Sökning: "ego-vehicle"

Visar resultat 1 - 5 av 23 uppsatser innehållade ordet ego-vehicle.

  1. 1. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Puya Faghi; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 2. Trajectory Optimization of Smart City Scenarios Using Learning Model Predictive Control

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Mustafa Al-Janabi; [2023]
    Nyckelord :LMPC; multi-agent control; Smart City; Data-driven Control; multi-level autonomy; LMPC; smarta städer; multiagentsystem; datadriven reglerteknik;

    Sammanfattning : Smart cities embrace cutting-edge technologies to improve transportation efficiency and safety. With the rollout of 5G and an ever-growing network of connected infrastructure sensors, real-time road condition awareness is becoming a reality. However, this progress brings new challenges. LÄS MER

  4. 3. Interaction Aware Decision Making for Automated Vehicles Based on Reinforcement Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ning Wang; [2022]
    Nyckelord :Reinforcement Learning; Automated Vehicles; Decision-making; Rollout; Driver Behaviour Modeling; Trajectory Prediction; Förstärkningsinlärning; automatiserade fordon; beslutsfattande; utrullning; modellering av förarbeteende; banförutsägelse;

    Sammanfattning : Decision-making is one of the key challenges blocking full autonomy of automated vehicles. In highway scenarios, automated vehicles are expected to be aware of their surroundings and make decisions by interacting with other road participants to drive safely and efficiently. LÄS MER

  5. 4. Finding uncertainty of sensor fusion in automotive driving

    Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Författare :kwizera Schadrack; Jude Jayasuriya; [2022]
    Nyckelord :sensor fusion; automotive driving; autonomous vehicles;

    Sammanfattning : Human error has been the most common cause of car accidents. Advances in sensing and data fusion have made recent progress in autonomous vehicles that will increase the potential of drastically improving safety, efficiency, and cost of transportation. LÄS MER

  7. 5. Jointly Ego Motion and Road Geometry Estimation for Advanced Driver Assistance Systems

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Jawaria Asghar; [2021]
    Nyckelord :autonomous car; ego-vehicle; road geometry; estimation; Advanced Driver Assistance Systems; sensor fusion; Unscented Kalman Filter.;

    Sammanfattning : For several years, there has been a remarkable increase in efforts to develop an autonomous car. Autonomous car systems combine various techniques of recognizing the environment with the help of the sensors and could drastically bring down the number of accidents on road by removing human conduct errors related to driver inattention and poor driving choices. LÄS MER