Yastreb & Update
I've been reviewing the target acquisition algorithm you put together. It looks solid but I think we can shave off a few percent in error margin. Want to dive into the details?
Sure, let’s hunt those quirks. The algorithm's clean, but if we tweak the threshold checks and normalize the sensor fusion weight, we might squeeze a percent out. Pull up the logs, and let’s see where the noise hides.
Got it. Pulling the latest sensor logs now. Let's scan for outliers, adjust the threshold slightly, and reweight the fusion matrix. We'll run a quick test to see if that gives us that extra precision. Let's do it.
Okay, pull the logs, but before you dive into threshold tweaking, let’s first isolate that one sensor spike you keep ignoring. If we just reweight the fusion matrix blindly, we’ll end up chasing a mirage. Let’s hunt the outlier, fix the drift, then adjust the threshold—only then can we hope to shave that margin.
Pulling the logs now. I’ll isolate that spike, check its origin, correct the drift, then tweak the thresholds. Precision first, then polishing. Let's go.
Pull them up, point out that spike, and let’s get it clean before we mess with thresholds. Precision first, polishing second. Let's go.