Evaluating the Use of Unmanned Aerial Vehicles for Transportation Purposes—Phase I

Hexacopter flying over a bridge.

Objectives of the study were to develop, test, and demonstrate how Unmanned Aerial Vehicle (UAV) technology can help provide visual inspections from above for a variety of structures, locations, and roadway assets of interest to the Michigan Department of Transportation (MDOT) such as:

  • Assessing confined spaces, including pump stations and entrances to sewers and culverts
  • Demonstrating how UAVs can be deployed for traffic operation monitoring 
  • Investigating how UAV-based optical and thermal IR technologies can be used to evaluate surface and structural integrity of bridge elements
  • Demonstrating how a lidar sensor could be used to rapidly assess and inspect transportation infrastructure

Non-Destructive Evaluation Techniques

 Creating a state-of-the-practice report covering the use of UAVs for transportation purposes was the first step in understanding how this type of technology could prove beneficial for MDOT. Through this review, different types of sensors, platforms, and applications that have been proven to work for other UAV applications were noted and applied toward this study. These included optical (visible and near-infrared light), thermal, and lidar sensors that are attached to single- and multi-rotor helicopters, tethered devices (balloons and blimps) platforms. The following sections describe the types of infrastructure that our UAVs and sensor were prioritized to sense, based on MDOT input and the work plan.

Aerial view of an unpaved road.

Roadway Assets and Traffic Monitoring

UAV Based Monitoring

Lower cost UAVs have a shorter flight time and can typically be used for short term monitoring (30 minutes). Imagery is collected through HD video or pictures taken with a camera. From the UAV imagery, feature-based algorithms and classifiers can be “trained” to detect and track roadway assets. The tracker is generalized such that any type of roadway assets could be detected and tracked; e.g., different types of signs and indicators, guard rails, and lamps.

Four images of traffic signs and lights.

UAVs can also be used for crash scene documentation. During a mock incident, the project team’s role was to work closely with the Michigan State Police, MDOT, and other participants to show how UAV-based imaging can provide useful data on a practical basis during an emergency response incident representative of a situation where lives are at risk and information that is needed as quickly as possible can collected safely. The information was available to the incident command center as soon as the hexacopter landed. The traffic monitoring blimp was rapidly moved over to the incident area to make the video feed available as well.

Semi truck with trailer tipped over.
Overhead view of two cars on a road.
Police cars at an intersection with a drone flying overhead.

The Traffic Monitoring Blimp

Tethered blimps can provide near-real time traffic monitoring, transmitting imagery to ground based receivers over extended periods of time. Aerostats/blimps are useful for applications that require temporary but persistent observation of an area on the ground. Blimps can be sized to payload requirements and designed to weather conditions. The blimp used is ~15 feet long and 5.5 feet in diameter; it requires about 300 square feet (8.5 square meters) of helium (just about one tank of helium) to fill. Net lift is ~8 pounds (3.6 kilograms); working lift is approximately 50 percent of net lift or 4 pounds (1.8 kilograms). The blimp can be safely flown in winds up to 15 miles per hour. It was used to demonstrate traffic monitoring during four days of the 2014 ITS World Congress in Detroit, Michigan.

Two images of the blimp in the air and one aerial view of a roadway.

Confined Space Inspection

Micro-UAVs with camera and sensor attachments can be flown in confined spaces, such as pump stations and culverts, to determine if they are safe enough to send a person into. They have the ability to send HD video of the confined space back to the operators’ cell phone as well as being saved to a memory card during the flight. Smaller UAV were better to use because they could get closer to walls, obstacles, and fly through smaller spaces.

Drone flying in a room with pipes.
Pipes and a grate in the floor.
Mobile device showing the view from the UAV.

Bridge Asset Management and Condition Assessment

Satellite map of Interstate-96.

Interstate 96 is a major freeway system that connects eastern (Detroit) Michigan to western (Muskegon) Michigan. The expressway, which is exhibiting major roadway distress, had not experienced any major reconstruction projects since opening in 1971. Due to the interstate’s poor condition, MDOT conducted a major reconstruction project known as 96 Fix, stretching from Newburgh to Telegraph roads. The interstate was completely shut down for six months from late March through late September of 2014. Seven miles of road, 37 overpasses (bridges), and 24 entrance/exit ramps were either completely replaced or updated, costing approximately $148 million.

Characterization of Bridge Elements

Structure from Motion (SfM) techniques were employed to create 3D models and fused with thermal data for a complete evaluation of bridge condition through automated detections of surface and sub-surface defects. The automated spall detection algorithm developed by Brooks and Dobson was applied to high-resolution 3D elevation models (DEM) to detect surface defects such as spalls, potholes, cracks, etc. The information was then combined with thermal data and automated delamination detection was run to find sub-surface defects that are evident in thermal, but not visible imagery.

Aerial view of an overpass.
Optical view of Merriman East (150 square feet, 4.4% spalling)
Aerial view of an overpass with red thermal imaging coloring.
Thermal view of Merriman East (150 square feet, 4.4% spalling)
Aerial view of an overpass with small red circles on it.
Merriman East (150 square feet, 4.4% spalling)

Platforms

Hexacopter on the ground.
Bergen Hexacopter
UAV flying above a building.
Small UAV 
UAV on a table.
Micro UAV

Sensors

Nikon camera
Optical DSLR 
LiDAR
lidar
Infrared camera
Forward Looking IR 

Non-Destructive Evaluation Techniques

Pickup truck with mounting structure in the back.
Overlapping Imagery: 3DOBS and UAVs were used to inspect and characterize conditions, including spalling/potholes, cracks, etc.

Figure showing delamination from surface heating.

A thermal image next to a regular photo of a cracked roadway.
Thermal IR Imagery: Delimination can be detected by the interruption of heat flow on a concrete body.
LiDAR image of a bridge.
Lidar: Light detection and ranging sensor was used to create a 3D model of the bridge. Elevation and intensity are displayed in this model, consisting of more than 186 million points.

These technologies were featured at a demonstration during the 2014 ITS World Congress in Detroit (September 2014).

More Information

January 2017—TRB 96th Annual Meeting Compendium of Papers includes MTRI's "Transportation Infrastructure Assessment through the Use of Unmanned Aerial Vehicles."

March 2016—Project featured in Transportation Tomorrow: 'New Visions From Above & Beyond: Multiple Uses for UAVs in Transportation.'

November 2015—Traffic Technology International reports on regulations with UAV's and tethered blimps. Read more on how tethered blimps enable applications beyond current UAV regulations.

November 2015Colin Brooks from MTRI presenting at UAS Reno 2015.

July 2015—MTRI was mentioned for their traffic monitoring blimp in Traffic Technology International

May 2015—MDOT Research Administration published the project's Final Report:

April 2015MDOT Research Spotlight on Phase I UAV Applications project

January 2015—MTRI's Colin Brooks was interviewed by WILX News 10 in Lansing, Michigan about use of UAVs in Michigan

September 2014UAV demonstration video presented at the Traffic Monitoring Center during the 2014 ITS World Congress in Detroit, Michigan

A preview of demonstrations given at the 2014 ITS World Congress