An improved FastSLAM2.0 algorithm based on ant colony optimization

Autor: Wen Shiguang, Yao Mingde, Wu Chengdong, Li Jun
Rok vydání: 2017
Předmět:
Zdroj: 2017 29th Chinese Control And Decision Conference (CCDC).
DOI: 10.1109/ccdc.2017.7978470
Popis: Montemerlo et al. proposed an algorithm called FastSLAM2.0 as an efficient and robust solution to the simultaneous localization and mapping problem. We proposed an ant colony optimization based resampling method, which seriously reduces the problem of particle depletion. Simulation experimental results illustrate the advantages of our method over previous approach.
Databáze: OpenAIRE