SANTA CLARA, Calif., May 16, 2018 (GLOBE NEWSWIRE) -- Telenav®, Inc. (NASDAQ:TNAV), a leading provider of connected-car and location-based platform services, announced the world’s first open-source machine-learning technology designed to detect navigation features in street-level imagery. Telenav’s AI-based, map-making technology automatically detects navigation features using street-level imagery, which can reduce the effort required to create and enhance map data by as much as 10x. Telenav has crowdsourced more than 130-million street images via its OpenStreetCam™ mobile application and data collection continues to grow rapidly.
The company’s open-source AI initiative empowers developers to enhance the AI algorithms, and ensures that the next era of map making remains open and accessible to everyone.
- Machine Learning Algorithm – Used to recognize dozens of different types of road elements, including road signs and traffic lights; other items, such as lane and road width, will be added soon.
- Training sets – Consisting of over 50,000 tagged street-view images.
“Until now, all AI-based map-making technologies have been proprietary,” stated Philipp Kandal, Senior Vice President, Engineering for Telenav. “The openness of OSM is what originally made it a success, and now, with open AI technology, we can exponentially improve the map with the contribution of a large, passionate and talented community of developers.”
The company is also launching its “Telenav MapAI Contest” to encourage contributions to the open-source map-making platform. It invites interested participants to view details of the contest at https://competitions.codalab.org/competitions/19024. In addition to a cash prize of $10,000, the contributions to the map-making platform will be available for all mappers to use to improve OSM.
