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– Artificial Intelligence Navigation –
Maritime transport currently faces significant challenges, including increases in transport volumes and more stringent environmental requirements. Shortage of skilled workers at sea is also a possible threat for the future. Artificial Intelligence / Machine Learning Sensor Fusion for Autonomous Vessel Navigation (Maritime AI-NAV) will see how these challenges are to be answered by technology.
In Maritime AI-NAV data will be gathered at the Tallink Grupp’s newest vessel Megastar on the Helsinki-Tallinn route on the Baltic Sea. The technology will combine data from visual images, environmental sound recordings, RADAR and LiDAR ranging, satellite navigation, and vessel transponders. These sensors will be installed on the Megastar and the data processing will be performed using innovative artificial intelligence and machine learning software.
Artificial intelligence in GPS navigation systems. GPS navigation systems use stored map information for determining optimal route selection based on a shortest path algorithm. … All of the required information is derived from recording GPS location, date and time.
Toyota Motor Corp. and messaging app provider Line Corp. said Monday they will offer an artificial intelligence platform featuring voice commands for navigation services in Toyota cars in Japan by next summer.
The services will use Line’s Clova (Cloud Virtual Assistant) Auto system, a cloud-based AI platform, which can understand voice commands and respond. The system will be connected to Toyota’s in-vehicle device, they said.
Toyota drivers can use such voice commands as “Tell me how to get to Tokyo Tower,” or “Tell me traffic conditions on the Tomei Expressway,” the companies said.
Through voice commands inside cars, users can also turn off their lights at home, check the weather at their destination, send and receive messages, and make free calls via the Line app.