Sökning: "autonomous navigation"

Visar resultat 6 - 10 av 181 uppsatser innehållade orden autonomous navigation.

1. 6. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Raahitya Botta; Aditya Aditya; [2023]
   Nyckelord :Artificial Intelligence AI ; Dataset; Deep learning; Object detection; Pedestrian detection; Performance analysis; Self-driving vehicles.;

   Sammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER

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

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

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

   Sammanfattning : 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. LÄS MER

4. 8. AUV SLAM for Algae Farm Inspection : 3D Mosaicing using Sonar-Based SLAM

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

   Författare :Julian Valdez; [2023]
   Nyckelord :;

   Sammanfattning : The progression of seaweed farming and cultivation to an industrial scale relies on automating its processes. Utilization of Autonomous Underwater Vehicle (AUV) can enable this process through their capacity to automate crop and structural inspections. LÄS MER

5. 9. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

   Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Isaac Arnold McSey; [2023]
   Nyckelord :Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

   Sammanfattning : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. LÄS MER

7. 10. MmWave Radar-based Deep Learning Collision Prediction

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

   Författare :Taylor Lauren V'dovec; [2023]
   Nyckelord :collision prediction; mmWave radar; deep learning; variational autoencoder VAE ; drone; autonomous navigation; kollisionsprognos; mmWave radar; djupinlärning; variational autoencoder VAE ; drönare; autonom navigation;

   Sammanfattning : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. LÄS MER