Student Assistant (HiWi) Human-like perception for autonomous vehicles

The Augmented Vision Department of DFKI led by Prof. Dr. Didier Stricker is offering a Student
Assistant position for curious and passionate students, who want to explore the field of explainable
autonomous driving and human-like perception (More guidance and specifics about the topic will be discussed in
the initial interview)

Main Tasks:
• Work with the driving simulator at DFKI and assist in data collection.
• Design driving scenarios for driving according to specific use cases.
• Write scripts in Python to process and extract sensor data from a simulated vehicle.
• Develop machine learning models to simulate human-like perception in autonomous vehicles.

Requirements
• Good knowledge of concepts in Computer Vision, Deep Learning and LLMs.
• High-level experience in Python and PyTorch/TensorFlow
• Basic driving experience (optional but preferred).
• Interest in hands-on work with driving simulator and wearable sensors.

References
• Marcu, A.-M. LingoQA: Visual Question Answering for Autonomous Driving (arXiv:2312.14115). arXiv.
https://doi.org/10.48550/arXiv.2312.14115
• Kotseruba, I., & Tsotsos, J. K. (2024). SCOUT+: Towards Practical Task-Driven Drivers’ Gaze Prediction
(arXiv:2404.08756). arXiv. http://arxiv.org/abs/2404.08756
• Alletto, S., Palazzi, A., Solera, F., Calderara, S., & Cucchiara, R. (2016). DR(eye)VE: A Dataset for Attention-Based Tasks
with Applications to Autonomous and Assisted Driving. 2016 IEEE Conference on Computer Vision and Pattern Recognition
Workshops (CVPRW), 54–60. https://doi.org/10.1109/CVPRW.2016.14

• Apply latest by: 07.11.2024

Contact:
Shreedhar Govil, Researcher
Augmented Vision, DFKI
Trippstadter Straße 122, 67663 Kaiserslautern
Email: shreedhar.govil@dfki.de