A method of vehicle trajectory restoration based on Kalman Filter

We propose a method for vehicle trajectory restoration in the field of intelligent transportation. We have a large number of data from Internet of Vehicle (IoV), including all information of vehicle status at every moment. First, we preprocess the data from IoV, perform data reduction and filter out the data that meets the requirements, and then build a Kalman filter trajectory model for noise removal. We conducted numerical experiments on the actual data from IoV and found that it is closer to the actual road, which eliminates the problem of GPS data deviation.