Sökning: "vehicle detection"

Visar resultat 1 - 5 av 261 uppsatser innehållade orden vehicle detection.

1. 1. Audio Anomaly Detection in Cars

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Asma Hussein; [2023-09-11]
   Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

   Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

3. 2. Systematically Analyzing Synthetic Automotive Data to support Space Filling Curves-based Maneuver Detection

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Alexandre Rancati-Palmer; Christopher Axt; [2023-08-03]
   Nyckelord :Morton; Carla; autonomous driving; edge case;

   Sammanfattning : Context: In autonomous driving system development, the identification of maneuvers within large datasets is progressively becoming more complex, primarily due to the inherent complexity arising from the multidimensional nature of the data describing these maneuvers. In this context, algorithms based on Space-Filling Curves can be an effective way to index datasets by creating a single-dimensional representation of the maneuvers. LÄS MER

4. 3. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Sammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER

5. 4. Knowledge distillation for anomaly detection

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Nils Gustav Erik Pettersson; [2023]
   Nyckelord :;

   Sammanfattning : The implementation of systems and methodologies for time series anomaly detection holds the potential of providing timely detection of faults and issues in a wide variety of technical systems. Ideally, these systems are able to identify deviations from the normal behavior of systems even before any problems manifest, thus enabling proactive maintenance. LÄS MER

7. 5. A Deep Learning Approach To Vehicle Fault Detection Based On Vehicle Behavior

   Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Författare :Rafi Khaliqi; Cozma Iulian; [2023]
   Nyckelord :Deep learning; attention mechanism; vehicle fault detection; CNN; Bi-LSTM; Bi-GRU; Supervised classification;

   Sammanfattning : Vehicles and machinery play a crucial role in our daily lives, contributing to our transportationneeds and supporting various industries. As society strives for sustainability, the advancementof technology and efficient resource allocation become paramount. LÄS MER