Vinzenz Dallabetta

Abschluss: Master of Science, Munich University of Technology (TUM)

München, Deutschland

Fähigkeiten und Kenntnisse

C++
Environment Perception
Linux
CUDA
Python
Machine Learning
Deep Learning
ROS (Robot Operating System)
Self-Driving Car
Computer Vision
Java
C
C#
ADTF(Automotive Data and Time-Triggered Framework)
Matlab
Statistical Signal Processing
Embedded Systems
Android
TCP/IP
Control Systems Design
Digital Signal Processing
Development of analog and digital circuit
Layout of electronic circuits
FPGA programming
Communication Networks
High Frequency Circuit Design

Werdegang

Berufserfahrung von Vinzenz Dallabetta

  • Bis heute 6 Jahre und 8 Monate, seit Okt. 2017

    Software Developer for Autonomous Driving

    BMW Group
  • 8 Monate, Nov. 2016 - Juni 2017

    Master Thesis Student

    BMW Group

    Autonomous Driving / Environment Perception

  • 8 Jahre, Nov. 2008 - Okt. 2016

    Working Student

    Wallner Testsysteme GmbH

    Improved the compatibility of a high voltage and high current measurement instrument with Win32 platforms by developing a High Speed USB Interface. This included the analog and digital circuit design, FPGA programming, embedded software and PC driver programming (Cadstar • VHDL • C). And redesigned the analog circuit of a high sample rate battery simulator for mobile devices

  • 7 Monate, Sep. 2015 - März 2016

    Intern

    Mercedes-Benz Research & Development North America, Inc.

    Autonomous Driving

  • 4 Monate, Nov. 2013 - Feb. 2014

    Student Trainee

    Rohde & Schwarz Asia Pte Ltd

    Co-inventor of a patent pending prototype for the improvement of a wireless communication measurement method for mobile devices. Developed the client module of the prototype as an Android mobile application (Android • Java). Implemented the corresponding server module on a Win32 platform (C++ • C#)

  • 6 Monate, Feb. 2012 - Juli 2012

    Intern

    Rohde & Schwarz GmbH & Co. KG

    Optimized and verified the measurement algorithm for determining the quality of over the air streamed videos with different resolutions formats by reproducing the signal processing in a software program (C#)

Ausbildung von Vinzenz Dallabetta

  • 3 Jahre und 2 Monate, Apr. 2014 - Mai 2017

    Electrical Engineering and Information Technology

    Munich University of Technology (TUM)

    Autonomous Systems

  • 5 Jahre, Sep. 2008 - Aug. 2013

    Electrical Engineering and Information Technology

    Munich University of Applied Sciences

    Information and Communication technology

Sprachen

  • Deutsch

    Muttersprache

  • Englisch

    Fließend

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