Citas y referencias en IEEE

En la última década se han propuesto varios prototipos de vehículos autónomos funcionales teniendo en cuenta la proyección de las demandas de las diferentes industrias donde tales vehículos serán usados regularmente [1]–[4].

Sin embargo, a pesar de los avances técnicos alcanzados, principalmente debido al desarrollo del aprendizaje profundo (deep learning) aplicado a la conducción autónoma, permanecen abiertas algunas cuestiones éticas vinculadas al uso de esta tecnología [3], [5], [6].

[1]      Z. Liu et al., "Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 6640–6653, Jul. 2022, doi: 10.1109/TITS.2021.3059674.

[2]      S. Senthamilarasu and R. Sumit, Applied Deep Learning and Computer Vision for Self-Driving Cars. Packt Publishing, 2020.

[3]      B. Asmika, G. Mounika, and P. S. Rani, "Deep Learning for Vision and Decision Making in Self Driving Cars-Challenges with Ethical Decision Making," en 2021 International Conference on Intelligent Technologies (CONIT), IEEE, Jun. 2021, pp. 1–5. doi: 10.1109/CONIT51480.2021.9498342.

[4]      H. Cha and K. Lee, "Facilitating the Development of Self-Driving Cars with Open-source Projects," en 2021 International Conference on Information and Communication Technology Convergence (ICTC), IEEE, Oct. 2021, pp. 707–709. doi: 10.1109/ICTC52510.2021.9621005.

[5]      S. W. Tolbert, "Analysis of driving behaviors and relevant driving preferences regarding self-driving cars," Florida Atlantic University, 2022.

[6]      S. Xu, H. Peng, Z. Song, K. Chen, y Y. Tang, "Design and Test of Speed Tracking Control for the Self-Driving Lincoln MKZ Platform," IEEE Transactions on Intelligent Vehicles, vol. 5, no. 2, pp. 324–334, Jun. 2020, doi: 10.1109/TIV.2019.2955908.