Dr. Martin Hirzer

Working in AI/ML product development for ADAS/AD: • Team leader for developing AVL’s camera-based dashboard monitoring solution • Development of a precise camera and lidar calibration 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)

Working in AI/ML product development for ADAS/AD: • Development of a robust lidar-based lane detection algorithm using different AI/ML techniques • Dissemination of AVL’s automatic driving scenario detection in “ATZ worldwide” (international technology magazine)

Working on various AI/ML and computer vision topics for ADAS/AD: • Data science lead of AVL’s ADAS/AD Big Data and Analytics cloud platform • Combined 2D and 3D object detection from camera and lidar data • Automatic driving scenario detection in recorded test drives • Anonymization of faces and license plates in recorded video data • 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 different AI/ML and computer vision projects for the Christian Doppler Laboratory for Semantic 3D Computer Vision: • Efficient 3D camera tracking in urban environments based on 2.5D city maps and semantic image segmentation • Room layout estimation from monocular RGB images for indoor augmented reality and navigation Developing novel augmented reality technologies in the course of the EU FP7 project CultAR for: • Robust camera pose estimation • Panoramic camera tracking

Co-Writing the FFG research program for intelligent multi-sensor systems focusing on: • Embedded AI/ML • Sensor design • Sensor fusion strategies

Working on various AI/ML and computer vision research projects for: • Traffic monitoring • Inter-camera person re-identification • Anomaly and unusual event detection

Developing a face image segmentation application in C++ as part of an ICAO passport photograph inspection framework

Research project about face biometrics

Doctoral program in Computer Science at Graz University of Technology, Institute of Computer Graphics and Vision Specialization: Computer vision, AI/machine learning Thesis title: Combining Descriptive and Discriminative Information for Person Re-Identification Graduation with honors

Master’s program in Telematics at Graz University of Technology Main subjects: Computer vision, AI/machine learning Thesis title: Segmentation of Face Images (done in collaboration with Siemens AG Austria, PSE, Biometrics Center) Graduation with honors

Bachelor’s program in Telematics at Graz University of Technology Graduation with honors