AIFB 03-2022 Bachelor or Master Thesis: 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving

Organisationseinheit

Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)

Ihre Aufgaben

We don’t have autonomous vehicles yet because they’re bad at dealing with the crazy things we see on the roads. Thus, anomaly detection is particularly important to detect the unknown. However, there exists no strong benchmark to compare deep learning anomaly detection methods. In this thesis, you will develop a multimodal benchmark with hundreds of anomalies and ground truth in the voxel space.

The Topic:

• You will perform state-of-the-art research on multimodal anomaly detection benchmarks with camera and lidar data
• Based on the CARLA simulation engine, you will develop „normal“ and „abnormal“ scenarios that include anomalies, especially unknown objects and unknown driving behaviors
• You will perform research on representation spaces and provide groundtruth in the 3D voxel space
• Your benchmark will follow high quality standards, as set by popular benchmarks, such as KITTI or Cityscapes

Eintrittstermin

as soon as possible

Ihre Qualifikation

Your Skills:

• You study Computer Science or a related course of study
• You are deeply interested in topics such as Autonomous Driving, Robotics, Deep Learning or Computer Vision
• You are able to read and write scientific texts in English
• You are fluid in Python and familiar with Linux
• You show an above-average degree of initiative and commitment as well as a thorough way of working