PROJECT TITLE :

Embedded Multisensor System for Safe Point-to-Point Navigation of Impaired Users

ABSTRACT:

New smart objects to improve the standard of life in the ambient assisted living (AAL) situation are capturing the interest of researchers and corporations. In particular, novel assistive technologies are being developed to make accessible street navigation to impaired people. The resolution that we tend to propose in this new application domain of intelligent transportation systems could be a framework for a safe purpose-to-point navigation, due to high-detailed road graphs, as well as sidewalks, crosswalks, and generic “obstacles.” The system is based on a low-cost modular sensor box (embedded hardware) interfaced with a mobile/phone application that acts as an intelligent navigator. The main novelty is the aptitude to sense the surrounding area while having the ability to perform a quick path replanning, due to a true-time link to a remote server, if an obstacle is detected. The sensing is performed using completely different sensors, like ultrasound, lidar, and a seventy seven-GHz mid-range automotive radar (absolutely novel within the AAL context), that are processed and fused in the well-established robot operating system (ROS). We tend to tested the framework by analyzing its performance in two different configurations and environments by using, respectively, a sonar and a laser rangefinder during a building state of affairs and a radar in an urban atmosphere. Even if in both cases results demonstrated a quite smart robustness within the obstacle detection with a quasi-real-time route replanning, we have a tendency to were mainly interested and succeeded in demonstrating the high flexibility and extensibility of our framework.