Geodesic
Automotive Digital Perception
Review of the National Center for Digitization, Tome 39 (2021), p. 90 .

Voir la notice de l'article provenant de la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

In this paper the automotive digital perception of self-driving robotic cars is considered. Selfdriving robotics vehicles are cars or trucks in which human drivers are never required to take control of the vehicle safely operating. The challenges for this technology are planning and navigation of the vehicle in dynamic environments, ensuring the safety of its passengers and pedestrians, offering high rode efficiency. The development of sensors, algorithms and actuators have made it possible to generate advances in self-driving robotic cars. Impressive progress has been achieved in the last decade, yet recent works on self-driving cars still present limitations in the complexity of the environment and/or the speed of movement.
Keywords: Automotive digital perception, self-driving robotic cars, dynamic environments, sensors, algorithms, actuators. 
@article{NCD_2021_39_a9,
     author = {Gyula Mester and C\'esar Bautista},
     title = {Automotive {Digital} {Perception}},
     journal = {Review of the National Center for Digitization},
     pages = {90 },
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     volume = {39},
     year = {2021},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/NCD_2021_39_a9/}
}
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Gyula Mester; César Bautista. Automotive Digital Perception. Review of the National Center for Digitization, Tome 39 (2021), p. 90 . http://geodesic.mathdoc.fr/item/NCD_2021_39_a9/