Intelligent Vehicles

Dear Colleagues,

When we talk about intelligent vehicles or driverless cars, we can (almost) state that the future is now. Both industry and academy have made tremendous advancements in the last decade in this field, and a considerable number of prototypes are now autonomously driving our roads. Technology and research findings are moving quickly, and the race is on to develop intelligent vehicles that enable everyone to enjoy safe, efficient, and sustainable mobility.

The capability of intelligent vehicles to sense, interpret, and fully understand the current traffic scene, as well as to infer future states and potential hazards, maybe the main challenge in the driverless cars’ arena. Current scene understanding technologies and methodologies depend on multiple sensor systems, such as cameras (visible or infrared spectrum), radar, LiDAR, and so on, and are based on highly complex and sophisticated algorithms, including artificial intelligence. New approaches to model the behavior of other road users (VRUs and drivers) are needed in order to ensure the safety of the control strategies. Robust sensing under different lighting and weather conditions becomes mandatory to advance towards fail-aware, fail-safe, and fail operational systems.

The aim of this Special Issue is to contribute to the state-of-the-art, and to introduce current developments concerning the perception and sensor technologies for intelligent vehicles. We encourage potential authors to submit contributions of original research, new developments, and substantial experimental works concerning intelligent vehicles. Surveys are very welcomed too.

Therefore, prospective authors are invited to submit original contributions or survey papers for review for publication in the Sensors open access journal. Topics of interest include (but are not limited to) the following:

• Sensor technologies for driverless cars
• Vehicle scene understanding
• Vulnerable road users (VRUs) protection
• Vehicle navigation and localization systems
• Advanced driver assistance systems
• Intelligent vehicles related image, radar, and LiDAR signal processing
• Sensor and information fusion
• Human factors and human machine interaction
• Assistive intelligent vehicles
• Driver and road users state and intent recognition
• Cooperative driving
• Sensing under different lighting and weather conditions
• Fail-safe, fail-aware, and fail-operational systems
• HD and accurate mapping systems

Prof. Dr. David Fernández-Llorca
Prof. Dr. Ignacio Parra Alonso
Prof. Dr. Iván García Daza
Prof. Dr. Noelia Hernández Parra
Guest Editors

Manuscript Submission Information

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