Patent №
US 11,067,992
Granted
2021-07-20
Filed 2020
Owner
HEFEI UNIVERSITY OF TECHNOLOGY
Lab
—
AI components
6
ml · vision · kr · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16822820
The present invention provides a path planning method and system for self-driving of autonomous system, and relates to the technical field of autonomous systems. The method comprises following steps of: acquiring a path optimization function of an agent; converting, based on fixed-point theorems, the path optimization function of the agent into an equivalent fixed-point equation; acquiring a complete simplex sequence based on the fixed-point equation; and, determining, based on the complete simplex sequence, an initial population size and an initial position of particles for particle swarm optimization to obtain the best path planning of the agent. In the present invention, the extremal optimization of the path optimization function of the agent is converted into solving of the fixed-point equations, and initial parameters for particle swarm optimization are determined by the complete simplex sequence.
AI classification
Ownership
HEFEI UNIVERSITY OF TECHNOLOGY
assignment · 564490139
Assignors
REN, MINGLUN, HUANG, XIAODI, WANG, CHENZE, CHENG, BAYI
On an employer assignment, the assignors are typically the inventors.