Falk Kappel

Angestellt, Software Engineer, ZF Group

Friedrichshafen, Deutschland

Fähigkeiten und Kenntnisse

Computer Vision
Pattern Recognition
Image Processing
Machine Learning
Neural Networks
Photogrammetry
Navigation
Signal Processing
Adjustment Theory
Radar Technology
MatLab
Java
Python
C++
Version Control System
Deep Learning
Caffe
Softwareentwicklung
Artificial Intelligence

Werdegang

Berufserfahrung von Falk Kappel

  • Bis heute 6 Jahre und 6 Monate, seit Jan. 2018

    Software Engineer

    ZF Group
  • 8 Monate, Mai 2017 - Dez. 2017

    Software Engineer

    FERCHAU Engineering GmbH
  • 8 Monate, Mai 2016 - Dez. 2016

    Master Thesis / Software Engineer

    Volvo Car Corporation

    Traffic sign detection and classification using deep learning

  • 6 Monate, Aug. 2015 - Jan. 2016

    Research Assistant

    virtualcitySYSTEMS GmbH / University of Stuttgart

    - Development of a tool for virtualcitySYSTEMS GmbH to make 3D measurements in single oblique aerial photos. - Programming with MATLAB

  • 8 Monate, Jan. 2015 - Aug. 2015

    Software Engineer

    roomplan TGU, startup

    - Development of an Android app to survey indoor spaces in realtime and create 3D-CAD-models and floor plans of them using Google's Project Tango Tablet. - Development of a stair detection algorithm using data from inertial sensors. - Programming with MATLAB and Java

Ausbildung von Falk Kappel

  • 2 Monate, Mai 2020 - Juni 2020

    AI for Healthcare Nanodegree

    Udacity

  • 2 Jahre und 3 Monate, Okt. 2014 - Dez. 2016

    Geodesy and Geoinformatics

    University of Stuttgart

    Computer Vision - Pattern Recognition and Optimization - Terrestrial Photogrammetry - Control of Moving Objects - Dynamic Systems - Radar Measurement Methods - Kinematic Capture of 3D Geo-Data - Sensor Technology

  • 3 Jahre und 2 Monate, Okt. 2011 - Nov. 2014

    Geodesy and Geoinformatics

    Universität Stuttgart

    - Adjustment Theory - Signal Processing - Image Processing - Navigation - Photogrammetry

Sprachen

  • Deutsch

    Muttersprache

  • Englisch

    Fließend

  • Spanisch

    Gut

  • Französisch

    Grundlagen

Interessen

Guitar / Bass
Technology
Advanced driver assistance systems
Mountain biking

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