This paper proposes a localization-based interface for semi-automated crane movement, allowing the crane to navigate to the operator's position via a low-cost Ultra-Wideband (UWB) tag. This could reduce the cognitive load induced by traditional interfaces and improve safety and productivity. Due to the hardware-specific challenges to access Channel Impulse Response (CIR) data in low-cost modules, various mitigation strategies for Non-Line-of-Sight (NLOS) conditions were evaluated. This study examines the exact scenario and implications for anchor placements with a simulated approach and then real-world measurements to examine localization methods. A robotic total station provided the ground truth for tracking the end-effector of a truck-mounted concrete pump as a proxy for crane operations. The evaluation of different localization algorithms, including Non-linear Least Squares, Least Median of Squares, residual based weighting and an RSSI-weighted approach demonstrates that integrating temporal consistency and RSSI values significantly improves robustness against NLOS outliers at a low computational cost. Vertical accuracy was limited by a poor Vertical Dilution of Precision (VDOP) during testing, due to coplanar anchor arrangements. However horizontal positioning remained stable. The findings suggest that the proposed system proves its viability for enhancing the intuitive operation of compact construction machinery in complex environments, but situations where the majority of anchors experience NLOS need to be avoided with proper anchor placements.