Masterand (m/f/d) Flexible Multi-Camera 3D Occupancy Grid Prediction With Arbitrary Intrinsics and Extrinsics

Company: Dr. Ing. h.c. F. Porsche AG • Location: Weissach • 21h ago

Tasks

Research tasks:

Analysis of existing BEV architectures with regard to extensibility for variable camera configurations Development of a model and a training strategy for heterogeneous camera setups, including scenarios with missing or newly added cameras Benchmarking the developed approach on open-source datasets and synthetic data

Requirements

Degree programs:

Computer Science Artificial Intelligence Robotics Automotive Engineering Data Science or comparable degree program

Areas of study:

Software Development and Programming Machine Learning and Deep Learning Computer Vision

Language skills:

English (fluent in spoken and written form) German is an advantage

Soft skills:

High level of initiative Strong analytical skills Structured and independent working style Ability to work in a team Goal orientation

Expert knowledge:

Experience in machine learning and deep learning Understanding of sensor data fusion Fundamentals of camera sensor technology Fundamentals of 3D data processing

IT skills:

Confident use of MS Office Solid knowledge of Python, C, or C++ Experience with Git, Gitlab, and Linux (Ubuntu) Experience with machine learning and AI frameworks (PyTorch, TensorFlow) For more detail, salary and company information, use the apply link

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