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The iASSIST is an iPhone-based assistive sensor solution for independent and safe travel for people who are blind or visually impaired, or those who simply face challenges in navigating an unfamiliar indoor environment. The solution integrates information of Bluetooth beacons, data connectivity, visual models, and user preferences. Hybrid models of interiors are created in a modeling stage with these multimodal data, collected, and mapped to the floor plan as the modeler walks through the building. Client-server architecture allows scaling to large areas by lazy-loading models according to beacon signals and/or adjacent region proximity. During the navigation stage, a user with the navigation app is localized within the floor plan, using visual, connectivity, and user preference data, along an optimal route to their destination. User interfaces for both modeling and navigation use multimedia channels, including visual, audio, and haptic feedback for targeted users. The design of human subject test experiments is also described, in addition to some preliminary experimental results. 

In many complex tasks, a remote expert may need to assist a local user or to guide his or her actions in the local user's environment. Existing solutions also allow multiple users to collaborate remotely using high-end Augmented Reality (AR) and Virtual Reality (VR) head-mounted displays (HMD). In this paper, we propose a portable remote collaboration approach, with the integration of AR and VR devices, both running on mobile platforms, to tackle the challenges of existing approaches. The AR mobile platform processes the live video and measures the 3D geometry of the local environment of a local user. The 3D scene is then transited and rendered in the remote side on a mobile VR device, along with a simple and effective user interface, which allows a remote expert to easily manipulate the 3D scene on the VR platform and to guide the local user to complete tasks in the local environment.