Sascha Wirges — accepted AI-conference papers

2025

EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory

Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg

CVPR 2025poster

We present EvOcc, a novel evidential semantic occupancy mapping framework. It consists of two parts: (1) an evidential approach for calculating the ground-truth 3D semantic occupancy maps from noisy LiDAR measurements, and (2) a method for training image-based occupancy estimation models through a n…

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2024

Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory

Jonas Kälble, Sascha Wirges, Maxim Tatarchenko, Eddy Ilg

CVPR 2024poster

Automated driving fundamentally requires knowledge about the surrounding geometry of the scene. Modern approaches use only captured images to predict occupancy maps that represent the geometry. Training these approaches requires accurate data that may be acquired with the help of LiDAR scanners. We…

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