Our team has just open sourced the MarineTraffic AIS density maps toolbox, a set of modules which support processing AIS data, while improving their transformation[…]
News
VesselAI project kicks off
A new project aims to leverage the enormous footprint of data generated by shipping to help unlock new possibilities for the maritime industry. The EU-funded[…]
Sea trials are currently under way
Autonomous ships (also known as Maritime Autonomous Surface Ships) are seaborne vessels that can sail in navigable waters with little or no human control. There[…]
Measuring the Coronavirus’ impact on trade
The story so far On 31 December 2019, the World Health Organisation (WHO) was informed of several cases of pneumonia in Wuhan City, Hubei Province,[…]
Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection
MarineTraffic presented a paper at FUSION 2019 with title “ Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection” on July 3rd, 2019,[…]
MarineTraffic awarded at the NCI Agency annual industry conference NITEC19
During the NITEC’19 event in Oslo, MarineTraffic presented ways of using Artificial Intelligence and machine learning to help make shipping safer. The fourth annual Defence[…]
Roboat project
This project visualizes the boat traffic in Amsterdam’s canals using data from MarineTraffic. This visualization is part of the ongoing project Roboat, a collaboration between[…]
INFORE project kick off meeting
On the 16th of January, the EU-funded INFORE project kicked off during a 3-day set of meetings between involved partners ATHENA – Research and[…]
Sail ho! A deep learning approach for ship detection which utilises complimentary sensing capabilities
MarineTraffic presented the work it is doing on the topic of machine learning and data fusion with AIS data at the Canadian Tracking and Fusion[…]