Sökning: "Körbarhet"
Visar resultat 1 - 5 av 13 uppsatser innehållade ordet Körbarhet.
1. Kaolin-based coating colors with different rheological and water retention properties : Runnability on a lab-and pilot scale
Master-uppsats, Karlstads universitet/Institutionen för ingenjörs- och kemivetenskaper (from 2013)Sammanfattning : Food packaging plays a crucial role in protecting and storing food to keep the products fresh and reduce waste. There is a need to increase the number of paper packages in the food industry to meet the growing demand. LÄS MER
2. The mechanism behind internal injector deposits
Master-uppsats, KTH/KemiteknikSammanfattning : Användningen av biobränslen har ökat för att minska utsläppen från fossila bränslen. Biobränslen kan dock leda till beläggningar inuti injektorn, vilka påverkar fordonets körbarhet. LÄS MER
3. A Study on the Impact of Traversability Measures on Rough Terrain Path Planning
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This thesis examines how the subspace of traversable paths is affected by extending the traditional definition of traversability, which solely considers the terrain topology, to also incorporate concern towards the vehicles configuration. Additionally, the effect of added consideration towards parameters such as roll, pitch, distance to target and ground clearance, are examined with respect to path planning and cabin comfort during operation. LÄS MER
4. Multi-Objective Optimization of Torque Distribution inHybrid Vehicles
Master-uppsats, KTH/FordonsdynamikSammanfattning : Electrification is one of the mega-trends in the transportation and automotive industry today. Boththe alarming environmental conditions and the ever decreasing fuel reserves are driving the shifttowards hybrid, all electric and alternative fuel source vehicles. LÄS MER
5. Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset
Master-uppsats, KTH/Robotik, perception och lärande, RPLSammanfattning : Autonomous vehicles face various challenges under difficult terrain conditions such as marginally rural or back-country roads, due to the lack of lane information, road signs or traffic signals. In this thesis, we investigate a novel approach of using Deep Neural Networks (DNNs) to classify off-road surfaces into the types of terrains with the aim of supporting autonomous navigation in unstructured environments. LÄS MER