Claas-Norman Ritter — accepted AI-conference papers

2023

Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles

Bingyi Cao, Claas-Norman Ritter, Khaled Alomari, Daniel Goehring

IROS 2023poster

Cooperative Simultaneous Localization and Mapping (C-SLAM) is an active research topic in mobile robotics. However, its application in the field of autonomous driving is rare. While the advent of Vehicle-to-Everything (V2X) communication has empowered Connected Autonomous Vehicles (CAV) to exchange…

Cited by 7 Source ↗Scholar ↗

2021

Robust LiDAR Feature Localization for Autonomous Vehicles Using Geometric Fingerprinting on Open Datasets

Nicolai Steinke, Claas-Norman Ritter, Daniel Goehring, Raúl Rojas

RA-L 2021

Localization is a key task for autonomous vehicles. It is often solved with GNSS but due to multipath the performance is often not sufficient. Feature localization systems using LiDAR can deliver an accurate localization but the creation of the necessary feature maps is an effortful task. With digit

Cited by 15 Source ↗code ↗Scholar ↗