In any infrastructure project, managing the built assets is an important task. In the case of transportation asset inventories, a significant cost and effort is spent on recording and storing the asset information. In order to reduce the time and cost involved in road corridor mapping, this paper proposes a low cost MMS (Mobile Mapping System) using an equipped laser scanner and cameras. The process of building the MMS, components and sensors involved and calibration procedures are discussed. The efficiency of this Mobile Mapping System is experimented by mounting it on a truck and golf cart. The paper also provides a framework to extract road assets both automatically and manually using stateof- the-art techniques. The efficiency of this method is compared with traditional field survey methods. Quality of collected data, data integrity and process flow are experimented with a sample asset management framework and a spatial database structure for mapping road corridor features. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection