Sökning: "examensarbete navigation"

Visar resultat 1 - 5 av 85 uppsatser innehållade orden examensarbete navigation.

1. 1. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

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

   Författare :Shihang Zhou; [2023]
   Nyckelord :Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

   Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER

3. 2. 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

4. 3. Velocity Obstacle method adapted for Dynamic Window Approach

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

   Författare :Florian Coissac; [2023]
   Nyckelord :Autonomous navigation; Local planning; Dynamic obstacle avoidance; ROS; Autonom navigering; Lokal planering; Dynamiskt undvikande av hinder; ROS;

   Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER

5. 4. The Interconnectivity Between SLAM and Autonomous Exploration : Investigation Through Integration

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

   Författare :Elliði Ívarsson; [2023]
   Nyckelord :SLAM; ORB-SLAM2; Autonomous exploration; UFOExplorer; Integration; SLAM; ORB-SLAM2; Autonom Utforskning; UFOExplorer; Integration;

   Sammanfattning : Two crucial functionalities of a fully autonomous robotic agent are localization and navigation. The problem of enabling an agent to localize itself in an unknown environment is an extensive and widely studied topic. One of the main areas of this topic focuses on Simultaneous Localization and Mapping (SLAM). LÄS MER

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

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

   Författare :Victor Sanchez; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER