activity
20172026
most citedCombining Stereo Disparity and Optical Flow for Basic Scene Flow

26 citations · 75 across the 21 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 1 cited

Detection of Driver Drowsiness by Calculating the Speed of Eye Blinking

Muhammad Fawwaz Yusri, Patrick Mangat, Oliver Wasenmüller

Many road accidents are caused by drowsiness of the driver. While there are methods to detect closed eyes, it is a non-trivial task to detect the gradual process of a driver becomi…

cs.CV2021

PDC: Piecewise Depth Completion utilizing Superpixels

Dennis Teutscher, Patrick Mangat, Oliver Wasenmüller

Depth completion from sparse LiDAR and high-resolution RGB data is one of the foundations for autonomous driving techniques. Current approaches often rely on CNN-based methods with…

cs.CV2021

DVMN: Dense Validity Mask Network for Depth Completion

Laurenz Reichardt, Patrick Mangat, Oliver Wasenmüller

LiDAR depth maps provide environmental guidance in a variety of applications. However, such depth maps are typically sparse and insufficient for complex tasks such as autonomous na…

cs.CV2021

Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification

Steve Dias Da Cruz, Bertram Taetz, Oliver Wasenmüller +2

Common domain shift problem formulations consider the integration of multiple source domains, or the target domain during training. Regarding the generalization of machine learning…

cs.CV2021★ 15 cited

SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences

Dennis Stumpf, Stephan Krauß, Gerd Reis +2

Large labeled data sets are one of the essential basics of modern deep learning techniques. Therefore, there is an increasing need for tools that allow to label large amounts of da…