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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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.
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.
Driving-Record-Based Distributed Path-Planning for Autonomous Vehicle
Yu, Chen (Autor:in) / Jia-Qiang, E. (Autor:in) / Hao, Zhu (Autor:in) / Yuan-Wang, Deng (Autor:in)
01.12.2015
375567 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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