Search Results for author:
Found 4 papers, 0 papers with code
Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution
We present a new method to combine evidential top-view grid maps estimated based on heterogeneous sensor sources.
Mapping LiDAR and Camera Measurements in a Dual Top-View Grid Representation Tailored for Automated Vehicles
We present a generic evidential grid mapping pipeline designed for imaging sensors such as LiDARs and cameras.
Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data
This representation allows us to use well-studied deep learning architectures from the image domain to predict a dense semantic grid map using only the sparse input data of a single LiDAR scan.
Learned Enrichment of Top-View Grid Maps Improves Object Detection
We propose an object detector for top-view grid maps which is additionally trained to generate an enriched version of its input.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
