Your contribution to something big:
As part of our Ground Truth Team, you will contribute to the validation of perception functions for autonomous driving. One of the key challenges in this field is the need for large amounts of accurately labelled sensor data, which is still often generated through manual processes.
Your mission will be to help address this challenge by developing and evaluating solutions for the automatic labelling of sensor data and assessing their performance across different sensor technologies.
Make the future a reality: Develop high-performance, robust and innovative ground truth toolchains for complex sensor setups, including LiDAR, radar and camera, supporting perception applications for autonomous driving.
Drive engineering excellence: Translate perception requirements into ground truth solutions, develop innovative post-processing toolchains and implement performance evaluation scripts and KPIs to assess both perception and ground truth performance.
Enable data-driven development: Work with large-scale sensor data and contribute to solutions that support the development and validation of ADAS and autonomous driving perception functions.
Take responsibility: Act as a key enabler for other development teams by openly communicating the opportunities and limitations of the developed solutions and providing feedback to perception teams based on your performance evaluations.
Collaborate: Work closely with colleagues from different technical areas in an international and interdisciplinary environment, contributing your ideas and technical expertise.