Sökning: "Car detection"

Visar resultat 21 - 25 av 96 uppsatser innehållade orden Car detection.

  1. 21. Enhanced Detection of Minispare Usage

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Isabella Hansen; Johanna Wikström; [2021]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Minispares, or spare wheels, can often cause a lot of problems for the control of the car since it rotates notably faster than normal tyres. This because it is often smaller to reduce weight. When a minispare is used, it needs to be detected for the control system to understand that one tyre is allowed to spin faster compared to the others. LÄS MER

  3. 22. VePMAD: A Vehicular Platoon Management Anomaly Detection System : A Case Study of Car-following Mode, Middle Join and Exit Maneuvers

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

    Författare :Weaam Bayaa; [2021]
    Nyckelord :MDS; GMMHMM; PMP; Machine Learning; Bayesian information Criterion BIC ; Platoon Behavior Recognition; MDS; GMMHMM; PMP; Maskininlärnings; BIC; Plutonbeteendeigenkänning;

    Sammanfattning : Vehicle communication using sensors and wireless channels plays an important role to allow exchanging information. Adding more components to allow exchanging more information with infrastructure enhanced the capabilities of vehicles and enabled the rise of Cooperative Intelligent Transport Systems (C-ITS). LÄS MER

  4. 23. Point Cloud Data Augmentation for Safe 3D Object Detection using Geometric Techniques

    Master-uppsats,

    Författare :Shrayash Kapoor; [2021]
    Nyckelord :;

    Sammanfattning : Background: Autonomous navigation has become increasingly popular. This surge in popularity caused a lot of interest in sensor technologies, driving the cost of sensor technology down. This has resulted in increasing developments in deep learning for computer vision. LÄS MER

  5. 24. Applying Deep Learning To Improve Optimization- Based Approaches For Robust Sensor Fusion

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

    Författare :Pernilla Wikström; [2021]
    Nyckelord :Inertial Measurement Unit; Zero Velocity UPdaTes; Temporal Convolutional Network; PoseGraph Optimization; Inertial Measurement Unit; Zero Velocity UPdaTes; Temporal Convolutional Network; Optimering av GrafBaserad Positionering;

    Sammanfattning : Recent studies show that deep learning can be employed to learn from sensor data to improve accuracy and robustness of sensor fusion algorithms. In the same vein, in this thesis we use a state-of-the-art temporal convolution network to predict zero velocity updates (ZUPT) from raw inertial measurement unit (IMU) signals, and use the network output to improve the performance of an optimization-based pose estimator. LÄS MER

  7. 25. Analysis of different face detection andrecognition models for Android

    Master-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Salinda Hettiarachchi; [2021]
    Nyckelord :Machine learning; Deep learning; Face Detection; Face Recognition; FaceNet; MobileFaceNet; Android; Tensorflow Lite; On device AI;

    Sammanfattning : Human key point tracking such as face detection and recognition has become an increasingly popular research topic. It is a platform independent functionality and already being implemented on a wide range of platforms. Android is one such platform that runs on mobile phones and top of many edge devices such as car devices and smart home appliances. LÄS MER