diff --git a/matlab/unstable_examples/IMUKittiExampleAdvanced.m b/matlab/unstable_examples/IMUKittiExampleAdvanced.m
index 1db60a5ad..dfca798c6 100644
--- a/matlab/unstable_examples/IMUKittiExampleAdvanced.m
+++ b/matlab/unstable_examples/IMUKittiExampleAdvanced.m
@@ -7,7 +7,7 @@ disp('Example of application of ISAM2 for visual-inertial navigation on the KITT
 %% Read metadata and compute relative sensor pose transforms
 % IMU metadata
 disp('-- Reading sensor metadata')
-IMU_metadata = importdata('KittiEquivBiasedImu_metadata.txt');
+IMU_metadata = importdata(findExampleDataFile('KittiEquivBiasedImu_metadata.txt'));
 IMU_metadata = cell2struct(num2cell(IMU_metadata.data), IMU_metadata.colheaders, 2);
 IMUinBody = Pose3.Expmap([IMU_metadata.BodyPtx; IMU_metadata.BodyPty; IMU_metadata.BodyPtz;
   IMU_metadata.BodyPrx; IMU_metadata.BodyPry; IMU_metadata.BodyPrz; ]);
@@ -16,14 +16,14 @@ if ~IMUinBody.equals(Pose3, 1e-5)
 end
 
 % VO metadata
-VO_metadata = importdata('KittiRelativePose_metadata.txt');
+VO_metadata = importdata(findExampleDataFile('KittiRelativePose_metadata.txt'));
 VO_metadata = cell2struct(num2cell(VO_metadata.data), VO_metadata.colheaders, 2);
 VOinBody = Pose3.Expmap([VO_metadata.BodyPtx; VO_metadata.BodyPty; VO_metadata.BodyPtz;
   VO_metadata.BodyPrx; VO_metadata.BodyPry; VO_metadata.BodyPrz; ]);
 VOinIMU = IMUinBody.inverse().compose(VOinBody);
 
 % GPS metadata
-GPS_metadata = importdata('KittiGps_metadata.txt');
+GPS_metadata = importdata(findExampleDataFile('KittiGps_metadata.txt'));
 GPS_metadata = cell2struct(num2cell(GPS_metadata.data), GPS_metadata.colheaders, 2);
 GPSinBody = Pose3.Expmap([GPS_metadata.BodyPtx; GPS_metadata.BodyPty; GPS_metadata.BodyPtz;
   GPS_metadata.BodyPrx; GPS_metadata.BodyPry; GPS_metadata.BodyPrz; ]);
@@ -32,7 +32,7 @@ GPSinIMU = IMUinBody.inverse().compose(GPSinBody);
 %% Read data and change coordinate frame of GPS and VO measurements to IMU frame
 disp('-- Reading sensor data from file')
 % IMU data
-IMU_data = importdata('KittiEquivBiasedImu.txt');
+IMU_data = importdata(findExampleDataFile('KittiEquivBiasedImu.txt'));
 IMU_data = cell2struct(num2cell(IMU_data.data), IMU_data.colheaders, 2);
 imum = cellfun(@(x) x', num2cell([ [IMU_data.accelX]' [IMU_data.accelY]' [IMU_data.accelZ]' [IMU_data.omegaX]' [IMU_data.omegaY]' [IMU_data.omegaZ]' ], 2), 'UniformOutput', false);
 [IMU_data.acc_omega] = deal(imum{:});
@@ -40,7 +40,7 @@ imum = cellfun(@(x) x', num2cell([ [IMU_data.accelX]' [IMU_data.accelY]' [IMU_da
 clear imum
 
 % VO data
-VO_data = importdata('KittiRelativePose.txt');
+VO_data = importdata(findExampleDataFile('KittiRelativePose.txt'));
 VO_data = cell2struct(num2cell(VO_data.data), VO_data.colheaders, 2);
 % Merge relative pose fields and convert to Pose3
 logposes = [ [VO_data.dtx]' [VO_data.dty]' [VO_data.dtz]' [VO_data.drx]' [VO_data.dry]' [VO_data.drz]' ];