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Boosting Excavator Precision & Safety with Smart Visualization

Technische Universität Dresden

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Challenges and solutions : Excavator operators face the demanding task of moving earth with centimeter - level precision while ensuring a safe work environment . Achieving this balance without disrupting workflow is a challenge — especially when relying on traditional displays and monitoring systems . Our innovative solution enhances 3 D machine control and collision warning systems by integrating advanced visualization , LiDAR sensors , and AI - driven person detection . By bringing critical data directly into the operator ’ s line of sight , we streamline decision - making and improve both performance and awareness . A high - visibility LED display mounted on the underside of the excavator arm shows real - time deviation from the target height , directly within the work zone . Simultaneously , a real - time topographic scan creates a color - coded map in the main display , aligning the current terrain with the digital design model . To elevate safety , a dynamic light strip around the front cabin window visualizes the position and movement of people in hazardous zones . This intuitive alert system enables operators to quickly assess potential risks without diverting attention to multiple monitors . With our system , operators gain a seamless blend of precision , safety , and situational awareness — all without interrupting the flow of work . LinkedIn Impact : By merging intelligent visualization with real - time environmental data , our system significantly reduces operational errors , increases efficiency , and minimizes the risk of accidents on site . Operators experience less cognitive load , improved situational awareness , and greater confidence in complex or crowded work environments . Early deployments have shown measurable improvements in productivity and safety , making it an ideal solution for both high - precision tasks and dynamic construction sites . Next steps include the evaluation of the systems in different construction machines with key industry partners and refine the AI detection models through field data . This work is part of the THEIA project that received funding from the European Union‘s Horizon Europe research and innovation program under grant agreement no. 101092861. XR theia-xr.eu KEY BENEFITS Increased safety through intuitive, AIdriven person detection Enhanced precision with real-time height and terrain feedback Reduced operator workload with insight visual guidance Boosting Excavator Precision & Safety with Smart Visualization Figure 1: Smart Visualisation on the example of Excavator Use Case