Sökning: "Lane detection"

Visar resultat 1 - 5 av 32 uppsatser innehållade orden Lane detection.

  1. 1. Robust Object Recognition and Tracking with Drones

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jiaying Wu; [2024]
    Nyckelord :;

    Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER

  3. 2. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene

    Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)

    Författare :Dimitrios Zarogiannis; Stelio Bompai; [2023]
    Nyckelord :Lane Detection; CNN; Vision Transformer; Deep Learning; Semantic Segmentation; Computer Vision;

    Sammanfattning : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. LÄS MER

  4. 3. 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

  5. 4. Optimization of two high-performance size-exclusion chromatography methods with diode-array detection for protein quantification and purity assessment

    Master-uppsats, Lunds universitet/Centrum för analys och syntes

    Författare :Camilla Lane; [2023]
    Nyckelord :Method qualification; Protein concentration; Protein Purity; High Performance Size exclusion chromatography; Quality control; Analytical chemistry; Biology and Life Sciences;

    Sammanfattning : Background: There is a need to develop methods of determining concentration and purity for two new affinity ligands, protein T and protein H, in order to ensure the quality of an industrial production of said proteins. Aims: To develop a High Performance Size Exclusion Chromatography, HPSEC, method to determine concentration and purity of protein T and to improve an existing HPSEC method for concentration and purity determination of protein H that show selectivity, display linearity between peak area and injection amount and give repeatable results. LÄS MER

  7. 5. Learning Based Road Estimation

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sanna Amirijoo; Karl Niwong; [2023]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. LÄS MER