Sascha Wirges

Orcid: 0009-0003-3316-4140

According to our database1, Sascha Wirges authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Dual Evidential Top-View Representation to Model the Semantic Environment of Automated Vehicles.
IEEE Trans. Intell. Veh., January, 2024

2022
Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution.
CoRR, 2022

Mapping LiDAR and Camera Measurements in a Dual Top-View Grid Representation Tailored for Automated Vehicles.
CoRR, 2022

Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Traffic Scene Perception for Automated Driving with Top-View Grid Maps.
PhD thesis, 2021

Semantic Evidential Grid Mapping Using Monocular and Stereo Cameras.
Sensors, 2021

Fast and Robust Ground Surface Estimation from LiDAR Measurements using Uniform B-Splines.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Semantic Evidential Grid Mapping based on Stereo Vision.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020

Single-Stage Object Detection from Top-View Grid Maps on Custom Sensor Setups.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Learned Enrichment of Top-View Grid Maps Improves Object Detection.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Real-time 3D LiDAR Flow for Autonomous Vehicles.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Self-Supervised Flow Estimation using Geometric Regularization with Applications to Camera Image and Grid Map Sequences.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Automatic Generation of Training Data for Image Classification of Road Scenes.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Localization in Aerial Imagery with Grid Maps using LocGAN.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Making Bertha Cooperate-Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge.
IEEE Trans. Intell. Transp. Syst., 2018

Evidential Occupancy Grid Map Augmentation using Deep Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

An Approach to Vehicle Trajectory Prediction Using Automatically Generated Traffic Maps.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Object Detection and Classification in Occupancy Grid Maps Using Deep Convolutional Networks.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Fast and Robust Vehicle Pose Estimation by Optimizing Multiple Pose Graphs.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Guided depth upsampling for precise mapping of urban environments.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

2016
Robot operating system: A modular software framework for automated driving.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016


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