Video supported efficient driving remotely and autonomously (VEDA)

Purpose and goal

The purpose is to develop and validate an operator‑centred teleoperation solution for mining that improves depth perception and situational awareness on standard 2D displays. The objectives are to increase efficiency, reduce disturbances, and enhance operator experience using adaptive visual augmentation, AI‑based adaptation, and robust low‑latency video delivery, and to demonstrate the solution in realistic mining environments.

Expected effects and result

Expected results include a validated teleoperation solution that improves depth perception, situational awareness, and video quality in remote operation. Effects are increased productivity, fewer operational disturbances, improved working conditions, and reduced cognitive load. The project also contributes to resilient digital infrastructure, strengthens industrial competitiveness, and enables transfer to other sectors.

Planned approach and implementation

The project is carried out in close collaboration between industry and research. Activities include development and integration of adaptive visual augmentation and low‑latency video communication, followed by testing in controlled settings and validation in realistic mining environments. The solution is evaluated through performance,Quality of Experience and User Experience measurements, with iterative improvements based on results and user feedback.