Essays about: "AUTOMOTIVE COMPARISON"

Showing result 1 - 5 of 113 essays containing the words AUTOMOTIVE COMPARISON.

  1. 1. Lateral Control of Heavy Vehicles

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Aravind Jawahar; Lokesh Palla; [2023]
    Keywords : Path Tracking; Collision Avoidance; Pure Pursuit; Stanley; Linear Quadratic Regulator; Sliding Mode Control; Model Predictive Control; Path Tracking; Collision Avoiding; Pure Pursuit; Stanley; Linear Quadratic Regulator; Sliding Mode Control; Model Predictive Control;

    Abstract : The automotive industry has been involved in making vehicles autonomous to different levels in the past decade rapidly. Particularly in the commercial vehicle market, there is a significant necessity to make trucks have a certain level of automation to help reduce dependence on human efforts to drive. READ MORE

  3. 2. The industry adoption of innovative safety-analysis approaches for autonomous vehicles : A case study exploring the industry adoption of model-based safety analysis

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Sam Khogasteh; [2023]
    Keywords : ;

    Abstract : In recent years, autonomous vehicles have been gaining traction as a technology that can revolutionize society and save approximately $800 billion per year in the U.S. alone. However, due to their complex and dynamic behavior, ensuring the safety of these vehicles has proven to be a challenge for traditional safety analysis methods. READ MORE

  4. 3. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Christopher Gauffin; [2023]
    Keywords : Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

    Abstract : 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. READ MORE

  5. 4. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ziyou Li; [2023]
    Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

    Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE

  6. 5. Predicting power demand and optimizing energy management for fuel cell battery hybrid construction vehicles

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Abhishek Karthikeyan; [2023]
    Keywords : Fuel cell; Construction Vehicle; Energy management; Optimization; Model Predictive Control; Load prediction; Auto-correlation; Bränslecell; Byggfordon; Energihantering; Optimering; Modellförutsägande reglering; Belastningsprediktion; Autokorrelation;

    Abstract : The automotive industry has been actively seeking ways to reduce emissions and combat global warming. While pure battery electric vehicles have shown promise in achieving zero-tailpipe emissions, they face challenges in meeting the energy demands of large construction machines like excavators and wheel loaders, due to the heavy batteries required. READ MORE