Essays about: "Real-Time Decoder"

Showing result 1 - 5 of 13 essays containing the words Real-Time Decoder.

  1. 1. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ziyou Li; [2023]
    Keywords : Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

    Abstract : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. READ MORE

  3. 2. A deep learning based anomaly detection pipeline for battery fleets

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nabakumar Singh Khongbantabam; [2021]
    Keywords : Forklift batteries; Battery sensors; Data pipeline; Predictive maintenance; Anomaly detection; Deep learning; Battery failure prediction; Time-series; Variational autoencoder; Long short-term memory; LSTM; Gated recurrent unit; GRU; Isolation nearest neighbor; iNNE; Isolation forest; iForest; kth nearest neighbor; kNN.; Gaffeltruckbatterier; Batterisensorer; Datapipeline; Prediktivt underhåll; Avvikelsedetektering; Deep learning; Batterifelsprediktion; Tidsserier; Variationsautokodare; Långt korttidsminne; LSTM; Gated recurrent unit; GRU; Isolation närmaste granne; iNNE; Isolation skog; iForest; kth närmaste granne; kNN.;

    Abstract : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. READ MORE

  4. 3. FPGA-Based Acceleration of LTE Protocol Decoding

    University essay from Linköpings universitet/Datorteknik

    Author : William Thelin; [2021]
    Keywords : fpga; hardware acceleration; decode acceleration; LTE; 4G; control channel analysis; 4G protocol decoding; LTE protocol decoding;

    Abstract : This work investigates the possibility to accelerate a procedure in 4G/LTE systems, known as control channel analysis. The aim is to perform the procedure in real-time on cheap and accessible hardware.An LTE decoder implemented in software is modified to perform the procedure.The modified software is analyzed and profiled. READ MORE

  5. 4. Automated advanced analytics on vehicle data using AI

    University essay from KTH/Fordonsdynamik

    Author : Simin Zhang; [2020]
    Keywords : Anomaly detection; Machine learning; Controller Area Network; User function level failure; Avvikelsedetektion; Maskininlärning; Controller Area Network; Fel på användarfunktionsnivå;

    Abstract : The evolution of electrification and autonomous driving on automotive leads to the increasing complexity of the in-vehicle electrical network, which poses a new challenge for testers to do troubleshooting work in massive log files. This thesis project aims to develop a predictive technique for anomaly detection focusing on user function level failures using machine learning technologies. READ MORE

  6. 5. Semantic Segmentation of Urban Scene Images Using Recurrent Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Venkata Satya Sai Ajay Daliparthi; [2020]
    Keywords : Image Segmentation; Deep Learning; Convolutional Neural Networks; Recurrent Neural Networks; Encoder-Decoder Models; and Scene Understanding;

    Abstract : Background: In Autonomous Driving Vehicles, the vehicle receives pixel-wise sensor data from RGB cameras, point-wise depth information from the cameras, and sensors data as input. The computer present inside the Autonomous Driving vehicle processes the input data and provides the desired output, such as steering angle, torque, and brake. READ MORE