01472169

Component

Three-dimensional modeling of transportation infrastructure assets such as roadways, bridges, signage, guard rails, etc., provide engineers an analysis framework that previously was too labor intensive and cost prohibitive to manually collect. The emerging industry standard for point cloud data collection is the use of either airborne or terrestrial based Light Detection and Ranging (LiDAR). The problem is that LiDAR hardware currently costs tens to hundreds of thousands of dollars and requires trained personnel to operate. Described within this paper are examples of how a low cost consumer grade electronic, the Microsoft Kinect sensor, can be used to collect point cloud data similar to terrestrial based LiDAR. For less than two hundred and fifty dollars, a Kinect sensor can be used by engineers to capture a wide range of transportation features such as bridge underpass heights, guard rail features, road signs, and the distance of the nearest roadside object. The approach presented herein automatically locates bridge under-passes with the Kinect Sensor, calculates the lowest clearance, and exports that data in an attributed GIS shapefile. In addition, guard rails and road signs can be identified and measured from Kinect sensor data.

This paper was sponsored by TRB committee AFB80 Geospatial Data Acquisition Technologies in Design and Construction.

01470560

13-2733

English

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; References

Cost effectiveness; Mathematical models; Remote sensing; Underpasses

Data and Information Technology; Highways; I70: Traffic and Transport

Transportation Research Board Annual Meeting 2013 Paper #13-2733

TRIS, TRB, ATRI

Feb 5 2013 12:34PM