Sensors and Sensing for Intelligent Vehicles
Over the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and sea autonomously. However, there is still a long way to go before a widespread adoption. Among a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/18/5115 |
| _version_ | 1797554306074804224 |
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| author | David Fernández Llorca Iván García Daza Noelia Hernández Parra Ignacio Parra Alonso |
| author_facet | David Fernández Llorca Iván García Daza Noelia Hernández Parra Ignacio Parra Alonso |
| author_sort | David Fernández Llorca |
| collection | DOAJ |
| description | Over the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and sea autonomously. However, there is still a long way to go before a widespread adoption. Among all the scientific and technical problems to be solved by intelligent vehicles, the ability to perceive, interpret, and fully understand the operational environment, as well as to infer future states and potential hazards, represent the most difficult and complex tasks, being probably the main bottlenecks that the scientific community and industry must solve in the coming years to ensure the safe and efficient operation of the vehicles (and, therefore, their future adoption). The great complexity and the almost infinite variety of possible scenarios in which an intelligent vehicle must operate, raise the problem of perception as an "endless" issue that will always be ongoing. As a humble contribution to the advancement of vehicles endowed with intelligence, we organized the Special Issue on Intelligent Vehicles. This work offers a complete analysis of all the mansucripts published, and presents the main conclusions drawn. |
| first_indexed | 2024-03-10T16:30:08Z |
| format | Article |
| id | doaj.art-e471f3da291f4ab98a7078f7e02b3798 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:30:08Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e471f3da291f4ab98a7078f7e02b37982023-11-20T12:58:49ZengMDPI AGSensors1424-82202020-09-012018511510.3390/s20185115Sensors and Sensing for Intelligent VehiclesDavid Fernández Llorca0Iván García Daza1Noelia Hernández Parra2Ignacio Parra Alonso3Computer Engineering Department, University of Alcalá, 28805 Madrid, SpainComputer Engineering Department, University of Alcalá, 28805 Madrid, SpainComputer Engineering Department, University of Alcalá, 28805 Madrid, SpainComputer Engineering Department, University of Alcalá, 28805 Madrid, SpainOver the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and sea autonomously. However, there is still a long way to go before a widespread adoption. Among all the scientific and technical problems to be solved by intelligent vehicles, the ability to perceive, interpret, and fully understand the operational environment, as well as to infer future states and potential hazards, represent the most difficult and complex tasks, being probably the main bottlenecks that the scientific community and industry must solve in the coming years to ensure the safe and efficient operation of the vehicles (and, therefore, their future adoption). The great complexity and the almost infinite variety of possible scenarios in which an intelligent vehicle must operate, raise the problem of perception as an "endless" issue that will always be ongoing. As a humble contribution to the advancement of vehicles endowed with intelligence, we organized the Special Issue on Intelligent Vehicles. This work offers a complete analysis of all the mansucripts published, and presents the main conclusions drawn.https://www.mdpi.com/1424-8220/20/18/5115intelligent vehiclessensorssensingpercepctionscene understandingobject detection and tracking |
| spellingShingle | David Fernández Llorca Iván García Daza Noelia Hernández Parra Ignacio Parra Alonso Sensors and Sensing for Intelligent Vehicles Sensors intelligent vehicles sensors sensing percepction scene understanding object detection and tracking |
| title | Sensors and Sensing for Intelligent Vehicles |
| title_full | Sensors and Sensing for Intelligent Vehicles |
| title_fullStr | Sensors and Sensing for Intelligent Vehicles |
| title_full_unstemmed | Sensors and Sensing for Intelligent Vehicles |
| title_short | Sensors and Sensing for Intelligent Vehicles |
| title_sort | sensors and sensing for intelligent vehicles |
| topic | intelligent vehicles sensors sensing percepction scene understanding object detection and tracking |
| url | https://www.mdpi.com/1424-8220/20/18/5115 |
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