165 citations · 366 across the 39 of their papers we have counts for
43 papers
PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimation
Soubarna Banik, Edvard Avagyan, Sayantan Auddy +2
Existing skeleton-based 3D human pose estimation methods only predict joint positions. Although the yaw and pitch of bone rotations can be derived from joint positions, the roll ar…
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…
Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration with Correspondences
Xinyi Li, Hu Cao, Yinlong Liu +3
Estimating the rigid transformation between two LiDAR scans through putative 3D correspondences is a typical point cloud registration paradigm. Current 3D feature matching approach…
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…
Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation
Soubarna Banik, Patricia Gschoßmann, Alejandro Mendoza Garcia +1
Occlusion is an omnipresent challenge in 3D human pose estimation (HPE). In spite of the large amount of research dedicated to 3D HPE, only a limited number of studies address the…
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
Tianhang Wang, Guang Chen, Kai Chen +4
Multi-agent collaborative perception (MCP) has recently attracted much attention. It includes three key processes: communication for sharing, collaboration for integration, and rec…
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Haotian Liu, Guang Chen, Sanqing Qu +4
Event cameras have the ability to record continuous and detailed trajectories of objects with high temporal resolution, thereby providing intuitive motion cues for optical flow est…
Fast and Accurate Object Detection on Asymmetrical Receptive Field
Tianhao Lin
Object detection has been used in a wide range of industries. For example, in autonomous driving, the task of object detection is to accurately and efficiently identify and locate…
USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving
Brian Hsuan-Cheng Liao, Chih-Hong Cheng, Hasan Esen +1
In this work, we consider the safety-oriented performance of 3D object detectors in autonomous driving contexts. Specifically, despite impressive results shown by the mass literatu…
Real-Time And Robust 3D Object Detection with Roadside LiDARs
Walter Zimmer, Jialong Wu, Xingcheng Zhou +1
This work aims to address the challenges in autonomous driving by focusing on the 3D perception of the environment using roadside LiDARs. We design a 3D object detection model that…
Accurate and Real-time Pseudo Lidar Detection: Is Stereo Neural Network Really Necessary?
Haitao Meng, Changcai Li, Gang Chen +1
The proposal of Pseudo-Lidar representation has significantly narrowed the gap between visual-based and active Lidar-based 3D object detection. However, current researches exclusiv…
Robot Self-Calibration Using Actuated 3D Sensors
Arne Peters
Both, robot and hand-eye calibration haven been object to research for decades. While current approaches manage to precisely and robustly identify the parameters of a robot's kinem…
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…
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
Ekim Yurtsever, Emeç Erçelik, Mingyu Liu +6
State-of-the-art lidar-based 3D object detection methods rely on supervised learning and large labeled datasets. However, annotating lidar data is resource-consuming, and depending…
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…
Intelligent Transportation Systems Using External Infrastructure: A Literature Survey
Christian Creß, Zhenshan Bing, Alois C. Knoll
The main problems in transportation are accidents, increasingly slow traffic flow, and pollution. An intelligent transportation system (ITS) using external infrastructure can overc…
TridentAdapt: Learning Domain-invariance via Source-Target Confrontation and Self-induced Cross-domain Augmentation
Fengyi Shen, Akhil Gurram, Ahmet Faruk Tuna +2
Due to the difficulty of obtaining ground-truth labels, learning from virtual-world datasets is of great interest for real-world applications like semantic segmentation. From domai…
A Biologically-Inspired Simultaneous Localization and Mapping System Based on LiDAR Sensor
Genghang Zhuang, Zhenshan Bing, Yuhong Huang +2
Simultaneous localization and mapping (SLAM) is one of the essential techniques and functionalities used by robots to perform autonomous navigation tasks. Inspired by the rodent hi…
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…
3D Human Pose Regression using Graph Convolutional Network
Soubarna Banik, Alejandro Mendoza Gracia, Alois Knoll
3D human pose estimation is a difficult task, due to challenges such as occluded body parts and ambiguous poses. Graph convolutional networks encode the structural information of t…