Driving-Record-Based Distributed Path-Planning for Autonomous Vehicle

The influence from individual preference and circumstance has been considered in the distributed path-planning model which is generated by Maximum Likelihood Estimation (MLE) and Bayesian Theory, and the model parameter can be determined with actual driving records of an optimal path-planning model. The new model develops the previous one from a single path into a distribution based on driving records so that the actual optimal path during driving can be adjusted according to the real-time position, which avoids oscillation along the single path and improves practicality and amenity.