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Adaptive Multimodal Sensor Data Fusion for Environmental Perception (tbc)

Optical sensor systems consisting of light detection and ranging sensors (LiDAR) and stereo or mono cameras in combination with radio detection and ranging sensors (RADAR) are frequently used in advanced driver-assistance systems (ADAS). The sensor data from these systems are the basis for environmental perceptions and, therefore, the basis for decision-making.
Since the different sensors use various measurement principles and rely on dissimilar physical properties, these sensors react individually to various environmental influences.
For this reason, multimodal sensor data fusion based on sensor-specific properties will be introduced in this thesis. This is intended to improve environmental perception, which can be used as input information for the highly automated driving (HAD) function. It is part of the research work investigating the transferability to other applications such as people flow tracking.
For this purpose, the relevant environmental impacts are to be extracted from the sensors' data, which are used for environmental perception. Therefore, environmental influences such as rain, fog, or motion distortion are to be detected and quantified with the use of Neural Networks.
Considering these environmental conditions and their influence on the sensor system, an adaptive sensor data fusion method will be realized. Machine- or Deep Learning shall be used to find the optimal parameters for fusing the data based on the derived environmental conditions. This is to achieve an optimized environmental perception by the system.

MITGLIED IM KOLLEG

seit

Betreuer Hochschule für angewandte Wissenschaften Kempten:

Prof. Dr.-Ing. Thomas Zeh

Forschungsschwerpunkte:

- Sensorik zur Umfelderfassung / Sensors for Environmental Perception

- Modellierung von Sensoren in Virtueller Umgebung / Sensors Modelling in Virtual Environment  

- Zuverlässige Elektronik für Raumfahrtanwendungen / Reliable Electronics for Space Applications

Betreute Projekte:

Betreuer Technische Universität München:

Prof. Dr.-Ing. habil. Dr. h.c. Alexander W. Koch

 

Forschungsschwerpunkte:

Optomechatronische Messsysteme

Lasermesstechnik

Holographische Speckle-Interferometrie

Betreute Projekte:

Lukas Haas

Lukas Haas

Hochschule für angewandte Wissenschaften Kempten

Koordination des Verbundkollegs Mobilität und Verkehr

Treten Sie mit uns in Kontakt. Wir freuen uns auf Ihre Fragen und Anregungen zum Verbundkolleg Mobilität und Verkehr.

Dr. Monika Kolpatzik

Dr. Monika Kolpatzik

Koordinatorin BayWISS-Verbundkolleg Mobilität & Verkehr

Technische Hochschule Ingolstadt
Doctoral School
Esplanade 10
85049 Ingolstadt

Telefon: +49 841 93481560
mobilitaet-verkehr.vk@baywiss.de

Marina Schleicher

Marina Schleicher

Koordinatorin BayWISS-Verbundkolleg Mobilität & Verkehr

Technische Hochschule Ingolstadt
Doctoral School
Esplanade 10
85049 Ingolstadt

Telefon: +49 841 93483539
mobilitaet-verkehr.vk@baywiss.de