15 citations · 27 across the 10 of their papers we have counts for
22 papers
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring
Nikolas Ebert, Patrick Mangat, Oliver Wasenmüller
In order to ensure safe autonomous driving, precise information about the conditions in and around the vehicle must be available. Accordingly, the monitoring of occupants and objec…
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…
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…
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…
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…
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…