Bastian Lampe

According to our database, Bastian Lampe authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time.

Raphael van Kempen, Tim Rehbronn, Abin Jose, Johannes Stegmaier, Bastian Lampe, Timo Woopen, Lutz Eckstein

CoRR, 2024

2023

Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic.

Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe, Timo Woopen, Lutz Eckstein

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS.

Bastian Lampe, Lennart Reiher, Lukas Zanger, Timo Woopen, Raphael van Kempen, Lutz Eckstein

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data.

Raphael van Kempen, Bastian Lampe, Lennart Reiher, Timo Woopen, Till Beemelmanns, Lutz Eckstein

CoRR, 2022

Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection.

Lennart Reiher, Bastian Lampe, Timo Woopen, Raphael van Kempen, Till Beemelmanns, Lutz Eckstein

CoRR, 2022

3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods.

Till Beemelmanns, Yuchen Tao, Bastian Lampe, Lennart Reiher, Raphael van Kempen, Timo Woopen, Lutz Eckstein

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Generic Approach to Optimized Placement of Smart Roadside Infrastructure Sensors Using 3D Digital Maps.

Laurent Kloeker, Julian Quakernack, Bastian Lampe, Lutz Eckstein

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping.

Raphael van Kempen, Bastian Lampe, Timo Woopen, Lutz Eckstein

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model.

Bastian Lampe, Raphael van Kempen, Timo Woopen, Alexandru Kampmann, Bassam Alrifaee, Lutz Eckstein

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View.

Lennart Reiher, Bastian Lampe, Lutz Eckstein

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Agile Requirement Engineering for a Cloud System for Automated and Networked Vehicles.

Armin Mokhtarian, Alexandru Kampmann, Bassam Alrifaee, Stefan Kowalewski, Bastian Lampe, Lutz Eckstein

Proceedings of the 2nd International Workshop on Autonomous Systems Design, 2020