Ing. Isabella Wosniack

Development of deep learning network using camera and radar sensor fusion for pedestrian identification under harsh environmental conditions. Experience with Nuscenes dataset for autonomous driving, python and Yolo v4 framework for object detection. Development of deep learning models for 3D human joint estimation. Experience with Blender software to generate artificial data (i.e different human poses). Measurement of retroreflectivity of traffic signs using Lidar sensor

Testing and inspection procedures for traffic violation equipment. Homologation and test procedures for weigh in motion (WIM) equipment. Responsible for equipment test set up, test conditions, standards, and requirements. Development of test jigs and test scripts to optimize testing procedures. Strong background with shell script and Linux

Electronics circuit design and embedded systems programming. Development of a new radar speed sign in accordance with European standards for vertical road signs. Experience with electronics circuits schematic and layout designs using Altium software and C programming language. Experience with led technologies used for variable message signs.