K. C. Reddy, V. K, Faraz Ahmed Mulla, G. N. H. Kumar, J. Prajwal, M. Gopal
{"title":"A Review on Autopilot using Neuro Evaluation of Augmenting Topologies","authors":"K. C. Reddy, V. K, Faraz Ahmed Mulla, G. N. H. Kumar, J. Prajwal, M. Gopal","doi":"10.1109/IDCIoT56793.2023.10053395","DOIUrl":null,"url":null,"abstract":"Autonomous lateral movement is the significant challenge for self-driving cars; therefore, the major target of this paper is to replicate propulsion in order to improve the performance of self-driving cars. This work focuses on using multilayer neural networks and deep learning techniques to enable operating self-driving cars under stimulus conditions. Within the simulator, the driver`s vision and reactions are mimicked by preprocessing the images obtained from a cameramounted vehicle. Neural network trains the deep learning model based on the images captured by camera in manual mode. The trained multi-layer neural network creates various conditions for driving a car in self-driving mode. The driver imitation algorithms created and characterized in this work are all about profound learning techniques.","PeriodicalId":60583,"journal":{"name":"物联网技术","volume":"17 1","pages":"573-577"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"物联网技术","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/IDCIoT56793.2023.10053395","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Autonomous lateral movement is the significant challenge for self-driving cars; therefore, the major target of this paper is to replicate propulsion in order to improve the performance of self-driving cars. This work focuses on using multilayer neural networks and deep learning techniques to enable operating self-driving cars under stimulus conditions. Within the simulator, the driver`s vision and reactions are mimicked by preprocessing the images obtained from a cameramounted vehicle. Neural network trains the deep learning model based on the images captured by camera in manual mode. The trained multi-layer neural network creates various conditions for driving a car in self-driving mode. The driver imitation algorithms created and characterized in this work are all about profound learning techniques.