Special Issue "Positioning and Tracking Sensors and Technologies in Road Transport"
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: closed (15 September 2014).
Interests: intelligent transport systems; advanced driver assistance systems; vehicle positioning; inertial sensors; digital maps; vehicle dynamics; driver monitoring; perception, autonomous vehicles; cooperative services; connected and autonomous driving
Special Issues and Collections in MDPI journals
Special Issue in Sensors: Sensors in New Road Vehicles
Special Issue in Sensors: Sensors for Autonomous Road Vehicles
Special Issue in Energies: Methods to Improve Energy Use in Road Vehicles
Special Issue in Applied Sciences: Road Vehicles Surroundings Supervision: On-Board Sensors and Communications
Special Issue in Sensors: Perception Sensors for Road Applications
Special Issue in Applied Sciences: Technologies and Applications of Communications in Road Transport
Special Issue in Sensors: Sensors for Road Vehicles of the Future
Special Issue in Vehicles: The New Devices to Assist the Driver (ADAS)
Interests: intelligent transportation systems; intelligent vehicles; electromobility; vehicular communications; autonomous vehicles
Special Issues and Collections in MDPI journals
Vehicle positioning is becoming more and more relevant in many applications in road transport. The accuracy requirements are not the same for all of them and, in general, safety applications are more restrictive. Global Navigation Satellite Systems (GNSS) positioning does not guarantee a specific and constant level of accuracy. A widespread solution for dealing with GNSS positioning limitations is to combine GNSS positioning with inertial sensors or computer vision technologies. The algorithms developed for data fusion should be based on determining the confidence level of each measure. On the other hand, apart from specifically oriented instrumentation, accuracy of smartphones that offer geopositioning should be assessed.
Another problem is the interrelationship between the positioning system and location in the digital map. This problem is not trivial when dealing with imprecise information. In such cases, providing a specific location of a vehicle on a roadway presents difficulties in complex scenarios, and involves implementing complex and reliable algorithms. Map-matching algorithms try to overcome the inaccuracies of digital maps and positioning systems
Finally, over the years and the evolution of in-vehicle technologies and communications with the vehicle surroundings, there has been an important group of applications that may rely more or less on vehicle positioning and tracking.
Contributions related to vehicle tracking and positioning, using satellite systems, inertial sensors or other means will be considered. Also, submissions focused on the uncertainty of these kinds of positioning systems and the solutions that overcome such inaccuracy will also be considered. Contributions focused on specific applications in road transport should clearly indicate which challenges in positioning the work is addressing. Authors are invited to contact the guest editors, prior to submission, if they are uncertain whether their work falls within the general scope of this Special Issue.
Dr. Felipe Jimenez
Dr. Jose Eugenio Naranjo
Manuscript Submission Information
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- vehicle tracking
- satellite positioning
- inertial sensors
- sensor fusion
- digital maps
- map-matching algorithm
- visual odometry
- smartphones geolocation