Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 20, Pages: 1-7
Jae Moon Lee*
*Author for correspondence
Jae Moon Lee Department of Multimedia Engineering, Hansung University, Korea; [email protected]
Background/Objectives: In recent industry, self-driving vehicles are very actively researched because they are considered as a new industrial power in most countries. In self-driving vehicles, many different fields should be researched at the same time. The research of road database for self-driving vehicles should not be indispensable in those fields. Methods/ Statistical Analysis: In order to design the road database for self-driving vehicles, the conventional road database should be enhanced in many sides, because it is designed as auxiliary equipment under assumption that a human is driving the vehicle. While the conventional road database are focused on the accumulation of static data, the road database for selfdriving vehicles must include dynamic data such as roads that may be temporarily closed because of repairing. Findings: This paper proposes the design of a road database for self-driving vehicle so that it includes dynamic data as well as static data on roads. In order to provide a generality and scalability of road database, we design the database by using the well-known Entity-Relationship Model. In order to simplify the database, we also use the abstracting method and then extracted 6 entities and 10 relationships. From these entities and relationship, the entity-relationship diagram is also proposed. Improvements: The design road database can also be extended by using other relational methods than EntityRelationship model.
Keywords: Database, Entity-Relationship Model, Road, Self-Driving Vehicle
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