Python Job: Academic Internship in In-Vehicle Object Detection

Your contribution to something big:

In a steadily growing market of mobility service providers, the safety and comfort of drivers and passengers is becoming increasingly important. We are sensing the interior of a vehicle with an AIoT device containing a variety of sensors. We have developed an ML pipeline to reduce development cycles and increase built-in quality. To further reduce development cycles we are aiming to develop an automated release pipeline for our own development fleet, to push code faster and accelerate field learnings.

In a steadily growing market of mobility service providers, the safety and comfort of drivers and passengers is becoming increasingly important.
We are sensing the interior of a vehicle with an AIoT device containing a variety of sensors. We are currently investigating the possibility to
detect and classify object left behind in a shared vehicle, to notify the customer as soon as possible.

In the course of topic, we have already carried out research that can be built upon. The consists of the development of a deep learning architecture
to detect and classify objects and identify who the objects belongs to if multiple individuals are present.

The main objective of this master thesis is the study and evaluation of the different state-of-the-art approaches used for frame/video based object detection, followed
by the proposal, implementation and validation of a ML/DL algorithm to identify predefined activities.

• SOTA Analysis: analyze current state of the art literature in deep learning techniques applied to this computer vision based problem
• Requirements Definition: define feature objectives and requirements / evaluate best suitable SOTA approaches for the defined usecase
• Data Wrangling and Analysis: explore/analyze then cleanse/preprocess provided dataset
• Implementation and Evaluation: implement and training different models based on SOTA Analysis and evaluate your results and improvements
• Documentation: write documentation about your findings and your code (English preferred)

Qualifications

What distinguishes you:

• Attending a Master Degree in Computer Science; Computer Engineering or similar areas;
• Basic SW development skills (preferred Python);
• Knowledge of ML / Deep Learning;
• Good English Skills (writing & speaking).

Additional Information

What we offer you:

Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.

Success stories don´t just happen. They are made...

Make it happen. We are looking forward to your application!