Sökning: "autonomous driving"

Visar resultat 1 - 5 av 230 uppsatser innehållade orden autonomous driving.

  1. 1. - What cluster effects have the largest impact on automotive software companies in the Gothenburg area?

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :Emma Åström; Daniel Thorslund; [2020-02-13]
    Nyckelord :Cluster effects; Agglomeration; Competitive advantage; Self-driving cars; International Business;

    Sammanfattning : It has long been argued that clusters have a positive effect on companies’ growth and successrate. Why companies benefit from being present in a agglomeration of related firms and business have been broadly discussed among scientist in the field of International Business, and their view differ somewhat. LÄS MER

  2. 2. Implementation of a Deep Learning Inference Accelerator on the FPGA.

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Shenbagaraman Ramakrishnan; [2020]
    Nyckelord :Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Sammanfattning : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. LÄS MER

  3. 3. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

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

    Författare :Ajinkya Khoche; [2020]
    Nyckelord :;

    Sammanfattning : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. LÄS MER

  4. 4. A practically developed approach to evaluate sonic interfaces of autonomous cars

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik och samhälle

    Författare :Mattias Hedman; [2020]
    Nyckelord :Industrial design engineering; Interaction design; Sonic interaction design; Autonomous cars; Trust; Evaluation method;

    Sammanfattning : This thesis was a part of the SIIC-project (Sonic Interaction in Intelligent Cars) initiated by FFI (Fordonsstrategisk forskning och innovation), consulted by Volvo, Pole Position Production and Research Institutes of Sweden. The SIIC-project was about exploring sonic tools to affect the experience of self-driving cars. LÄS MER

  5. 5. Real Time Detection and Recognition of Construction Vehicles : Using Deep Learning Methods

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Krishna Chadalawada; [2020]
    Nyckelord :Object detection and recognition; Deep Learning; Classification performance; YOLOv3; Construction Vehicles;

    Sammanfattning : Background. The driving conditions of construction vehicles and their surrounding environment is different from the traditional transportation vehicles. As a result,they face unique challenges while operating in the construction/evacuation sites. LÄS MER