Sökning: "Car detection"
Visar resultat 6 - 10 av 96 uppsatser innehållade orden Car detection.
6. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER
7. Anomaly Vibration Classification for Condition Monitoring in Passenger Cars
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This research aims to investigate accurate classification of anomalous vibrations produced during vehicle operation. The main research questions are which data can be used as classification criteria, which models can better achieve classification effects, and how to address classification issues under different variables in a car. LÄS MER
8. Comparative Analysis and Development of Receivers for Drone Remote Identification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Similar to a car’s license plate, the European Union Aviation Safety Agency (EASA) has released new regulations imposing the registration of drone operators and the broadcasting of the drone’s “digital license plate”, i.e., the drone Remote Identification (RID) in flight, which gives a new opportunity in drone surveillance. LÄS MER
9. Arbitrary motion Synthetic Aperture Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. LÄS MER
10. Night-time Vehicle Detection Based on Observable Light Cues Using Deep Learning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : This thesis investigates the issue of computer vision-based detection of oncoming cars during night-time, a critical road safety issue for automated high-beam assist. We propose a holistic image classification approach that uses deep learning methods to detect light artifacts from an oncoming car’s headlights before the car is entirely visible. LÄS MER