3 papers
cs.RO2026
Graph Theoretical Outlier Rejection for 4D Radar Registration in Feature-Poor Environments
Georg Dorndorf, Daniel Adolfsson, Masrur Doostdar
Automotive 4D imaging radar is well suited for operation in dusty and low-visibility environments, but scan registration remains challenging due to scan sparsity and spurious detec…
cs.RO2026
CFEAR-Teach-and-Repeat: Fast and Accurate Radar-only Localization
Maximilian Hilger, Daniel Adolfsson, Ralf Becker +2
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-rep…
cs.RO2025
Introspective Loop Closure for SLAM with 4D Imaging Radar
Maximilian Hilger, VladimÃr Kubelka, Daniel Adolfsson +3
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 too…