Master Thesis Development of an ML-Based Post-Processing Scene Classification for ADAS Development Using Continuously Evaluated Data
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
In recent years, Advanced Driver Assistance Systems (ADAS) such as Adaptive Cruise Control (ACC) and lane departure warning have become increasingly popular. However, these systems still have room for improvement in certain scenarios, which requires a systematic search for such scenes during the development phase. Unfortunately, this process requires expensive and time-consuming manual expert labelling to cluster and label these effects.
- To address this problem, in your Master thesis you will design a machine learning algorithm using continuous-valued input data from radar and camera to classify faulty scenarios in post-processing.
- Furthermore, you will test and optimize the algorithm using real data.
- Last but not least, you will integrate the algorithm into an existing validation framework.
Qualifications
- Education: Master studies in the field of Engineering or comparable
- Experience and Knowledge: in Python; skills in Deep Learning (Pytorch), driver assistance systems and sensors (radar, camera) are an advantage
- Personality and Working Practice: an independent, motivated and reliable person
- Languages: very good in English and basic in German
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Patricia Duran (Functional Department)
+49 711 811 37308
#LI-DNI
What We Do
The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.
As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”
The Bosch Group comprises Robert Bosch GmbH and its roughly 440 subsidiary and regional companies in some 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 128 locations across the globe, Bosch employs some 76,100 associates in research and development, of which more than 38,000 are software engineers.
Instagram: https://www.instagram.com/boschglobal/
Facebook: https://www.facebook.com/BoschGlobal
Twitter: https://www.twitter.com/BoschGlobal
Glassdoor: https://bit.ly/3raTZnH
Imprint: www.bosch.com/corporate-information
Privacy statement: www.bosch.com/data-protection-notice
.png)
.png)
.png)
