During my participation in the Erasmus plus program Edrivetour I attended a mobility period in Warsaw, Poland where I and several of my peers had the amazing opportunity to intern at the span of two weeks in the micromobility company called Triggo who has actually developed their own prototyped electric vehicle ideal for urban areas.
For the duration of two weeks there my main task was building a machine learning object detection model. Without going into too many details the purpose of the model was the detection of a triggo vehicle through a camera module and its resulting image data. So while I was there, I familiriased myself with machine learning models used for autonomous driving, manually prepared and cleaned a dataset of images for the object detection task, created and programmed functions in python for the evaluation of the model’s performance and accuracy, a task which took quite a while, and then I proceeded with extending and augmenting the dataset I had previously prepared to see if perhaps I could
raise the machine learning model’s accuracy even further.
As a second task for my internship I also helped with troubleshooting a faulty speed controller PCB along with performing SMD soldering of parts to bring it back to working condition. Then I also followed a lecture and practical demonstration on how to simulate circuits with comparators and LTspice and went ahead and created a working example on a breadboard from a provided schematic.
It should be noted that throughout my internship I was guided through these projects and tasks by professionals working at the time in the company, a fact for which I am severely thankful since they were beyond helpful and understanding with all of my questions on both projects and really helped guide me to become a better engineer.
The provided certification from my internship is listed below:
