Academic Journal of Computing & Information Science, 2022, 5(14); doi: 10.25236/AJCIS.2022.051420.
Kai Yuan, Guangming Li, Xiaojuan Liang
School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi’an, Shaanxi, 710021, China
In order to realize the requirements of low latency and low power consumption in real-time path planning for private vehicles, this paper designs an FPGA accelerator based on real-time road information and Dijkstra's shortest path algorithm, which is applied to the path planning system of vehicle edge computing. The system is designed using Xilinx High-Level Synthesis (HLS) compiler and is implemented in the programming logic of a Xilinx Zynq FPGA. The experiment is carried out on a city map, and the results show that the system has lower circuit area and power consumption, and its computing performance is 3.8 times that of ARM, which is suitable for edge computing platform.
intelligent transportation, edge computing, FPGA, path planning
Kai Yuan, Guangming Li, Xiaojuan Liang. FPGA-based vehicle real-time path planning system. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 14: 147-152. https://doi.org/10.25236/AJCIS.2022.051420.
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