Sökning: "driving performance"

Visar resultat 1 - 5 av 636 uppsatser innehållade orden driving performance.

  1. 1. Könsrollers påverkan på pojkar och flickors prestation i språkämnet : - En litteraturstudie

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för lärande, humaniora och samhälle

    Författare :Petronella Lodén; [2024]
    Nyckelord :Genus; Jämställdhet; Könsnormer; Könsskillnader; Läs- och skrivförmåga; Prestation; Språkämnen;

    Sammanfattning : Educational research in the Nordic countries has for decades shown a gender-gap inknowledge. Girls perform better than boys, especially in reading and writing. This paper is asystematic literature study with a qualitative approach. Eleven peer reviewed articles havebeen analysed. LÄS MER

  3. 2. 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

  4. 3. 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

  5. 4. Audio Anomaly Detection in Cars

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Asma Hussein; [2023-09-11]
    Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

  7. 5. Corporate Foresight and its Role in Driving Innovation - A case study of the Swedish grocery industry and how they use corporate foresight in order to improve their innovation strategies

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Marcus Andersson; Jonas Dahlqvist; [2023-07-19]
    Nyckelord :Corporate foresight; strategic foresight; long-range planning; innovation; innovation strategies; innovation management; strategic management;

    Sammanfattning : The world is constantly changing with factors that we partly can control and some that are outside of our control. Living in these complex systems demands tackling but also embracing uncertainty. The focus should not be on controlling the outcomes by narrow forecasts. LÄS MER