Artificial Intelligence Challenges - Autonomous cars: A brief review Artificial Intelligence Challenges - Autonomous cars: A brief review

Main Article Content

Bryan Orlando Narváez Tapie
Michael Alejandro Irua Riofrio
Zhara Jholy Monteros Bernal
Ana Cristina Umaquinga Criollo
Galo Patricio Hurtado Crespo
Jaime Michilena

Abstract

This documentary-descriptive research aims to explore the advancement of artificial intelligence (AI) in selfdriving vehicles and its impact on the benefit  of society. While it is undeniable that  self-driving vehicles have practically become a technological reality in the  field of computing, both at present and in the foreseeable future.  However, several apparent  problematic aspects need to be  addressed in terms of legislation, as  autonomous cars are set to become an integral part of everyday life. Therefore, this research examines  through a literature review the  significant advances and efforts  devoted to software design in this area of study focused on the operation of autonomous vehicles in urban  environments and their ability to  circumvent city obstacles as well as  challenges to unforeseen eventualities.

Downloads

Download data is not yet available.

Article Details

How to Cite
Narváez Tapie, B. O. ., Irua Riofrio, M. A. ., Monteros Bernal, Z. J. ., Umaquinga Criollo, A. C., Hurtado Crespo, G. P. ., & Michilena, J. . (2023). Artificial Intelligence Challenges - Autonomous cars: A brief review: Artificial Intelligence Challenges - Autonomous cars: A brief review. INNOVATION & DEVELOPMENT IN ENGINEERING AND APPLIED SCIENCES, 5(2), 12. https://doi.org/10.53358/ideas.v5i2.912
Section
Information and Electronic Engineering

References

Rajabli N, Flammini F, Nardone R, Vittorini V (2020) Software Verification and Validation of Safe Autonomous Cars: A Systematic Literature Review. IEEE Access. doi: 10.1109/ACCESS.2020.3048047

Ziemianin K (2021) Civil legal personality of artificial intelligence. Future or utopia? Internet Policy Rev 10:1–22. doi: 10.14763/2021.2.1544

Blankenbach K, Vogelmann M, Schmitz N (2021) Advanced optical methods for safe image reproduction on automotive displays. J Soc Inf Disp. doi: 10.1002/JSID.1079

Ostheimer J, Chowdhury S, Iqbal S (2021) An alliance of humans and machines for machine learning: Hybrid intelligent systems and their design principles. Technol Soc 66. doi: 10.1016/J.TECHSOC.2021.101647

Balistreri M (2019) Macchine senza guidatore: Considerazioni morali. Mondo Digit 18

Vicari RM (2021) Influências das Tecnologias da Inteligência Artificial no ensino. Estud Avancados 35:73–84. doi: 10.1590/S0103-4014.2021.35101.006

Cugurullo F, Acheampong RA, Gueriau M, Dusparic I (2021) The transition to autonomous cars, the redesign of cities and the future of urban sustainability. Urban Geogr 42:833–859. doi: 10.1080/02723638.2020.1746096

Utesch F, Brandies A, Pekezou Fouopi P, Schießl C (2020) Towards behaviour based testing to understand the black box of autonomous cars. Eur Transp Res Rev 12. doi: 10.1186/S12544-020-00438-2

Revell KMA, Richardson J, Langdon P, Bradley M, Politis I, Thompson S, Skrypchuck L, O’Donoghue J, Mouzakitis A, Stanton NA (2020) Breaking the cycle of frustration: Applying Neisser’s Perceptual Cycle Model to drivers of semi-autonomous vehicles. Appl Ergon 85. doi: 10.1016/J.APERGO.2019.103037

Cascetta E, Cartenì A, Di Francesco L (2022) Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars. Transp Res Part C Emerg Technol 134:103499. doi: 10.1016/J.TRC.2021.103499

Khan DA, Naaz S, Siddiqui F (2019) Design and realization of autonomous cars using deep Q learning. J Adv Res Dyn Control Syst 11:1808–1813. doi: 10.5013/ijssst.a.20.01.26

Ouarnoughi H, Grislin-Le Strugeon E, Niar S (2021) Simulating multi-agent- based computation offloading for autonomous cars. Cluster Comput. doi: 10.1007/s10586-021-03440-y

Ziemianin K (2021) Civil legal personality of artificial intelligence. Future or utopia? Internet Policy Rev 10:1–22. doi: 10.14763/2021.2.1544

Yun JHJ, Won DK, Jeong ES, Park KB, Yang JH, Park JY (2016) The relationship between technology, business model, and market in autonomous car and intelligent robot industries. Technol Forecast Soc Change 103:142– 155. doi: 10.1016/j.techfore.2015.11.016

Chelliah BJ, Chauhan V, Mishra S, Sharma V (2019) Advancement of driverless cars and heavy vehicles using artificial intelligence (Object detection). Int J Eng Adv Technol 9:6183–6186. doi: 10.35940/ijeat.A1676.109119

Gervasi R, Mastrogiacomo L, Franceschini F (2020) A conceptual framework to evaluate human-robot collaboration. Int J Adv Manuf Technol 108:841–865. doi: 10.1007/S00170-020-05363-1/FIGURES/11

Thieme CA, Mosleh A, Utne IB, Hegde J (2020) Incorporating software failure in risk analysis––Part 2: Risk modeling process and case study. Reliab Eng Syst Saf 198. doi: 10.1016/J.RESS.2020.106804

Farkh R, Quasim MT, Jaloud K Al, Alhuwaimel S, Siddiqui ST (2021) Computer Vision-Control-Based CNN-PID for Mobile Robot. Comput Mater Contin 68:1065–1079. doi: 10.32604/CMC.2021.016600

Varlamov O (2021) “Brains” for Robots: Application of the Mivar Expert Systems for Implementation of Autonomous Intelligent Robots. Big Data Res 25. doi: 10.1016/J.BDR.2021.100241

Schonhut-Stasik J, Huber D, Baranec C, Law NM, Morton T, - al, Riddle RL, Tokovinin A, Varlamov OO, Aladin D V, Adamova LE, Chuvikov DA, Saraev D V (2020) Creation of autonomous groups of combine harvesters and tractors for agriculture based on the Mivar decision-making systems “ROBO!RAZUM.” IOP Conf Ser Mater Sci Eng 819:012002. doi: 10.1088/1757-899X/819/1/012002

The Future Of The Transport Industry - IoT, Big Data, AI And Autonomous Vehicles

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.