I follow the continuous further development of SLAM with great enthusiasm. I would like to see how the SLAM will interact with mobile robots in the future, so I am applying for this project.
I wrote my master's thesis at Porsche Engineering Service GmbH. My thesis is about the online evaluation of SLAM based on different sensor inputs. During my master's study at the Karlsruhe Institute of Technology (KIT), I obtained fundamental insights into the areas of 3D computer vision and machine learning. I consider myself very suitable for this project due to several reasons. I do believe that I have a solid theoretical foundation in 3D Vision and machine learning. And during the thesis, I already got practical experience in mapping and localization on our test vehicle, like LiDAR-based SLAM, Visual SLAM, and fused SLAM, and collected experience about LiDAR, monocular cameras, and stereo cameras. My good programming skill also makes me suitable for this position. During these projects, I already had a good experience in C++, Python, Linux, and ROS. And I am familiar with the libraries OpenCV, PCL, g2o, Ceres, Pytorch, and Tensorflow.
I would be very pleased to have further discussions with you in a personal interview. Thank you for your time and consideration. I am looking forward to hearing from you.
Yours sincerely,
Lei Wan