8 citations · 17 across the 8 of their papers we have counts for
10 papers
CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials
Alexander Naumann, Felix Hertlein, Jacqueline Höllig +2
Programming tutorials in the form of coding screencasts play a crucial role in programming education, serving both novices and experienced developers. However, the video format of…
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions
Daniel Grimm, Maximilian Zipfl, Felix Hertlein +7
Precisely predicting the future trajectories of surrounding traffic participants is a crucial but challenging problem in autonomous driving, due to complex interactions between tra…
TAMPAR: Visual Tampering Detection for Parcel Logistics in Postal Supply Chains
Alexander Naumann, Felix Hertlein, Laura Dörr +1
Due to the steadily rising amount of valuable goods in supply chains, tampering detection for parcels is becoming increasingly important. In this work, we focus on the use-case las…
Parcel3D: Shape Reconstruction from Single RGB Images for Applications in Transportation Logistics
Alexander Naumann, Felix Hertlein, Laura Dörr +1
We focus on enabling damage and tampering detection in logistics and tackle the problem of 3D shape reconstruction of potentially damaged parcels. As input we utilize single RGB im…
Literature Review: Computer Vision Applications in Transportation Logistics and Warehousing
Alexander Naumann, Felix Hertlein, Laura Dörr +2
Computer vision applications in transportation logistics and warehousing have a huge potential for process automation. We present a structured literature review on research in the…
Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics
Alexander Naumann, Felix Hertlein, Benchun Zhou +2
State-of-the-art approaches in computer vision heavily rely on sufficiently large training datasets. For real-world applications, obtaining such a dataset is usually a tedious task…
TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases
Laura Dörr, Felix Brandt, Alexander Naumann +1
While common image object detection tasks focus on bounding boxes or segmentation masks as object representations, we consider the problem of finding objects based on four arbitrar…
An Image Processing Pipeline for Automated Packaging Structure Recognition
Laura Dörr, Felix Brandt, Martin Pouls +1
Dispatching and receiving logistics goods, as well as transportation itself, involve a high amount of manual efforts. The transported goods, including their packaging and labeling,…
Fully-Automated Packaging Structure Recognition in Logistics Environments
Laura Dörr, Felix Brandt, Martin Pouls +1
Within a logistics supply chain, a large variety of transported goods need to be handled, recognized and checked at many different network points. Often, huge manual effort is invo…
Refined Plane Segmentation for Cuboid-Shaped Objects by Leveraging Edge Detection
Alexander Naumann, Laura Dörr, Niels Ole Salscheider +1
Recent advances in the area of plane segmentation from single RGB images show strong accuracy improvements and now allow a reliable segmentation of indoor scenes into planes. Nonet…