Sökning: "examensarbete fordon"
Visar resultat 1 - 5 av 346 uppsatser innehållade orden examensarbete fordon.
1. Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes : Reducing the Conservativeness in Data-Driven Pedestrian Predictions by Incorporating Their Behavior
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Predicting the future state occupancies of pedestrians in urban scenarios is a challenging task, especially considering that conventional methods need an explicit model of the system, hence introducing data-driven reachability analysis. Data-driven reachability analysis uses data, inherently produced by an unknown system, to perform future state predictions using sets, generally represented by zonotopes. LÄS MER
2. Design and Packaging of All-in-One Axle
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : The aim of this thesis work is to design an electric axle that contains all the operational components, like the powertrain, suspension, brakes, and steering system. One of the requirements of this design work is to package all the axle components compactly in one single unit. LÄS MER
3. Modellering och Simulering av Värmehanteringssystem för Batteridrivna Elektriska Fordon (BEV)
M1-uppsats, KTH/ProduktionsutvecklingSammanfattning : I detta examensarbete simuleras ett värmehanteringssystem i Matlab Simulink för en elektrisk lastbil, det för att värmehantera fordonets klimat. Där en värmepump används för nedkylning av kupé och batteri samt en PTC (elektrisk värmare) för uppvärmning av detsamma. LÄS MER
4. Design and implementation of an affordable reversing camera system with object detection and OBD-2 integration for commercial vehicles
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : This thesis is about designing and implementing an affordable reversing camera sys-tem with object detection and OBD-2 integration for commercial vehicles. The aim is to improve the safety and efficiency of these vehicles by giving drivers a clear view of their surroundings behind the vehicle and alerting them to the presence of nearby obstacles. LÄS MER
5. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. LÄS MER