Dr. Martin Hirzer

Working in product development for ADAS/AD: • Leading a team to develop a camera-based dashboard monitoring prototype • Integration of precise camera and lidar calibration algorithms into a holistic framework • Technical lead of AVL’s contribution in the A-IQ Ready EU research project (camera-based dashboard monitoring and lidar-based 3D object detection on an embedded platform in a demo vehicle) • Co-writer of AVL’s contribution in the EdgeAI-Trust EU research project (decentralized AI on edge devices)

Development of a lidar-based lane detection algorithm

Working on computer vision and AI/machine learning topics in the context of ADAS/AD: • 3D object detection from camera and lidar data • Anonymization of faces and license plates in recorded video data for GDPR compliance • Automatic driving scenario detection in recorded test drives as part of AVL’s ADAS/AD Big Data & Analytics Platform • Technical coordination of AVL’s contribution in the Christian Doppler Laboratory for Embedded Machine Learning (partners: TU Graz, TU Vienna, Siemens, Mission Embedded)

Working on various projects for the Christian Doppler Laboratory for Semantic 3D Computer Vision: • Efficient 3D camera tracking in urban areas based on 2.5D city maps and semantic image segmentation • Room layout estimation from monocular RGB images for indoor augmented reality and navigation Working for the EU FP7 project CultAR on augmented reality technologies to enhance tourists’ experience when exploring cultural contents in urban areas: • Robust camera pose estimation • Panoramic camera tracking

Applied research in computer vision, pattern recognition, machine learning, and visual surveillance with a focus on inter-camera person re-identification

Development of face image segmentation software in Matlab and C++ as part of an ICAO passport photograph inspection framework

Research project about face biometrics

Research in inter-camera person re-identification, metric learning, machine learning in general, and feature representations

Research in face biometrics and semantic image segmentation