2 citations · 3 across the 7 of their papers we have counts for
13 papers
Mapping LiDAR and Camera Measurements in a Dual Top-View Grid Representation Tailored for Automated Vehicles
Sven Richter, Frank Bieder, Sascha Wirges +1
We present a generic evidential grid mapping pipeline designed for imaging sensors such as LiDARs and cameras. Our grid-based evidential model contains semantic estimates for cell…
Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution
Sven Richter, Frank Bieder, Sascha Wirges +1
We present a new method to combine evidential top-view grid maps estimated based on heterogeneous sensor sources. Dempster's combination rule that is usually applied in this contex…
Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines
Sascha Wirges, Kevin Rösch, Frank Bieder +1
We propose a fast and robust method to estimate the ground surface from LIDAR measurements on an automated vehicle. The ground surface is modeled as a UBS which is robust towards v…
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation
Juncong Fei, Wenbo Chen, Philipp Heidenreich +2
3D pedestrian detection is a challenging task in automated driving because pedestrians are relatively small, frequently occluded and easily confused with narrow vertical objects. L…
Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data
Frank Bieder, Sascha Wirges, Johannes Janosovits +3
In this paper, we consider the transformation of laser range measurements into a top-view grid map representation to approach the task of LiDAR-only semantic segmentation. Since th…
Learned Enrichment of Top-View Grid Maps Improves Object Detection
Sascha Wirges, Ye Yang, Sven Richter +2
We propose an object detector for top-view grid maps which is additionally trained to generate an enriched version of its input. Our goal in the joint model is to improve generaliz…