In-vehicle electronic equipment aims to increase safety, by detecting risk factors and taking/suggesting corrective actions. This paper presents a knowledge-based framework for assisting a driver via her PDA. Car data extracted under On Board Diagnostics (OBD-II) protocol, data acquired from PDA embedded micro-devices and information retrieved from the Web are properly combined: a simple data fusion algorithm has been devised to collect and semantically annotate relevant safety events. Finally, a logic-based matchmaking allows to infer potential risk factors, enabling the system to issue accurate and timely warnings. The proposed approach has been implemented in a prototypical application for the Apple iPhone platform, in order to provide experimental evaluation in real-world test drives for corroborating the approach.
|Titolo:||A Mobile Knowledge-Based System for On-Board Diagnostics and Car Driving Assistance|
|Data di pubblicazione:||2010|
|Nome del convegno:||The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|