Steffen Becker
Software Developer @ 4am Robotics
About
As a Graduate of Geodesy and Geoinformatics I am eager to learn and to develop the next generation of Computer Vision algorithms and to map the world! - Passionate about Image Processing, Machine Learning, Object Detection and Drones - Love for coding and capturing the reality with Cameras, Lidar/Laser sensors or Radars - Wide knowledge of capturing, processing and visualisation of geospatial data - Over 2 years of combined internship experience with Geodata - Studied and worked on three different continents - Developed an image-based UAV reference system to evaluate the sensor accuracy of future cars - Received the INTERGEO Next Generation Science and Geoinnovation Award I can't wait for the next chapter in my career and love to connect with other passionate people.
Germany
Karlsruhe
Information Technology & Services
Robot Operating System (ROS), Linux, Supervised Learning, Object Recognition, Geoinformatics, Computer-Vision, Machine Learning, Object Detection, Image Analysis, Image Processing, Motion Tracking, Photogrammetry, Satellite Imagery, LiDAR, Python (Programming Language), C++, UAV, Deep Learning, OpenCV, Autodesk ReCap
Experience
Software Developer
Leinfelden-Echterdingen, Baden-Württemberg, Germany
- Perception of transport boxes and shelves using RGBD data (OpenCV, PCL) - Development of ROS components (state machine with FlexBE, tooling, etc.) - Commissioning of robots at the customer site - supervision of students

Tutor for Image Processing
Melbourne, Victoria, Australia
Tutoring for class of 30 students. Topics: - Satellite Image Interpretation with ENVI - Assessment of burn scars using satellite imagery with ENVI - Satellite Image classification with ENVI - Georeferencing and Orthorectification with Agisoft Metashape

Master Thesis
Heimsheim, Baden-Württemberg, Germany
Developed an image-based Detection of traffic-relevant parameters of vehicles from UAV images: - UAV recordings of traffic scenes - Self-Calibration of the UAV-camera - Scale-Determination in the recorded images - Vehicle Instance Segmentation with Deep-Learning methods - Tracking of moving vehicles from moving UAV - Motion Compensation to determine the background motion - Programming happened in Python, using OpenCV and TensorFlow in particular

Intern for Intelligent Driving Functions
Heimsheim, Baden-Württemberg, Germany
- Involved in the development and validation of an image-processing pipeline to evaluate driving functions - Managed inspection catalogs for automated driving functions - VBA-Tooling: Automation of the verification process of diagnostic protocols
Steffen Becker's Contact Information
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