Sampling-based Non-Holonomic Path Generation for Self-driving Cars

2021 ◽  
Vol 104 (1) ◽  
Author(s):  
Sotirios Spanogiannopoulos ◽  
Yahya Zweiri ◽  
Lakmal Seneviratne
2019 ◽  
Vol 84 ◽  
pp. 173-184 ◽  
Author(s):  
Renan Sarcinelli ◽  
Rânik Guidolini ◽  
Vinicius B. Cardoso ◽  
Thiago M. Paixão ◽  
Rodrigo F. Berriel ◽  
...  

2019 ◽  
Vol 12 (1) ◽  
pp. 47-60
Author(s):  
László Kota

The artificial intelligence undergoes an enormous development since its appearance in the fifties. The computing power has grown exponentially since then, enabling the use of artificial intelligence applications in different areas. Since then, artificial intelligence applications are not only present in the industry, but they have slowly conquered households as well. Their use in logistics is becoming more and more widespread, just think of self-driving cars and trucks. In this paper, the author attempts to summarize and present the artificial intelligence logistical applications, its development and impact on logistics.


Author(s):  
Qingzeng Ma ◽  
Dongbin Zhang ◽  
Shuo Jin ◽  
Yuan Ren ◽  
Wei Cheng ◽  
...  

2018 ◽  
Vol 58 (1) ◽  
pp. 53-60
Author(s):  
Bartosz Czarnecki

Abstract The paper discusses the spatial consequences of the widespread use of self-driving cars and the resulting changes in the structure of urban areas. Analysing present knowledge on the technology, functionality and future forms of organisation of mobility with this type of means of transportation, conclusions are presented concerning the expected changes in the organisation of space in urban areas. The main achievement of the investigation is an outline of the fields of future research on the spatial consequences of a transportation system with a large share of self-driving cars.


2021 ◽  
Author(s):  
Alexander McConville ◽  
Colin Greatwood ◽  
Duncan Hine ◽  
Peiman Moradi ◽  
Thomas S. Richardson

2009 ◽  
Vol 29 (5) ◽  
pp. 1382-1384
Author(s):  
Qin JIANG ◽  
Lin-lan LIU ◽  
Xi SU ◽  
Ke CAI
Keyword(s):  

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