In a major stride toward revolutionizing indoor navigation, a City College of New York-led team has developed groundbreaking technology that could chart real-time paths, delivering users — both sighted and low vision — a seamless and accurate indoor navigation experience complete with turn-by-turn guidance. The invention has earned a U.S. patent titled System and Method for Real-time Indoor Navigation.
The innovation is the brainchild of the City College-based CUNY Computational Vision and Convergence Laboratory (CCVCL) headed by Zhigang Zhu, Herbert G. Kayser Professor of Computer Science in CCNY’s Grove School of Engineering – and its partners. All CCNY alumni, the partners include:
An entity born out of CCVCL, neARabl was officially established in October 2021. It holds exclusive licensing rights for the cutting-edge technology and partners with Bentley Systems Inc. (NASDAQ: BSY).
This advanced indoor navigation system features a meticulous modeling subsystem that intricately processes multimodal locational data, autonomously creating models for overlapping local regions. Subsequently, the navigation system harnesses these models to dynamically chart real-time paths to the benefit of users.
Work on the technology can be traced back to the CUNY-Rutgers-Lighthouse Guild-Bentley Systems joint project – Smart and Accessible Transportation Hub. Envisioned as a transformative initiative, it sought to transform a large transportation hub into a smart and accessible hub. The outcome was an augmented reality (AR)-based mobile system tailored for assistive indoor navigation, offering turn-by-turn guidance over expansive indoor spaces without the need for costly infrastructure.
New York Governor Kathy Hochul lauded the technology at the New York State Innovation Summit. This after the CCNY team leveraged the State’s innovation ecosystem, particularly NYSTAR and FuzeHub, to complete 70 pilots throughout the state, engaging over 6,000 users. They continue to refine the technology, committed to producing additional intellectual property, including 3D reconstruction and 2D blueprint to 3D conversion.
Funding was provided by the National Science Foundation, the US Air Force Office of Scientific Research, and the Office of the Director of National Intelligence.
