Predicting Vehicle Trajectory
Prediction of the trajectory path of a vehicle into the future is a difficult task,and even more so in non-straight paths, as observed in some of the research studied. Many times, the predicted future position of where the vehicle will be 3 s later in time falls outside of a physical road, making this prediction highly improbable.
For the first part of this research, the assumption is made that the driven vehicle will remain on a road at all times, and any prediction that falls outside of a road will be considered incorrect. Through the use of a road-mapping technique, it will be shown that this error correction greatly reduces the prediction errors in non-straight paths.
Another problem observed when predicting a future position of a vehicle is that, when using multiple sensors, most of the time they are asynchronous. Some reviewed research describes a solution of running the system at the rate of its slowest sensor, and, therefore, solving the problem of asynchronous data.
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