9 citations · 18 across the 6 of their papers we have counts for
6 papers
Multi-Task Consistency for Active Learning
Aral Hekimoglu, Philipp Friedrich, Walter Zimmer +3
Learning-based solutions for vision tasks require a large amount of labeled training data to ensure their performance and reliability. In single-task vision-based settings, inconsi…
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception
Walter Zimmer, Christian Creß, Huu Tung Nguyen +1
Intelligent Transportation Systems (ITS) allow a drastic expansion of the visibility range and decrease occlusions for autonomous driving. To obtain accurate detections, detailed l…
InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors
Walter Zimmer, Joseph Birkner, Marcel Brucker +4
Current multi-modal object detection approaches focus on the vehicle domain and are limited in the perception range and the processing capabilities. Roadside sensor units (RSUs) in…
A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research
Christian Creß, Walter Zimmer, Leah Strand +4
Data-intensive machine learning based techniques increasingly play a prominent role in the development of future mobility solutions - from driver assistance and automation function…
Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation
Walter Zimmer, Marcus Grabler, Alois Knoll
This work aims to address the challenges in domain adaptation of 3D object detection using infrastructure LiDARs. We design a model DASE-ProPillars that can detect vehicles in infr…
A Survey of Robust 3D Object Detection Methods in Point Clouds
Walter Zimmer, Emec Ercelik, Xingcheng Zhou +2
The purpose of this work is to review the state-of-the-art LiDAR-based 3D object detection methods, datasets, and challenges. We describe novel data augmentation methods, sampling…