Autonomous vehicle control systems — a review of decision making

Author(s):  
S M Veres ◽  
L Molnar ◽  
N K Lincoln ◽  
C P Morice
2011 ◽  
Vol 19 (6) ◽  
pp. 1095-1110 ◽  
Author(s):  
Javier Alonso ◽  
Vicente Milanés ◽  
Joshué Pérez ◽  
Enrique Onieva ◽  
Carlos González ◽  
...  

Author(s):  
A.V. Kolupaev ◽  
A.P. Metelyov ◽  
D.E. Prozorov ◽  
E.E. Kurbatova ◽  
N.L. Kharina

2020 ◽  
pp. short53-1-short53-9
Author(s):  
Andrey Azarchenkov ◽  
Maxim Lyubimov

One of the problems faced by developers of artificial intelligence algorithms when creating car control systems is that the actions of other road users are difficult to predict and have a large variability. Even if we assume that all actions comply with traffic rules and participants do not make mistakes, that is, to bring the actual environment closer to the ideal, the task of automating vehicle control still contains many difficulties. This paper describes what difficulties exist in the field of predicting the trajectory of objects, shows concepts that will help in solving this problem, and also describes a particular method of forecasting, which allows you to make a forecast for cars moving along traffic lanes. The main forecasting stages and the results of testing the method collected by using a ready-made data set are given. The results presented in the form of a set of metrics, are compared with another algorithm for predicting trajectories. As a result, the advantages and disadvantages of the created solution were identified.


2018 ◽  
Vol 26 (5) ◽  
pp. 1782-1797 ◽  
Author(s):  
Nan Li ◽  
Dave W. Oyler ◽  
Mengxuan Zhang ◽  
Yildiray Yildiz ◽  
Ilya Kolmanovsky ◽  
...  

2020 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Mgala Mvurya

Artificial Intelligence (AI) is the human-like intelligence given to systems and demonstrated by machines in doing tasks associated with human intelligence. AI systems can therefore, think like humans, act like humans, think rationally or act rationally. AI systems are not only more powerful and more useful than ordinary computers, but they also solve complex emerging human problems. These systems can be used in areas such as medicine, to conduct guided surgery; transportation, for autonomous vehicle control; face recognition; speech recognition; decision making in agriculture, manufacturing and housing. The present study is a review of the AI technology trend. A search was conducted on literature, technology magazines, and other internet sources. A discussion is presented on how AI systems have been widely applied in the developed world and the extent these systems are being embraced in other countries like China to spar development. Thereafter, this paper discusses the extent to which AI has been applied in the specific areas that relate to the Kenyan Big Four Agenda. The contribution of this paper is a framework that the Kenya Government can adapt in the application AI’s world transforming technologies to achieve its development agenda. We discuss the challenges that hinder full application of the AI technology and present the way forward.


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