabs are further divided into three parts: one part with costs, one part with calculations and an information part. Most of the part with costs contains the expenses found in scientific papers during the literature study, the calculating part converts different capacities according to user preferences and the currency to euro (?) from 2010 and the information part consists of references and information about what is included in the cost.The database is a good tool for making cost estimates for bio refineries.

I denna rapport redogörs för en implementering av fusion mellan kortdistanssensorer. Syftet med denna implementering är att erhålla Stop & Go-funktionalitet till den adaptiva farthållaren som idag finns som tillval i Scanias lastbilar. Adaptiv farthållning, ACC, är en funktion som automatiskt anpassar fordonets hastighet ifall detta kommer ikapp ett annat fordon som färdas långsammare än den inställda hastigheten. Scanias system använder sig idag av en långdistanssensor som ser långt men har smalt synfält. Genom att komplettera denna med kortdistanssensorer, som ser kort men brett, kan önskvärt synfält i närområdet för att säkert kunna implementera Stop & Go-funktionen uppnås.