Affiliation:
1. Faculty of Economics and Informatics, J. Selye University, Komárno, Slovakia
Abstract
News concerning autonomous cars are becoming more and more common today. There are recordings of vehicles in self-driving mode having an accident as well as footages in which they operate properly, in an errorless way. What can cause this fundamental difference? Either a software problem or the inaccuracy of the data emitted by the sensors or an incorrect decision issued by the central unit. This article is going to show the various ways in which the decisions of the central unit can be influenced and so the passengers and the environment of the vehicle can be endangered. The aim is not to affect the trade of the autonomous cars in a negative way but, on the contrary, to attract the attention of the manufacturers to make them get prepared for and protect their cars against these dangers. At the end of the article there are going to be some suggestions made on how to install a module that can recognize external manipulations in self-driving cars to make their operation more secure.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference25 articles.
1. Vehicle Dynamic-based Approach for the Optimization of Traffic Parameters of the Intelligent Driver Model (IDM) and for the Support of Autonomous Vehicles’ Driving Ability;Péter;Acta Polytechnica Hungarica,2019
2. LPV design for the control of heterogeneous traffic flow with autonomous vehicles;Nemeth;Acta Polytechnica Hungarica,2019
3. Analysis of traffic flow with mixed manual and semi- automated vehicles;Bose;IEEE Transactions on Intelligent Transportation Systems,2003
4. Guo S. , Zhang X. , Zheng Y. and Du Y. , An Autonomous Path Planning Model for Unmanned Ships Based on Deep Reinforcement Learning, Sensors 20(2) (2020), 426; https://doi.org/10.3390/s20020426
5. Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning;Zhang;Sensors,2019