diff --git a/README.md b/README.md
index bd7f54704..f8e052bc7 100644
--- a/README.md
+++ b/README.md
@@ -67,8 +67,8 @@ This project adheres to the [JuliaRobotics code of conduct](https://github.com/J
 [cjl-cov-url]: https://codecov.io/github/JuliaRobotics/Caesar.jl?branch=master
 [cjl-ci-dev-img]: https://github.com/JuliaRobotics/Caesar.jl/actions/workflows/ci.yml/badge.svg
 [cjl-ci-dev-url]: https://github.com/JuliaRobotics/Caesar.jl/actions/workflows/ci.yml
-[cjl-ci-stb-img]: https://travis-ci.org/JuliaRobotics/Caesar.jl.svg?branch=release/v0.10
-[cjl-ci-stb-url]: https://travis-ci.org/JuliaRobotics/Caesar.jl
+[cjl-ci-stb-img]: https://github.com/JuliaRobotics/Caesar.jl/actions/workflows/ci.yml/badge.svg
+[cjl-ci-stb-url]: https://github.com/JuliaRobotics/Caesar.jl/actions/workflows/ci.yml
 
 
 [cjl-stbl-img]: https://juliahub.com/docs/Caesar/version.svg
diff --git a/examples/dev/RoomPillarsModes.jl b/examples/dev/RoomPillarsModes.jl
new file mode 100644
index 000000000..f3df18f04
--- /dev/null
+++ b/examples/dev/RoomPillarsModes.jl
@@ -0,0 +1,74 @@
+# quick scatter align test
+
+using Revise
+using Caesar, Images
+using GLMakie
+using TensorCast
+
+##
+
+world_model = zeros(0,2)
+offs = zeros(1,2)
+for y in -9.5:1:9.5, i in 1:100
+  offs[2] = y
+  world_model = vcat(world_model, 0.05*randn(1,2) + offs)
+end
+
+m1 = deepcopy(world_model)[300:700,:]
+
+world_model = world_model[shuffle(1:size(world_model,1)), :]
+m1 = m1[shuffle(1:size(m1,1)),:]
+
+##
+
+
+scatter(world_model)
+
+
+##
+
+fg = initfg()
+
+addVariable!(fg, :x0, Pose2)
+addVariable!(fg, :x1, Pose2)
+
+addFactor!(fg, [:x0], PriorPose2(MvNormal([0;0;0.], [1 0 0; 0 1 0; 0 0 0.1])))
+
+
+@cast wm_[i][d] := world_model[i,d]
+@cast m1_[i][d] := m1[i,d]
+
+wm__ = collect.(wm_)
+m1__ = collect.(m1_)
+
+bw = [0.1;0.1]
+cloud1=manikde!(Position2, wm__; bw)
+cloud2=manikde!(Position2, m1__; bw)
+
+sap = ScatterAlignPose2(;
+  cloud1,
+  cloud2,
+  sample_count = 500
+)
+
+addFactor!(fg, [:x0; :x1], sap)
+
+##
+
+x1 = approxConv(fg, :x0x1f1, :x1)
+xy = (s->s.x[1]).(x1)
+scatter(hcat(xy...)' )
+
+
+##
+
+
+nt = Caesar.overlayScatter(sap)
+plotScatterAlign(nt)
+
+##
+
+@cast pts[i,d] := pts_[i][d]
+scatter(pts)
+
+##
\ No newline at end of file
diff --git a/src/3rdParty/_PCL/services/ROSConversions.jl b/src/3rdParty/_PCL/services/ROSConversions.jl
index 2fdac7af2..8fe5d8bf8 100644
--- a/src/3rdParty/_PCL/services/ROSConversions.jl
+++ b/src/3rdParty/_PCL/services/ROSConversions.jl
@@ -6,6 +6,7 @@
 
 using .RobotOS
 
+# FIXME, note this is not working, functions using Main. as workaround
 @rosimport std_msgs.msg: Header
 @rosimport sensor_msgs.msg: PointField
 @rosimport sensor_msgs.msg: PointCloud2
diff --git a/src/images/images.jl b/src/images/images.jl
index ba3d36f17..6fedfb60e 100644
--- a/src/images/images.jl
+++ b/src/images/images.jl
@@ -16,14 +16,19 @@ Also see: [`toROSImage`](@ref)
 function toImage(msgd::Dict{String,Any})
   data = haskey(msgd, "data_b64") ? base64decode(msgd["data_b64"]) : UInt8.(msgd["data"])
   h, w = msgd["height"], msgd["width"]
-
-  if msgd["encoding"] == "mono8"
+  @show h, w, msgd["step"]
+  if msgd["encoding"] == "mono8" || msgd["encoding"] == "8UC1"
+    # img_ = normedview(N0f8, data)
+    # reshape(img_, w, h)'
     img = Matrix{Gray{N0f8}}(undef, h, w)
     # assuming one endian type for now, TODO both little and big endian
     for i in 1:h, j in 1:w
-      img[i,j] = Gray{N0f8}(data[msgd["step"]*(i-1)+j]/255)
+      img[i,j] = Gray{N0f8}(data[msgd["step"]*(i-1)+j]/(2^8 - 1))
     end
     img
+  elseif msgd["encoding"] == "mono16" || msgd["encoding"] == "16UC1"
+    img_ = normedview(N0f16, data)
+    reshape(img_, w, h)'
   else
     error("Conversion for ROS sensor_msgs.Image encoding not implemented yet $(msgd["encoding"])")
   end