Comparison of map matching approaches in vehicle to vehicle communication

This thesis covers two approaches for the map matching of CAM streams sent by vehicles in the vicinity of ego-vehicle. Two approaches are compared. A topological weight based algorithm and the Multiple Hypotheses Technique map matching algorithm. The thesis aims at proving the current position of other vehicles in real-time and at predicting missing positions in case of message loss. Two position prediction approaches are considered in order to deal with the loss of position messages from surrounding vehicles. Experimental results show that the weight based topological algorithm has higher segment selection accuracy under low data loss rates. When loss rates increase, the MHT prediction with the MHT algorithm is more robust regarding the reliability of predictions.