Sökning: "test vehicle"
Visar resultat 1 - 5 av 731 uppsatser innehållade orden test vehicle.
1. On Systematically Exploring the State Space for Events with SFCs
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In the process of developing autonomous driving systems (AD systems), ensuring safety remains a constant and continuous priority. Scenario-based testing is a popular approach to guarantee the safety of AD systems, which however meets challenges in terms of diversity and efficiency of generation, as well as evaluating existing test case datasets in terms of their coverage of the different variations of a particular maneuver. LÄS MER
2. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). LÄS MER
3. DRIVER ENGAGEMENT User experience of static & dynamic interaction and engagement in Non-Driving Related Activities in Automated Vehicles - An experimental study
Kandidat-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : The rapid development of automation in vehicles is reshaping the role of the driver and consequently changing driver behavior. This study is based on the SAE level 4 of automation, i.e the autonomous vehicle (AV) can drive fully autonomously in a conditioned area. LÄS MER
4. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER
5. Customizable Contraction Hierarchies for Mixed Fleet Vehicle Routing : Fast weight customization when not adhering to triangle inequality
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As the transport industry shifts towards Battery Electric Vehicles (BEVs) the need for accurate route planning rises. BEVs have reduced range compared to traditional fuel based vehicles, and the range can vary greatly depending on ambient conditions and vehicle load. LÄS MER