diff --git a/Docs/ref_sensors.md b/Docs/ref_sensors.md
index 616d9da3a..5e5ee9553 100644
--- a/Docs/ref_sensors.md
+++ b/Docs/ref_sensors.md
@@ -478,7 +478,7 @@ A Lidar measurement contains a packet with all the points generated during a `1/
where a is the attenuation coefficient and d is the distance to the sensor.
-In order to increase the realism we add the possibiliy of dropping cloud points. This is done in two different ways. In a general way, we can randomly drop points with a probability given by dropoff_general_rate.
+In order to increase the realism, we add the possibiliy of dropping cloud points. This is done in two different ways. In a general way, we can randomly drop points with a probability given by dropoff_general_rate. In this case the drop off of points is done before tracing the ray cast so adjust this parameter can actually increase our performance. If that parameter is set to zero it will be ignored. The second way to regulate the drop off of points is in a rate proportional to the intensity. This drop off rate will be proportional to the intensity from zero drop off at dropoff_intensity_limit to dropoff_zero_intensity at zero intensity.
This output contains a cloud of simulation points and thus, can be iterated to retrieve a list of their [`carla.Location`](python_api.md#carla.Location):
diff --git a/PythonAPI/docs/geom.yml b/PythonAPI/docs/geom.yml
index e3136b5e7..56a59b53c 100644
--- a/PythonAPI/docs/geom.yml
+++ b/PythonAPI/docs/geom.yml
@@ -335,6 +335,16 @@
doc: >
Computes an up vector using its rotation.
# --------------------------------------
+ - def_name: get_matrix
+ return: list(list(float))
+ doc: >
+ Computes the 4-matrix representation of the transformation.
+ # --------------------------------------
+ - def_name: get_inverse_matrix
+ return: list(list(float))
+ doc: >
+ Computes the 4-matrix representation of the inverse transformation.
+ # --------------------------------------
- def_name: __eq__
return: bool
params: