Sökning: "Active Safety System evaluation"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden Active Safety System evaluation.
1. Rotor temperature estimation in Induction Motors with Supervised Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. LÄS MER
2. Syntax-Based Dependency Discovery : Extracting Dependencies Between Integration Test Cases for Passive Testing
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Modern-day vehicles consist of numerous electronic computing devices with accompanying software. Since vehicles are generally classified as safety-critical systems, rigorous testing strategies have to be deployed to ensure correct operation of the embedded software. LÄS MER
3. Internet för högstadiet : Utveckling av en lärarhandledning
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Arbetet som presenteras i rapporten beskriver utvecklingen av en lärarhandledning för undervisning om internet. Bakgrunden är kraven i grundskolans läroplan (Lgr22), och mer specifikt kursplanen i Teknik för årskurs 7-9, på att avhandla internet i undervisningen. LÄS MER
4. Design and Simulation of a 10kW High-Efficiency Dual Active Bridge Converter
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The EU has proposed an ambitious goal to achieve widespread E-mobility in both the electrical and commercial sectors. To accomplish this, a substantial number of DC fast-charging stations must be built. LÄS MER
5. Safe Reinforcement Learning for Human-Robot Collaboration : Shielding of a Robotic Local Planner in an Autonomous Warehouse Scenario
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement Learning (RL) is popular to solve complex tasks in robotics, but using it in scenarios where humans collaborate closely with robots can lead to hazardous situations. In an autonomous warehouse, mobile robotic units share the workspace with human workers which can lead to collisions, because the positions of humans or non-static obstacles are not known by the robot. LÄS MER