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-rw-r--r--changes.txt12
1 files changed, 9 insertions, 3 deletions
diff --git a/changes.txt b/changes.txt
index 3ed8ac9..3749448 100644
--- a/changes.txt
+++ b/changes.txt
@@ -17,6 +17,10 @@ initial depth from the reflection information. Better initialization should give
better results, because we can decrease P0 and rely on vision more. According to
Davison, setting P0 properly is important.
+Using the intitial depth estimate we get some simple sanity checks: is the
+feature above the water? Is the feature a reasonable distance away (greater than
+some minimum distance, closer than some maximum)?
+
Use least square to determine initial depth.
Set the height measurement using the rotation of the body, the approximate
@@ -31,6 +35,8 @@ According to Davison, measurements near the center of the image (the principal
point) are more accurate than those near the edges. Thus, we can adjust R
according to the distance.
-Using the intitial depth estimate we get some simple sanity checks: is the
-feature above the water? Is the feature a reasonable distance away (greater than
-some minimum distance, closer than some maximum)?
+Junho had the ability to handle both reflection features and just monocular
+points. I am adding the ability to promote a monocular point to a reflection
+feature. This will be fit into the EKF framework quite nicely by just altering
+the measurement model used during the filter update.
+