diff --git a/gtsam/slam/tests/testSmartProjectionFactor.cpp b/gtsam/slam/tests/testSmartProjectionFactor.cpp
index 16eca6584..6455db31b 100644
--- a/gtsam/slam/tests/testSmartProjectionFactor.cpp
+++ b/gtsam/slam/tests/testSmartProjectionFactor.cpp
@@ -812,6 +812,64 @@ TEST(SmartProjectionFactor, implicitJacobianFactor ) {
 }
 
 
+/* *************************************************************************/
+TEST(SmartProjectionFactor, smartFactorWithSensorBodyTransform) {
+  using namespace vanilla;
+
+  // create arbitrary body_T_sensor (transforms from sensor to body)
+  Pose3 body_T_sensor = Pose3(Rot3::Ypr(-M_PI / 2, 0., -M_PI / 2), Point3(1, 1, 1));
+
+  // These are the poses we want to estimate, from camera measurements
+  const Pose3 sensor_T_body = body_T_sensor.inverse();
+  Pose3 wTb1 = cam1.pose() * sensor_T_body;
+  Pose3 wTb2 = cam2.pose() * sensor_T_body;
+  Pose3 wTb3 = cam3.pose() * sensor_T_body;
+
+  // three landmarks ~5 meters infront of camera
+  Point3 landmark1(5, 0.5, 1.2), landmark2(5, -0.5, 1.2), landmark3(5, 0, 3.0);
+
+  Point2Vector measurements_cam1, measurements_cam2, measurements_cam3;
+
+  // Project three landmarks into three cameras
+  projectToMultipleCameras(cam1, cam2, cam3, landmark1, measurements_cam1);
+  projectToMultipleCameras(cam1, cam2, cam3, landmark2, measurements_cam2);
+  projectToMultipleCameras(cam1, cam2, cam3, landmark3, measurements_cam3);
+
+  // Create smart factors
+  KeyVector views {1, 2, 3};
+
+  SmartProjectionParams params;
+  params.setRankTolerance(1.0);
+  params.setDegeneracyMode(IGNORE_DEGENERACY);
+  params.setEnableEPI(false);
+
+  SmartFactor smartFactor1(unit2, body_T_sensor, params);
+  smartFactor1.add(measurements_cam1, views);
+
+  SmartFactor smartFactor2(unit2, body_T_sensor, params);
+  smartFactor2.add(measurements_cam2, views);
+
+  SmartFactor smartFactor3(unit2, body_T_sensor, params);
+  smartFactor3.add(measurements_cam3, views);
+
+  const SharedDiagonal noisePrior = noiseModel::Isotropic::Sigma(6, 0.10);
+
+  // Put all factors in factor graph, adding priors
+  NonlinearFactorGraph graph;
+  graph.push_back(smartFactor1);
+  graph.push_back(smartFactor2);
+  graph.push_back(smartFactor3);
+
+  // Check errors at ground truth poses
+  Values gtValues;
+  gtValues.insert(1, cam1);
+  gtValues.insert(2, cam2);
+  gtValues.insert(3, cam3);
+  double actualError = graph.error(gtValues);
+  double expectedError = 0.0;
+  DOUBLES_EQUAL(expectedError, actualError, 1e-7);
+}
+
 /* ************************************************************************* */
 BOOST_CLASS_EXPORT_GUID(gtsam::noiseModel::Constrained, "gtsam_noiseModel_Constrained");
 BOOST_CLASS_EXPORT_GUID(gtsam::noiseModel::Diagonal, "gtsam_noiseModel_Diagonal");