AIFB 06-2022 Bachelor or Master Thesis: Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving

Organisationseinheit

Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)

Ihre Aufgaben

In computer vision, we often deal with metrics that evaluate results irrelevant of the task at hand. However, for the field of autonomous driving, this method is flawed - you don’t necessarily care about misclassifications etc. if they do not affect the current trajectory. In this thesis, based on a 3D voxel space, you will develop a relevance metric that is adapted to the task of autonomous driving.

The Topic:

• You will perform state-of-the-art research on evaluation metrics for the task of autonomous driving
• You will implement a vanilla version of a path planner for the autonomous vehicle in the CARLA simulation environment
• You will represent the world in a 3D voxel space
• You will develop a method that assigns a weight to each voxel, enabling any perception task (object detection, anomaly detection, …) to receive a weighted version of their output, adapted to the driving task
• You will create appealing image and video visualizations

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