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Cornelius von Einem

3 accepted papers

2024

VIRUS-NeRF - Vision, InfraRed and UltraSonic based Neural Radiance Fields

IROS 2024poster

Autonomous mobile robots are an increasingly integral part of modern factory and warehouse operations. Obstacle detection, avoidance and path planning are critical safety-relevant tasks, which are often solved using expensive LiDAR sensors and depth cameras. We propose to use cost-effective low-reso…

Cited by 2SourcecodeScholar
2023

Local and Global Information in Obstacle Detection on Railway Tracks

IROS 2023poster

Reliable obstacle detection on railways could help prevent collisions that result in injuries and potentially damage or derail the train. Unfortunately, generic object detectors do not have enough classes to account for all possible scenarios, and datasets featuring objects on railways are challengi…

Cited by 11SourceScholar
2021

Hough$2$Map - Iterative Event-Based Hough Transform for High-Speed Railway Mapping

RA-L 2021

To cope with the growing demand for transportation on the railway system, accurate, robust, and high-frequency positioning is required to enable a safe and efficient utilization of the existing railway infrastructure. As a basis for a localization system we propose a complete on-board mapping pipeli

Cited by 22SourcecodeScholar