19 citations · 91 across the 12 of their papers we have counts for
13 papers
Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Olaf Wysocki, Yan Xia, Magdalena Wysocki +4
Reconstructing semantic 3D building models at the level of detail (LoD) 3 is a long-standing challenge. Unlike mesh-based models, they require watertight geometry and object-wise s…
TUM-FAÇADE: Reviewing and enriching point cloud benchmarks for façade segmentation
Olaf Wysocki, Ludwig Hoegner, Uwe Stilla
Point clouds are widely regarded as one of the best dataset types for urban mapping purposes. Hence, point cloud datasets are commonly investigated as benchmark types for various u…
Combining visibility analysis and deep learning for refinement of semantic 3D building models by conflict classification
Olaf Wysocki, Eleonora Grilli, Ludwig Hoegner +1
Semantic 3D building models are widely available and used in numerous applications. Such 3D building models display rich semantics but no façade openings, chiefly owing to their ae…
CASSPR: Cross Attention Single Scan Place Recognition
Yan Xia, Mariia Gladkova, Rui Wang +4
Place recognition based on point clouds (LiDAR) is an important component for autonomous robots or self-driving vehicles. Current SOTA performance is achieved on accumulated LiDAR…
A Lightweight and Detector-free 3D Single Object Tracker on Point Clouds
Yan Xia, Qiangqiang Wu, Wei Li +2
Recent works on 3D single object tracking treat the task as a target-specific 3D detection task, where an off-the-shelf 3D detector is commonly employed for the tracking. However,…
MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors
Björn Borgmann, Volker Schatz, Marcus Hammer +3
We present the current state of development of the sensor-equipped car MODISSA, with which Fraunhofer IOSB realizes a configurable experimental platform for hardware evaluation and…
Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features
Rong Huang, Wei Yao, Yusheng Xu +2
Registration is a fundamental but critical task in point cloud processing, which usually depends on finding element correspondence from two point clouds. However, the finding of re…
ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion
Yaqi Xia, Yan Xia, Wei Li +3
We tackle the problem of object completion from point clouds and propose a novel point cloud completion network employing an Asymmetrical Siamese Feature Matching strategy, termed…
GraNet: Global Relation-aware Attentional Network for ALS Point Cloud Classification
Rong Huang, Yusheng Xu, Uwe Stilla
In this work, we propose a novel neural network focusing on semantic labeling of ALS point clouds, which investigates the importance of long-range spatial and channel-wise relation…
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
Yan Xia, Yusheng Xu, Shuang Li +4
We tackle the problem of place recognition from point cloud data and introduce a self-attention and orientation encoding network (SOE-Net) that fully explores the relationship betw…
VPC-Net: Completion of 3D Vehicles from MLS Point Clouds
Yan Xia, Yusheng Xu, Cheng Wang +1
As a dynamic and essential component in the road environment of urban scenarios, vehicles are the most popular investigation targets. To monitor their behavior and extract their ge…
A Synchronized Stereo and Plenoptic Visual Odometry Dataset
Niclas Zeller, Franz Quint, Uwe Stilla
We present a new dataset to evaluate monocular, stereo, and plenoptic camera based visual odometry algorithms. The dataset comprises a set of synchronized image sequences recorded…
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection
Dimitrios Marmanis, Konrad Schindler, Jan Dirk Wegner +3
We present an end-to-end trainable deep convolutional neural network (DCNN) for semantic segmentation with built-in awareness of semantically meaningful boundaries. Semantic segmen…