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counteract quadratic signal drop

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Laura Klünder 2017-12-26 13:13:41 +01:00
parent 063a59006b
commit 8b2872866a
1 changed files with 3 additions and 3 deletions
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6
src/c3nav/routing/locator.py
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@ -120,14 +120,14 @@ class LocatorSpace:
self.stations = tuple(self.stations_set) self.stations = tuple(self.stations_set)
self.stations_lookup = {station_id: i for i, station_id in enumerate(self.stations)} self.stations_lookup = {station_id: i for i, station_id in enumerate(self.stations)}
self.levels = np.full((len(self.points), len(self.stations)), fill_value=-100, dtype=np.int16) self.levels = np.full((len(self.points), len(self.stations)), fill_value=(-90)**2, dtype=np.int32)
for i, point in enumerate(self.points): for i, point in enumerate(self.points):
for station_id, value in point.values.items(): for station_id, value in point.values.items():
self.levels[i][self.stations_lookup[station_id]] = value self.levels[i][self.stations_lookup[station_id]] = value**2
def get_best_point(self, scan_values, station_ids): def get_best_point(self, scan_values, station_ids):
stations = tuple(self.stations_lookup[station_id] for station_id in station_ids) stations = tuple(self.stations_lookup[station_id] for station_id in station_ids)
values = np.array(tuple(scan_values[station_id] for station_id in station_ids), dtype=np.int16) values = np.array(tuple(scan_values[station_id]**2 for station_id in station_ids), dtype=np.int32)
scores = np.sum((self.levels[:, stations]-values)**2, axis=1) scores = np.sum((self.levels[:, stations]-values)**2, axis=1)
best_point = np.argmin(scores).ravel()[0] best_point = np.argmin(scores).ravel()[0]
return self.points[best_point], scores[best_point] return self.points[best_point], scores[best_point]