SYSYMay 3, 2017

Hybrid Urban Navigation for Smart Cities

arXiv:1705.0151614 citationsh-index: 46
Originality Synthesis-oriented
AI Analysis

For smart city applications requiring robust navigation, but the proposal is conceptual with no validation.

The paper proposes a hybrid urban navigation system combining GPS, vehicle-to-vehicle communication, and RFID to enable safe navigation for drones and visually impaired pedestrians. No concrete results or performance numbers are provided.

This paper proposes a design for a hybrid, city-wide urban navigation system for moving agents demanding dedicated assistance. The hybrid system combines GPS and vehicle-to-vehicle communication from an ad-hoc network of parked cars, and RFID from fixed infrastructure -such as smart traffic lights- to enable a safely navigable city. Applications for such a system include high-speed drone navigation and directing visually impaired pedestrians.

Foundations

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