Sökning: "ego motion"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden ego motion.

  1. 1. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Alexander Berglund; [2023]
    Nyckelord :artificial intelligence; AI; machine learning; ML; deep learning; DL; computer vision; neural networks; NN; convolutional neural networks; CNN; visual odometry; VO; robustness; motion blur; AirForestry; localization; navigation; ego-motion; pose estimation; SLAM; DF-VO; DytanVO; ORB-SLAM3; artificiell intelligens; maskininlärning; datorseende;

    Sammanfattning : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. LÄS MER

  3. 2. Camera Calibration for Zone Positioning and 2D-SLAM : Autonomous Warehouse Solutions for Toyota Material Handling

    Kandidat-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Benjamin Bolgakov; Anton Frank; [2023]
    Nyckelord :camera calibration; computer vision; SLAM; autonomous; navigation;

    Sammanfattning : The aim of this thesis is to investigate how well a generic monocular camera, placed on the vehicle, can be employed to localize an autonomous vehicle in a warehouse setting. The main function is to ascertain which zone the vehicle is currently in, as well as update the status when entering a new zone. LÄS MER

  4. 3. Unsupervised multiple object tracking on video with no ego motion

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

    Författare :Shuai Wu; [2022]
    Nyckelord :Object tracking; Multiple-object tracking; Unsupervised learning; Evaluation metric; Pedestrian tracking; Objektspårning; Spårning av flera objekt; Oövervakad inlärning; Utvärderingsmått; Fotgängarspårning;

    Sammanfattning : Multiple-object tracking is a task within the field of computer vision. As the name stated, the task consists of tracking multiple objects in the video, an algorithm that completes such task are called trackers. LÄS MER

  5. 4. Jointly Ego Motion and Road Geometry Estimation for Advanced Driver Assistance Systems

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Jawaria Asghar; [2021]
    Nyckelord :autonomous car; ego-vehicle; road geometry; estimation; Advanced Driver Assistance Systems; sensor fusion; Unscented Kalman Filter.;

    Sammanfattning : For several years, there has been a remarkable increase in efforts to develop an autonomous car. Autonomous car systems combine various techniques of recognizing the environment with the help of the sensors and could drastically bring down the number of accidents on road by removing human conduct errors related to driver inattention and poor driving choices. LÄS MER

  7. 5. Risk-aware Autonomous Driving Using POMDPs and Responsibility-Sensitive Safety

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

    Författare :Caroline Skoglund; [2021]
    Nyckelord :Computer Science - Robotics; Autonomous driving; partially observable Markov decision process; motion planning under uncertainty; risk estimation;

    Sammanfattning : Autonomous vehicles promise to play an important role aiming at increased efficiency and safety in road transportation. Although we have seen several examples of autonomous vehicles out on the road over the past years, how to ensure the safety of autonomous vehicle in the uncertain and dynamic environment is still a challenging problem. LÄS MER