diff --git a/doc/img/LRS_CS_axis_base.png b/doc/img/LRS_CS_axis_base.png
new file mode 100644
index 0000000000..7df373bd3a
Binary files /dev/null and b/doc/img/LRS_CS_axis_base.png differ
diff --git a/doc/img/T265_orientation_axis.png b/doc/img/T265_orientation_axis.png
new file mode 100644
index 0000000000..2fa129f3c3
Binary files /dev/null and b/doc/img/T265_orientation_axis.png differ
diff --git a/doc/img/t265_pose_orientation.png b/doc/img/t265_pose_orientation.png
new file mode 100644
index 0000000000..c3c8b00b2d
Binary files /dev/null and b/doc/img/t265_pose_orientation.png differ
diff --git a/doc/img/t265_snapshot.png b/doc/img/t265_snapshot.png
new file mode 100644
index 0000000000..e70844a583
Binary files /dev/null and b/doc/img/t265_snapshot.png differ
diff --git a/doc/img/t265_trajectory_tracker.gif b/doc/img/t265_trajectory_tracker.gif
new file mode 100644
index 0000000000..f7bfa209b8
Binary files /dev/null and b/doc/img/t265_trajectory_tracker.gif differ
diff --git a/doc/imu_and_tracking_sensors.md b/doc/imu_and_tracking_sensors.md
new file mode 100644
index 0000000000..30ff5425d5
--- /dev/null
+++ b/doc/imu_and_tracking_sensors.md
@@ -0,0 +1,121 @@
+# Inertial Measurement Unit (IMU) and Tracking sensors
+
+With the introduction of Intel D435i and T265 RealSense devices, `librealsense` SDK was
+enhanced to support and effectively utilize the functionality provided by the new domain sensors.
+
+## Core Capabillities
+The Realsense D435i and T265 models sport a [Bosch BMI055](https://www.bosch-sensortec.com/bst/products/all_products/bmi055) 6-axis inertial sensor.
+The sensor is comprised of triaxial 12bit linear acceleration and triaxial 16bit angular velocity gyro sensors.
+
+The D435i depth camera generates and transmits the gyro and accel samples independently as the inertial sensors exhibit different FPS rates (200/400Hz for gyro, 63/250Hz for accel).
+Each IMU data packet is timestamped using the depth sensor hardware clock to allow temporal synchronization between gyro, accel and depth frames.
+
+The T265 Realsense inside-out tracking camera utilizes the same IMU sensor as the D435i.
+However, unlike the D435i, which delivers the raw IMU data directly to the host PC, the T265 redirects IMU readings into a Movidius Myriad 2 Vision Processing Unit (VPU). The intertial sensor data is also complemented by video from two fisheye monochrome sensors that are fed into the VPU as well.
+The VPU employed with T265 is capable of fusing inertial and video sensors to produce a reliable and persistent 6DOF pose, offloading the CPU-intensive calculations from the host PC.
+
+The following table summarizes the features and capabilities of the two devices:
+
+
+## T265 vs D435i
+
+Feature | D435i | T265 | Notes |
+:-------: | :------------: | :-------: | :-------: |
+IMU Sensor | Bosch BMI055 | Bosch BMI055 |
+IMU Bias&Scale Correction | Not provided * | Yes | * Feasible with SDK suite
+ 3DOF acceleration | 62.5/250 Hz | 62.5Hz | meter/sec2
+3DOF gyro | 200/400 Hz | 200Hz | radian/sec
+6DOF Pose | N/A | HW-generated at 262 Hz
| Each sample contains:
- Position vector [xyz]
- Orientation quaternion [xyzw]
- Linear velocity and acceleration vectors
- Angular velocity and acceleration vectors
- Tracking confidence [hi/med/low]
- Mapping confidence [hi/med/low]
+Additional sensors | Depth/Left+Right IR/RGB identical to D435 | Two Fisheye sensors at 848X800 resolution/ 30FPS |
+Relocalization | N/A | Yes |
+Sensors orientation | Aligned to depth | VR-Standard | See Tracking Sensor Origin and CS
+
+## Tracking Sensor Origin and Coordinate System (CS)
+### D435i
+The IMU sensor location and orientation, relative to the depth sensor's are conveniently embedded into the sensor's extrinsic data. In order to align and them with SDK-wide established [orientation convention](https://github.com/IntelRealSense/librealsense/wiki/Projection-in-RealSense-SDK-2.0#point-coordinates) using the depth sensor as CS origin, each IMU sample is multiplied internally by the extrinsic matrix.
+
+ The resulted orientation angles and acceleration vectors share the coordinate system with the depth sensor.
+![D400 Depth Sensor Orientation angles](./img/LRS_CS_axis_base.png)
+1. The positive x-axis points to the right.
+2. The positive y-axis points down.
+3. The positive z-axis points forward
+
+The angles are also compatible with [OpenCV convention for pinhole camera model](https://docs.opencv.org/3.4.0/d9/d0c/group__calib3d.html)
+
+
+### T265
+To aid AR/VR integration, the TM265 tracking device uses the defacto VR framework standard coordinate system instead of the SDK standard:
+
+![T265 Pose orientation](./img/T265_orientation_axis.png)
+1. Positive X direction is towards right imager
+2. Positive Y direction is upwards toward the top of the device
+3. Positive Z direction is inwards toward the back of the device
+
+The center of tracking corresponds to the center location between the right and left monochrome imagers on the PCB
+
+##
+## Device calibration
+The IMU sensor does not include internal calibration, which may manifest itself with non-zero angular velocities produced at idle mode and the gravity (accel) force measured being not equal to 9.80665.
+In order to rectify those inaccuracies, the T265's IMU sensor is calibrated in the production line.
+
+For D435i the IMU sensor is not calibrated, hence a [complementary routine and tool](https://github.com/IntelRealSense/librealsense/tree/development/tools/rs-imu-calibration#rs-imu-calibration-tool) were developed and published as part of the SDK.
+Running the calibration routine will calculate IMU intrinsic covariance and zero offsets, and then store them on device's NVRAM for later use in SDK.
+The depth<->IMU sensor extrinsic (rigid body transformation) is precalculated based on mechanical drawings and cannot be modified.
+When initialized, the SDK will query the device for the existance of the IMU calibration data, and if present - apply it to the raw IMU samples produced by the device.
+
+## Integration with the SDK
+The following `librealsense` tools and demos are IMU and tracking-ready:
+ - `rs-capture` - 2D Visualization.
+ - `rs-enumerate-devices` - list the IMU and tracking profiles (FPS rates and formats).
+ - `rs-data-collect` - Store and serialize IMU and Tracking (pose) data in Excel-friendly csv format. The tool uses low-level sensor API to minimize software-imposed latencies. Useful for performance profiling.
+ - `realsense-viewer` - Provides 2D visualization of IMU and Tracking data. 3D visualization is available for Pose samples:
+
+ ![T265 2D Sensors](./img/t265_snapshot.png)
+ ![T265 3D Pose Tracking](./img/t265_trajectory_tracker.gif)
+
+The IMU and Tracking data streams are fully compatible with SDK's embedded recorder utility.
+
+## API
+The IMU and tracking sensors are treated by the SDK like any other supported sensor. Therefore the sensor access and invocation API calls are similar to those of the depth/rgb sensors of D400 and SR300:
+
+```cpp
+rs2::pipeline pipe;
+
+rs2::config cfg;
+cfg.enable_stream(RS2_STREAM_GYRO);
+cfg.enable_stream(RS2_STREAM_ACCEL);
+cfg.enable_stream(RS2_STREAM_POSE);
+
+pipe.start(cfg);
+
+while (app) // Application still alive?
+{
+ rs2::frameset frameset = pipe.wait_for_frames();
+
+ // Find and retrieve IMU and/or tracking data
+ if (rs2::motion_frame accel_frame = frameset.first_or_default(RS2_STREAM_ACCEL))
+ {
+ rs2_vector accel_sample = accel_frame.get_motion_data();
+ //std::cout << "Accel:" << accel_sample.x << ", " << accel_sample.y << ", " << accel_sample.z << std::endl;
+ //...
+ }
+
+ if (rs2::motion_frame gyro_frame = frameset.first_or_default(RS2_STREAM_GYRO))
+ {
+ rs2_vector gyro_sample = gyro_frame.get_motion_data();
+ //std::cout << "Gyro:" << gyro_sample.x << ", " << gyro_sample.y << ", " << gyro_sample.z << std::endl;
+ //...
+ }
+
+ if (rs2::pose_frame pose_frame = frameset.first_or_default(RS2_STREAM_POSE))
+ {
+ rs2_pose pose_sample = pose_frame.get_pose_data();
+ //std::cout << "Pose:" << pose_sample.translation.x << ", " << pose_sample.translation.y << ", " << pose_sample.translation.z << std::endl;
+ //...
+ }
+}
+```
+
+## Supported platforms:
+The IMU and tracking sensors are currently supported on Windows and Linux OS*. MacOS and Android support is planned but there is still no firm timeline.
+* Linux OS requires the kernel patches to applied either [manually](https://github.com/IntelRealSense/librealsense/blob/master/doc/installation.md#linux-ubuntu-installation) or via the [`librealsense2-dkms` package](https://github.com/IntelRealSense/librealsense/blob/master/doc/distribution_linux.md#installing-the-packages)
diff --git a/doc/readme.md b/doc/readme.md
index 266e6e20a5..dbd9bcdb74 100644
--- a/doc/readme.md
+++ b/doc/readme.md
@@ -32,4 +32,5 @@
* [D400 Advanced Mode](rs400/rs400_advanced_mode.md) - Overview of the Advanced Mode APIs
* [D400 cameras with Raspberry Pi](./RaspberryPi3.md) - Example of low-end system without USB3 interface
* [D400 cameras on **rooted** Android device](./android/Android.md) - Instructions of how to build the RealSense SDK for Android OS.
+ * [IMU and Tracking-enabled devices](./imu_and_tracking_sensors.md) - Introductionary material for D435i and T265 IMU and position tracking sensors.
* [Record and Playback](../src/media/readme.md) - SDK Record and Playback functionality using ROS-bag file format