Adaptive neuro fuzzy inference system based obstacle avoidance system for autonomous vehicle

Abstract

Adaptive Neuro Fuzzy Inference System (ANFIS) is a well proven technology for predicting the output based on the set of inputs. ANFIS is predominantly used to track the set of inputs and output in order to achieve the target. In this paper, authors have proposed a Nonlinear ANFIS algorithm to track the distance between the autonomous vehicle and the obstacle while vehicle is moving and the brake force required. By tuning neuro fuzzy algorithm, accurate brake force requirement has been achieved and the results are captured in this paper. Back propagation algorithm based neural network & Sugeno model based Fuzzy inference system have been used in the proposed technique. Matlab/Simulink software platform is used to implement the proposed algorithm and proven the expected results.