Essays about: "thesis on navigation safety"

Showing result 1 - 5 of 36 essays containing the words thesis on navigation safety.

  1. 1. A Comparative Analysis of User Interfaces in the Calling Functionality of Infotainment Systems among Popular Cars in Romania : Investigating UX and Usability Design Principles for In-car Infotainment Systems.

    University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

    Author : Semi Kandiyoti Eskenazi; Bogdana-Floriana Cimpan; [2023]
    Keywords : Car infotainment systems; User experience; Calling functionality; Interface design; Human-Machine Interface HMI ; European Statement of Principles on HMI; Driver distraction; Road safety; Design patterns.;

    Abstract : As cars become more integrated into people’s lives, the design of in-car infotainment systems has become increasingly important. This thesis explores the user experience and Usability design principles of the calling functionality within the infotainment systems of five of the most common cars in Romania. READ MORE

  3. 2. Human-Machine Interaction within Teleoperation of Autonomous Vehicles : Designing Remote Operation from A User Experience Perspective

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

    Author : Agnes Henriksson; Josefine Rehnmark; [2023]
    Keywords : Autonomy; Remote operation; User Experience; Interaction Design; Telepresence; Situation Awareness; Safety; Trucks; Construction equipment; Autonomi; Fjärrstyrning; Användarupplevelse; Interaktionsdesign; Telenärvaro; Situationsmedvetenhet; Säkerhet; Lastbilar; Maskiner;

    Abstract : The automotive industry has seen an uprise in autonomous vehicles that will change the operators’ work environment. Volvo Autonomous Solutions aims to create a seamless user experience with environmentally and socially sustainable solutions. READ MORE

  4. 3. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS

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

    Author : Puya Faghi; [2023]
    Keywords : Lane estimation; Lane detection; Map-matching; Sensor fusion; Smart camera; Vehicle Radar; Intelligent vehicle systems; Körfältsestimering; Körfältsdetektering; Kartmatchning; Sensorfusion; Smart Kamera; Radar system; Fordonsradar; Intelligenta fordonssystem;

    Abstract : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. READ MORE

  5. 4. The ecological impact of artificial light at night in landscape architecture : strategies and guidelines for street lights for the benefit of biodiversity and local wildlife

    University essay from SLU/Dept. of Urban and Rural Development

    Author : Zozan Altun; [2023]
    Keywords : light pollution; artificial light at night; ecology; biodiversity; local wildlife; landscape architecture; guidelines; strategies;

    Abstract : Artificial light at night (ALAN) is an increasingly common form of light pollution that contributes to biodiversity loss, loss of dark habitats, disrupting populations both on an individual- and population level by invading biodiversity hot spots. Recent studies show that artificial light is increasing at a rate of approximately 6% annually over Earth’s surface, and 88% of Europe and 47% of the United States experience light pollution on a nightly basis. READ MORE

  6. 5. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

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

    Author : Victor Sanchez; [2023]
    Keywords : Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

    Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE