Ralf Becker — accepted AI-conference papers

2026

CFEAR-Teach-And-Repeat: Fast and Accurate Radar-Only Localization

Maximilian Hilger, Daniel Adolfsson, Ralf Becker, Henrik Andreasson, Achim J. Lilienthal

ICRA 2026poster

Reliable localization in prior maps is essential for autonomous navigation, particularly under adverse weather, where optical sensors may fail. We present CFEAR-TR, a teach-and-repeat localization pipeline using a single spinning radar, which is designed for easily deployable, lightweight, and robus…

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2025

Introspective Loop Closure for SLAM with 4D Imaging Radar

Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson, Ralf Becker, Henrik Andreasson, Achim J. Lilienthal

ICRA 2025

Simultaneous Localization and Mapping (SLAM) allows mobile robots to navigate without external positioning systems or pre-existing maps. Radar is emerging as a valuable sensing tool, especially in vision-obstructed environments, as it is less affected by particles than lidars or cameras. Modern 4D i

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