Carl Schwedes
Angestellt, Software Developer Automated Driving, CARIAD SE
Abschluss: Master of Science, Dresden University of Applied Sciences
Berlin, Deutschland
Werdegang
Berufserfahrung von Carl Schwedes
Bis heute 3 Jahre und 7 Monate, seit Dez. 2020
Software Developer Automated Driving
CARIAD SE
Bis heute 3 Jahre und 7 Monate, seit Dez. 2020
Software Development Engineer
CARIAD SE
• Focused to work and the development of algorithms for the purpose of semantic ground-plane segmentation under the use of deep learning application (Master thesis). (Tensorflow, CUDA, Docker, team organization via Scrum, Jira, Bitbucket)
2 Jahre und 9 Monate, Okt. 2016 - Juni 2019
Research Assistant
University of Applied Sciences Dresden
• Undertaking research to develop and enhance lane detection and tracking algorithms based on video-sensors, image analysis, edge detection algorithms, kalman-filter tracking, real-time operating systems (PREEMPT-RT), CAN-Protocol, PID-Controller and Robot Operating System (ROS). • Recoded and redesigned OpenCV image analysing algorithms to achieve further improvements on efficiency.
Ausbildung von Carl Schwedes
3 Jahre, Sep. 2017 - Aug. 2020
Applied Computer Science
Dresden University of Applied Sciences
• Master thesis: Semantic Lane Segmentation of LiDAR Point Clouds using Convolutional Neural Networks. Keywords: environmental perception, LiDAR, deep learning, tensorflow, nuScenes, focal loss, range-image projection • Specialized in deep learning targeting computer vision applications
5 Monate, Mai 2016 - Sep. 2016
Internship - Research Student
University of Oxford
• Included coding with LWJGL and OpenGL. The project comprised development of a molecular viewer application with the purpose to visualize molecular mechanisms of antibiotic resistance related to modern penicillin drugs (part of the BACK FROM THE DEAD: Demystifying Antibiotics special exhibition).
5 Monate, Sep. 2014 - Jan. 2015
Internship - Research Student
University of Oxford
• The project included an article, as well as the conception and design of 3d visualization content for educational purposes to help and support the understanding of historical production processes. The project was part of the: ”BACK FROM THE DEAD: Demystifying Antibiotics” special exhibition.
4 Jahre und 11 Monate, Sep. 2012 - Juli 2017
Media Informatics
University of Applied Sciences Dresden
Sprachen
Englisch
Fließend
Deutsch
Muttersprache