Simulation Platform for USV Path Planning based on Unity3D and A∗ Algorithm

Zhiguo Zhou, Xu He, Lisheng Xu, Chong Qu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

Unmanned surface vehicle (USV) path planning is the key technology of USV research. However, the simulation of USV path planning is costly and risky. Plenty of existing simulation environments simplify water surface environments and USV model, increasing the gap between simulations and actual experiments. In this paper, we will introduce our newly developed Unity3D/Microsoft Visual Studio (VS) simulation platform for USV path planning. In Unity3D server, a virtual water surface environment is built for USV navigation. In VS client, A∗ path planning algorithm is implemented. Data transmission between Unity3D and VS is implemented through TCP/IP protocol. Besides, a 2d lidar sensor is modeled in Unity3D to detect local obstacles and used for static local obstacle avoidance. Finally, optimal and collision-free USV path planning can be realized in our simulation platform. The virtual water surface environment, lidar modeling and socket communication can make USV path planning simulations fit well with actual experiments.

Original languageEnglish
Title of host publicationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123455
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China
Duration: 11 Dec 201913 Dec 2019

Publication series

NameICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/TerritoryChina
CityChongqing
Period11/12/1913/12/19

Keywords

  • A
  • Unity3D
  • algorithm
  • obstacle avoidance
  • path planning
  • unmanned surface vehicle

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