Vehicle Speed Determination Using Haarcascade Algorithm

The model will combine the wheel speed and satellite communication information to calculate the impact of road navigation on the IMU and its horizontal speed compared to average wheel speeds and wheel Speed Department (CRT) information. A longitudinal vehicle speed estimator using triangulation is generated from tests conducted by participants, consisting of three virtual sensors that build synthetic longitudinal speed tracks by combining multiple data points. The speed estimation is being evaluated in a detailed and analytical way under a variety of driving scenarios under the testing hardware-in-the-loop tests. The error is less than 10%.