Lane-changes prediction based on adaptive fuzzy neural network

Volume: 91, Pages: 452 - 463
Published: Jan 1, 2018
Abstract
Lane changing maneuver is one of the most important driving behaviors. Unreasonable lane changes can cause serious collisions and consequent traffic delays. High precision prediction of lane changing intent is helpful for improving driving safety. In this study, by fusing information from vehicle sensors, a lane changing predictor based on Adaptive Fuzzy Neural Network (AFFN) is proposed to predict steering angles. The prediction model includes...
Paper Details
Title
Lane-changes prediction based on adaptive fuzzy neural network
Published Date
Jan 1, 2018
Volume
91
Pages
452 - 463
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