Intelligent Transportation Systems Ⅱ
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 2768
Special Issue Editors
Interests: data fusion for intelligent transportation system; computer vision and LiDAR applications
Special Issues, Collections and Topics in MDPI journals
Interests: real-time perception systems; computer vision; sensor fusion; autonomous ground vehicles; unmanned aerial vehicles; navigation
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent vehicles; perception systems; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous vehicles; computer vision; drones
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in information and communication technologies are facilitating substantial improvements in transportation, providing technologies and developments that ensure safer and more efficient mobility. Novel technologies such as the Internet of Things, artificial intelligence, advanced automation, etc. are providing solutions which when applied to the transport industry are creating ground-breaking applications that are challenging the way transport is perceived in the society of 21st century.
Disciplines such as autonomous and connected vehicles, advanced driver assistance systems, computer vision and 3D detection, traffic control, and human factors in intelligent vehicles are examples of how intelligent transportation systems are fostering the development of novel solutions for the transport of the new connected and smart societies.
This Special Issue aims to provide advances on these topics, providing insight into the technologies that are transforming people’s lives. The topics covered include, but are not limited to:
- LiDAR and 3D sensors technologies;
- Navigation and localization;
- Trajectory planning and control;
- Air, road, rail, and waterway transportation networks and systems;
- Big Data and naturalistic datasets;
- Emergency management;
- Field trials, tests, and deployment;
- Fleet management;
- Human factors;
- Advanced driver assistance systems (ADASs);
- Autonomous and connected vehicles;
- Interconnected vehicles and transportation systems;
- Interoperable multi-modal transportation networks and systems;
- Logistics;
- Modelling, control, and simulation algorithms and techniques;
- Multimodal transportation networks and systems;
- Sensors, detectors, and actuators;
- Smart mobility;
- Traffic control and management;
- Data fusion;
- Environment perception;
- Computer vision.
Prof. Dr. Fernando Garcia Fernadez
Prof. Dr. David Martín Gómez
Prof. Dr. Jose Maria Armingol
Dr. Abdulla Al-Kaff
Guest Editors
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Keywords
- autonomous vehicles
- perception
- advanced control
- deep learning
- data fusion
- intelligent transportation systems
- transport
- computer vision
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