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A platform for research: civil engineering, architecture and urbanism
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 (author) / Jia-Qiang, E. (author) / Hao, Zhu (author) / Yuan-Wang, Deng (author)
2015-12-01
375567 byte
Conference paper
Electronic Resource
English
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