Moving Slovenia 2.0, a two-day conference organised by Business Academy Finance and Advantage Austria Ljubljana, the official representatives of the Austrian Economic Chamber, took place on 19 and 20 November. As part of the event, which focused on logistics, infrastructure and mobility, AV Living Lab and BTC Company hosted the representatives of Austrian firms.
The joint-stock company AMZS d.d. acquired a stake in AV Living Lab. New strategic partnership will enable more competitive global ecosystem for development of solutions and concepts for autonomous vehicles.
The Minister of Public Administration, Mr Boris Koprivnikar, the government representatives, AV Living Lab and BTC Company visited BMW Center of excellence for autonomous driving in Munich on 11 June 2018.
Agency for Communication Networks and Services of the Republic of Slovenia in the presence of the Minister of Public Administration, Mr Boris Koprivnikar, awarded the AV Living Lab's parent company BTC the use of frequencies for testing 5G network technology and implementation of R&D projects
On 27th April 2018, guests and visitors of BTC City Ljubljana experienced a taste of promising future technologies. At the event, which was organized by the BTC d.d. and the AV Living Lab as part of the TEN-T Days 2018, a major transport event focused on the development of the Trans-European Transport Network, a ride with the autonomous shuttle NAVYA Group was demonstrated to the public for the first time in Slovenia.
Companies BTC, DARS, AMZS, The Automobile Association of Slovenia (AMZS), and AV Living Lab are creating a worldwide unique partner ecosystem. The aim of the partnership is the development of an innovative learning ecosystem as a provider of solutions and technologies for connected autonomous vehicles.
Connected and Autonomous Mobility: vehicles' demonstration is an opportunity for European car manufactures and developers to show Europe's innovation and leadership in autonomous driving technology, such as autonomous shuttles/buses, autonomous cars/robo-taxis, driving simulators etc.
Safe, reliable and perceptive autonomous driving is relying on machine learning as a prerequisite step towards intelligent transportation domain specific AI. However, learning itself requires access to stimuli rich environment on one side and learning goals on the other.