Sökning: "autonomous heavy-duty vehicles"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden autonomous heavy-duty vehicles.

  1. 1. Data-Driven Motion Planning : With Application for Heavy Duty Vehicles

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

    Författare :Oscar Palfelt; [2022]
    Nyckelord :Motion planning; Deep learning; Autonomous driving; Nonuniform sampling; Rörelseplanering; Djupinlärning; Autonom körning; Ojämn provtagning;

    Sammanfattning : Motion planning consists of finding a feasible path of an object between an initial state and a goal state, and commonly constitutes a sub-system of a larger autonomous system. Motion planners that utilize sampling-based algorithms create an implicit representation of the search space via sampling said search space. LÄS MER

  3. 2. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Yegor Piven; [2021]
    Nyckelord :computer vision; machine learning; deep learning; depth estimation; single image depth estimation;

    Sammanfattning : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. LÄS MER

  4. 3. Strategic management of intellectual property in the field of vehicle autonomy and connectivity : A case study in the truck manufacturing field

    Master-uppsats, Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknik

    Författare :Philip Åkerblom; [2021]
    Nyckelord :Intellectual property; Intellectual property management; Intellectual property strategy; Autonomous vehicles; Autonomy; Connectivity; Heavy-duty trucks.;

    Sammanfattning : The truck manufacturing field is expected to go through a disruptive change in the coming decade(s) due to a predicted implementation of autonomous (self-driving) heavy-duty vehicles. Here, companies face a challenge in that autonomous vehicles (AV) will include technologies and competences from multiple industries. LÄS MER

  5. 4. Optimization of the Parking Manoeuvre for a 1-Trailer Truck

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

    Författare :Hector Esteban Cabezos; [2020]
    Nyckelord :;

    Sammanfattning : Motion planning for autonomous heavy duty vehicles has been intensively studied during the last years due to its promising benefits for industry in terms of money savings and safety. The system treated in this thesis is a 1-trailer truck. LÄS MER

  7. 5. Map-aided localization for autonomous driving using a particle filter

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

    Författare :Simon Eriksson; [2020]
    Nyckelord :Particle filter; Monte Carlo filter; Gaussian noise; Bayesian estimation; probabilistic localization; autonomous vehicles; Scania; OpenStreetMap; Partikelfilter; Monte Carlo-filter; Gaussiskt brus; Bayesisk uppskattning; sannolikhetsbaserad lokalisering; autonoma fordon; Scania; OpenStreetMap;

    Sammanfattning : Vehicles losing their GPS signal is a considerable issue for autonomous vehicles and can be a danger to people in their vicinity. To circumvent this issue, a particle filter localization technique using pre-generated offline Open Street Map (OSM) maps was investigated in a software simulation of Scania’s heavy-duty trucks. LÄS MER