diff --git a/selfdrive/locationd/torqued.py b/selfdrive/locationd/torqued.py
index c4f21c85b8..1cea49c436 100755
--- a/selfdrive/locationd/torqued.py
+++ b/selfdrive/locationd/torqued.py
@@ -41,25 +41,29 @@ def slope2rot(slope):
   return np.array([[cos, -sin], [sin, cos]])
 
 
+MIN_LAG_VEL = 15.0
 MAX_SANE_LAG = 3.0
-MIN_HIST_LEN_SEC = 20
+MIN_HIST_LEN_SEC = 30
 MAX_HIST_LEN_SEC = 120
-MOVING_AVERAGE_WINDOW = 20
-MIN_LAG_VEL = 15.0
+MAX_LAG_HIST_LEN_SEC = 300
+MOVING_CORR_WINDOW = 30
+OVERLAP_FACTOR = 0.25
 
 class LagEstimator(ParameterEstimator):
   def __init__(self, CP, dt):
     self.dt = dt
-    self.hist_len = int(MAX_HIST_LEN_SEC / self.dt)
     self.min_hist_len = int(MIN_HIST_LEN_SEC / self.dt)
+    self.window_len = int(MOVING_CORR_WINDOW / self.dt)
     self.initial_lag = CP.steerActuatorDelay
     self.current_lag = self.initial_lag
 
     self.lat_active = False
     self.steering_pressed = False
     self.v_ego = 0.0
-    self.lags = deque(maxlen=int(MOVING_AVERAGE_WINDOW / 0.25))
-    self.points = defaultdict(lambda: deque(maxlen=self.hist_len))
+    self.lags = deque(maxlen= int(MAX_LAG_HIST_LEN_SEC / (MOVING_CORR_WINDOW * OVERLAP_FACTOR)))
+    self.curvature = deque(maxlen=int(MAX_HIST_LEN_SEC / self.dt))
+    self.desired_curvature = deque(maxlen=int(MAX_HIST_LEN_SEC / self.dt))
+    self.frame = 0
 
   def correlation_lags(self, sig_len, dt):
     return np.arange(0, sig_len) * dt
@@ -88,31 +92,33 @@ class LagEstimator(ParameterEstimator):
     elif which == "controlsState":
       curvature = msg.curvature
       desired_curvature = msg.desiredCurvature
-      if self.lat_active and not self.steering_pressed and self.v_ego > MIN_LAG_VEL:
-        self.points['curvature'].append((t, curvature))
-        self.points['desired_curvature'].append((t, desired_curvature))
+      if self.lat_active and not self.steering_pressed:
+        self.curvature.append((t, curvature))
+        self.desired_curvature.append((t, desired_curvature))
+    self.frame += 1
 
   def get_msg(self, valid: bool, with_points: bool):
-    if len(self.points['curvature']) >= self.min_hist_len and self.v_ego > MIN_LAG_VEL:
-      _, curvature = zip(*self.points['curvature'])
-      _, desired_curvature = zip(*self.points['desired_curvature'])
-      delay_curvature, _ = self.actuator_delay(curvature, desired_curvature, self.dt)
-
-      self.lags.append(delay_curvature)
+    if len(self.curvature) >= self.min_hist_len:
+      if self.frame % int(self.window_len * OVERLAP_FACTOR) == 0:
+        _, curvature = zip(*self.curvature)
+        _, desired_curvature = zip(*self.desired_curvature)
+        delay_curvature, _ = self.actuator_delay(curvature[-self.window_len:], desired_curvature[-self.window_len:], self.dt)
+
+        if delay_curvature != 0.0:
+          self.lags.append(delay_curvature)
       steer_actuation_delay = float(np.mean(self.lags))
     else:
       steer_actuation_delay = self.initial_lag
-      self.lags.append(self.initial_lag)
 
     msg = messaging.new_message('liveActuatorDelay')
     msg.valid = valid
 
     liveActuatorDelay = msg.liveActuatorDelay
     liveActuatorDelay.steerActuatorDelay = steer_actuation_delay
-    liveActuatorDelay.totalPoints = len(self.points['curvature'])
+    liveActuatorDelay.totalPoints = len(self.curvature)
 
     if with_points:
-      liveActuatorDelay.points = [[c, dc] for ((_, c), (_, dc)) in zip(self.points['curvature'], self.points['desired_curvature'])]
+      liveActuatorDelay.points = [[c, dc] for ((_, c), (_, dc)) in zip(self.curvature, self.desired_curvature)]
 
     return msg