An Intelligent Fuzzy based Hybrid Approach for Parallel Parking in Dynamic Environment
Naitik M. Nakrani, Maulin M. Joshi · Procedia Computer Science · 2018
Intelligent vehicle parking problem is considered as a challenging problem due to requirement of human-like expertise. In literature, it is generally considered as a standalone problem where parking feasibilities are inherently assumed and solutions are discussed. This paper proposes a novel hybrid fuzzy-based approach for parallel parking where intelligent system considers multiple parking scenarios in which parking problem is considered as an extension of navigation problem. It incorporates mimicking human-like intelligence in dynamic environmental conditions while, parking in the given slots either slot becomes pre occupied due to arrival of another vehicle or sudden appearance of obstacles during parking is in progress. Simulation results show the effectiveness of proposed solution for different maneuvering scenarios.