Fahrzeugtechnik - Institutsteil

Dissertation
Titel
Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors

Resume

Education

       - 2014 - today: Karlsruhe Institute of Technology (KIT): Research Assistent
        - 2008 - 2014: KIT: B.Sc. and M.Sc. in Industrial Engineering and Management
        - 2013 - 2013: University of Massachusetts, USA (Ba-Wü-Program, Fulbright travel grant)
        - 2012 - 2012: Lulea University of Technology, Sweden (ERASMUS)

Research visits: University of Cambridge (UK), University of California, Berkeley (USA)
Work experience: Daimler AG, SAP AG, DZ Bank (Singapore), Rantum Capital, Majolika Karlsruhe
Volunteer experience: Engineers Without Borders

Research Interests

Signal Processing (Audio, Inertial Sensors)
Vehicle Dynamics
Machine Learning
Computer Vision
Deep Learning

Journal Papers
Titel	Journal	Datum	Authors
Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters		2018	Masino, J. Thumm, J. Levasseur, G. Frey, M. Gauterin, F. Mikut, R. Reischl, M.
Fahrzeugsensoren als Echtzeit-Informationsquelle für die Qualität der Straßenverkehrsinfrastruktur	Straße und Autobahn, Kirschbaum Verlag	2018	Düsterhöft, F. Heger, T. Hofmockel, J. Klee, P.-A. Klöpfer, C. Laubis, K. Schmidt-Sautter, M. Masino, J.
Multiple Vehicle Fusion for a Robust Road Condition Estimation based on Vehicle Sensors and Data Mining	cogent engineering, Taylor & Francis	2018	Hofmockel, J.* Masino, J.* Thumm, J. Sax, E. Gauterin, F. *Equal contribution
Road Grade Estimation with Vehicle Based Inertial Measurement Unit and Orientation Filter	IEEE Sensors Journal	2017	Jauch, J.* Masino, J.* Staiger, T. Gauterin, F. *Equal contribution
Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen	at-Automatisierungstechnik	2017	Masino, J. Levasseur, G. Frey, M. Gauterin, F. Mikut, R. Reischl, M.
Learning From the Crowd: Road Infrastructure Monitoring System	Journal of Traffic and Transportation Engineering, Elsevier	2017	Masino, J. Thumm, J. Frey, M. Gauterin, F.
Pavement Type and Wear Condition Classification from Tire Cavity Acoustic Measurements with Artificial Neural Networks	The Journal of the Acoustical Society of America	2017	Masino, J. Foitzik, M. Frey, M. Gauterin, F.
Road Surface Prediction From Acoustical Measurements in the Tire Cavity Using Support Vector Machine	Applied Acoustics, Elsevier	2017	Masino, J. Pinay, J. Reischl, M. Gauterin, F.

Conference Papers
Title	Conference	Year	Authors
Inertial Sensor for an Autonomous Data Acquisition of a Novel Automotive Acousitc Measurement System	IEEE International Symposium on Inertial Sensors and Systems	2017	Masino, J. Luh, M. Frey, M. Gauterin, F.
Identification and Prediction of Road Features and their Contribution on Tire Road Noise	EUROMECH 578: Rolling Contact Mechanics for Multibody System Dynamcis	2017	Masino, J. Wohnhas, B. Frey, M. Gauterin, F.
Driving Event Detection and Driving Style Classification using Artificial Neural Networks	IEEE International Conference on Industrial Technology	2017	Brombacher, P. Masino, J. Frey, M. Gauterin, F.
Development of a tire cavity sound measurement system for field operational tests	IEEE International Systems Conference	2016	Masino, J. Daubner, B. Frey, M. Gauterin, F.
Development of a highly accurate and low cost measurement device for Field Operational Tests	IEEE International Symposium on Inertial Sensors and Systems	2016	Masino, J. Frey, M. Gauterin, F. Sharma, R.

Presentations
Title	Venue
Sustainability in road infrastructure	Instituto Superior Técnico, Lisboa, Portugal

Research Project
Title
RealMoves – Realtime Measurement of Road Quality Using On-Board Vehicle Sensors
Technische Aspekte der Überwachung der akustischen Qualität der Fahrwege im Straßenverkehr

Angebotene Abschlussarbeiten
Titel	Typ	Datum

Laufende und abgeschlossene Abschlussarbeiten
Kategorie
Simulation
Vehicle Measuring Device
Tire Cavity Sound Measurement System

Dr.-Ing. Johannes Masino