44 citations · 94 across the 15 of their papers we have counts for
23 papers
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…
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…
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…
Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation
Soubarna Banik, Alejandro Mendoza Garcia, Lorenz Kiwull +2
Posture estimation using a single depth camera has become a useful tool for analyzing movements in rehabilitation. Recent advances in posture estimation in computer vision research…
Grasp Planning for Flexible Production with Small Lot Sizes based on CAD models using GPIS and Bayesian Optimization
Jianjie Lin, Markus Rickert, Alois Knoll
Grasp planning for multi-fingered hands is still a challenging task due to the high nonlinear quality metrics, the high dimensionality of hand posture configuration, and complex ob…
Temp-Frustum Net: 3D Object Detection with Temporal Fusion
Emeç Erçelik, Ekim Yurtsever, Alois Knoll
3D object detection is a core component of automated driving systems. State-of-the-art methods fuse RGB imagery and LiDAR point cloud data frame-by-frame for 3D bounding box regres…