What is Dead Reckoning?

It is incorrect to recommend using conventional dead reckoning instead. This is because it relies on the most modern inertial navigation system unless it is done electronically. However, rendering DR in the old way is a very simple system that does not rely on electronic equipment or external input. With it you can quickly determine your current position by plotting the route and speed of a previously known location. It can also be used to predict the current route and speed from the current position and to specify the future position.

Dead reckoning may result in cumulative error. Progress on navigation equipment that provides accurate information on position, in particular satellite navigation using GPS, has in most cases made humans obsolete. However, inertial navigation systems that provide very accurate direction information use dead reckoning and are widely used. As with navigational usage, dead reckoning words are also used to indicate the process of estimating the value of any variable by adding the changes that occurred during this period using the previous value. In many cases this usage means that you do not know exactly the change. Previous values ​​and changes can be measured or calculated

Deductive navigation seems reasonable on paper, but unfortunately it is not without flaws. In order to perform complete dead reckoning, it is necessary to know the exact speed of the object at each moment. If there is an error in reading the direction or speed, drift will occur. Over time, the difference between the measured value and the reality is summed up, and the estimated position of the object gets the distance from the actual position. Deductive navigation is very attractive as it only needs to use the mobile phone's accelerometer and compass. Although the accelerometer provides fine-grained measurements of cell phone acceleration on the x, y, and z axes, the compass helps fit the three axes to known maps in the cell phone 's memory. If you can eliminate the noise generated by the vibration of the mobile phone while you are walking, you can minimize the drift and perform rough dead reckoning

In fact, aerial surveying is a difficult task. Even with the Kalman filter implementation, dead-reckoning has many challenges. In order to reduce drift, the application needs to sample the accelerometer at the fastest rate allowed. This need may quickly run out of batteries, making applications hard to sustain as a background process. In addition, the user must specify the starting position, use the compass sensor based on the phone's license, and accurately track the scale of the map. Applications that attempt to dynamically track the user's location using dead reckoning based on Kalman Filer do not look subtle.