CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
The MUSIT project aims to improve the tracking of moving objects by fusing data from various sensors to create accurate trajectories. This approach addresses data gaps and enhances understanding of behavior in applications like urban mobility and vessel monitoring.
The abundance of tracking sensors in recent years has led to the generation of high-frequency and high-volume streams of data, including vessels, vehicles' tracking data, smartwatches, cameras, and earth observation sensors.
However, there are cases where the trajectory of a moving object has gaps, errors, or is unavailable.
However, a vast pool of tracking data is available but remains unexplored or underutilized and has the potential to reveal important information.
The MUlti-Sensor Inferred T…
RESEARCH UNIVERSITY INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Greece, Mytilini
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Netherlands, Eindhoven
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
France, Brest
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.