Name
Abstract | ||
|---|---|---|
The wealth of sensor data generated by advanced vehicular sensors that are fitted in new, connected vehicles enables new applications for driver behavior, road health monitoring, and incident reporting. However, standard access mechanisms to the data restricts the services and insights that can be provided by vehicular applications. For those applications to have full access to all of the vehicular sensory data, custom hardware fitted with proprietary automaker software is needed to process raw sensor values. This limits rapid deployment at scale because of the time and costs needed for mass development across proprietary platforms. In this paper, we propose a system to provide access to the raw sensory data using the vehicle's identification number in order to retrieve the vehicles sensors identification numbers, their description, and their related software libraries that house the data processing algorithms specific to the vehicle's make and model. Smartphones can collect raw sensory data through the vehicle's CAN-Bus interface, and use those software libraries to transform raw data into standard formats that can be used by vehicular applications. This way, many applications can be developed without having to worry about customization of hardware to process the data produced by each automaker's sensor platforms. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE | vehicular sensing, VIN, OBDII, CAN-Bus |
Field | DocType | ISSN |
CAN bus,Data processing,Software deployment,Custom hardware,Computer science,Raw data,Computer network,Real-time computing,Software,Automotive industry,Personalization,Embedded system | Conference | 1525-3511 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Najah Abu Ali | 1 | 93 | 13.87 |
| Mervat AbuElkhair | 2 | 1 | 0.36 |
| salah bouktif | 3 | 180 | 14.54 |