Sökning: "Vehicle systems"
Visar resultat 1 - 5 av 1041 uppsatser innehållade orden Vehicle systems.
1. Preliminary study on potential material movement with AGV systems - A case study at Batterifabrik AB
Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakultetenSammanfattning : Rapporten är en förstudie som kan använda av Batterifabrik AB när de tar beslut om de ska implementera AGV i deras produktion. ... LÄS MER
2. Vehicle dynamics modelling of electromagnetic suspensions for MAGLEV applications
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : MAGnetic LEVitation Guidance System (MAGLEV) technology was commercially introduced relatively recently in the guided transport field. It is based on removing the wheels and rails of classic railway systems and supporting and guiding the train with magnets and magnetic forces instead. LÄS MER
3. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. LÄS MER
4. Early-Stage Validation of Autonomous Vehicles in Ambiguous Environments : A Systems-Theoretic Process Analysis (STPA) of an Autonomous Military Defense Industry Vehicle
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : This report delves into the early developmental phase of an autonomous vehicle designed for defense applications. Navigating diverse terrains, this unmanned ground vehicle (UGV) poses unique challenges, particularly in the absence of clearly defined directives found in typical traffic scenarios. LÄS MER
5. Audio Anomaly Detection in Cars
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER