Sökning: "Autonomous Driving System"

Visar resultat 1 - 5 av 216 uppsatser innehållade orden Autonomous Driving System.

  1. 1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Jonas Wedén; [2024]
    Nyckelord :Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

    Sammanfattning : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. LÄS MER

  3. 2. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  4. 3. Challenges in Specifying Safety-Critical Systems with AI-Components

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
    Nyckelord :Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

    Sammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER

  5. 4. Systematically Analyzing Synthetic Automotive Data to support Space Filling Curves-based Maneuver Detection

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Alexandre Rancati-Palmer; Christopher Axt; [2023-08-03]
    Nyckelord :Morton; Carla; autonomous driving; edge case;

    Sammanfattning : Context: In autonomous driving system development, the identification of maneuvers within large datasets is progressively becoming more complex, primarily due to the inherent complexity arising from the multidimensional nature of the data describing these maneuvers. In this context, algorithms based on Space-Filling Curves can be an effective way to index datasets by creating a single-dimensional representation of the maneuvers. LÄS MER

  7. 5. Towards the Implementation of Autonomous Vehicles - Stakeholders' Perspectives and Concerns

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Paolo Concetti; [2023-07-19]
    Nyckelord :Autonomous Driving; Autonomous Vehicles; Critical Adoption Points; City Planning; Stakeholders Analysis;

    Sammanfattning : A large part of the efforts of companies in the automotive sector today is directed towards the development of autonomous driving. According to many studies conducted in recent years, autonomous vehicles (AVs) have the potential to introduce a real revolution in mobility. LÄS MER