Sergey Hayrapetyan

Mono object Detection, vehicle detection - Continues Training - Classifier evaluation and analysis - Data generation using deep learning

Function developer for Traffic Light Assist - Continuous Training Evaluation Classifier engine based traffic light detection - Optimization for real time execution of CLE - Implementation of fusion algorithm - Supervising: Deep Learning based traffic light detection - Supervising: Computer Vision based localization refinement - Supervising: KPI tooling

Deep Neural Network-based Parking Space Segmentation for Near Range Camera Systems - Dataset preparation and augmentation - Design of CNN architectures and continuous training - Analysis and evaluation - Implementation and estimation of state-of-the art CNN architectures and related methods

Softwareentwicklung für autonome Parkfunktion (C++, Python) - ADTF - Analyse des Clustering-Verfahrens - Optimierung und Implementierung des Clustering-Verfahrens für die Echtzeitverarbeitung - Implementierung der Algorithmen in ADTF Umgebung

Softwareentwicklung für die Simulation für Selbstfahrende Autos in Carmaker: ACC "Adaptive Cruise with Stop & Go" Autonome Spurwechsel

Software für “Evaluation for Affective Impact of Movies and Violence scene detection" Paper link: http://ceur-ws.org/Vol-1436/Paper30.pdf

Praktikum für die Entwicklung der mobilen Anwendungsprogramme im „Windows Phone“ Betriebssystem

Cognitive Systems: Machine Learning, Deep Learning, Computer Vision Algorithm Design: Routing, Clustering

Angewandte Mathematik Informatik