This system helps a user accurately control a drone remotely despite delays in the video feed and control signals. It works by showing the user a delayed video from the drone, but with virtual markers and a simulated drone overlaid. This allows the user to anticipate how their commands will affect the actual drone after the delay, helping them make precise adjustments. The claims narrow the system to using pre-rendered overlays and timestamped messages to visualize this latency.
Why it matters: Filed before significant advancements in real-time graphics rendering and predictive AI models. These technologies now make the complex latency compensation and virtual overlays more robust and efficient to implement.
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