Thesis: Radar System Using Lidar and a Dgps As - Friedrichshafen, Deutschland - ZF
Beschreibung
What's Next? Join ZF:
ZF is a global technology company supplying systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility.
In the four technology domains of Vehicle Motion Control, Integrated Safety, Automated Driving, and Electric Mobility, ZF offers comprehensive product and software solutions for established vehicle manufacturers and newly emerging transport and mobility service providers.
ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate and enhancing safe mobility.Thesis:
Radar system using LiDAR and a dGPS as reference systems:
- Country/Region: DE
- Location: Friedrichshafen, BW, DE, 88046Req ID 55275 Friedrichshafen, Germany
The goal of the thesis is the Definition, implementation and setup of a system to recording key performance indicators (KPI) of radar systems using a LiDAR and dGPS reference system.
Your tasks:
- Integration and setup of a reference and a logging system on a commercial vehicle
- Definition of a method to evaluate the measurements and define sthe uitable key performance indicators
- Implementation of a toolchain to automate and verify the measurements
- Implementation of a toolchain to generate a report of the key performance indicators
Your profile:
- Studying towards a degree in electronic, software, mechanical or automitive systems engineering
- Advanced knowledge of Python (Pandas / Plotly)
- Knowledge in automotive environmental detecting sensor technology is desirable
- Good knowledge of C / C++ and CAN / CAN-FD / Automotive ethernet
- Good knowledge in Vector Informatik GmbH Tools
- Very good language skills in English and German
Lina Schnurr
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ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees.
Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
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