Sign Retroreflectivity Data

Mandli’s mobile RetroView system allows for the collection of retroreflectivity data from a moving vehicle traveling within the flow of traffic. The system provides a fast and safe method of collection; no personnel are required to exit the vehicle at any time to measure sign attributes, reducing the risk of injury to both the working personnel and the traveling public.

Other retroreflectivity measurement methods do not provide the advantages of RetroView. Nighttime sign inspections lack accuracy and provide no data for quality assurance. Handheld retroreflectometers are a slow method of data collection, and often put personnel in hazardous positions. Blanket sign replacements are not cost effective and do not produce an accurate sign inventory.

Mandli’s RetroView system provides solid data as to the state of each individual sign, allowing for the implementation of a precision sign replacement plan. A sign management database can be developed that inventories all of the collected sign inspection data, and includes management tools to track maintenance requirements, schedules, and budgets.

  • Collection of retroreflectivity data from a mobile system
  • No need for handheld reflectometers or nighttime inspection
  • Increases safety of data collection process

Clearances

Overhead clearances are often difficult, time consuming, and hazardous to inventory manually. With Mandli’s LiDAR data collection possible obstructions, such as power lines and vegetation, can be automatically identified and extracted. The data can be used to display the number of obstructions present, the physical proximity between them, and the proximity from the obstructions to the road. Attributes such as vegetation density and distance can also be measured and outputted in a convenient format.

  • Measurement of both vertical and horizontal clearances
  • Automatic identification of objects hanging over roadway
  • Able to measure density of vegetation

Real-Time Differential GPS

Position, velocity, attitude, track, speed, and dynamics are all collected from a moving vehicle with Mandli’s positional system. The data provides motion compensation information to other sensor systems onboard the data collection vehicle, and is used to create centerline maps and calculate geometric data such as curvature, grade, and cross-slope. The DGPS information provides real-time corrections to the vehicle by utilizing permanent base stations located throughout the continental United States.

Mandli’s system includes an Inertial Measurement Unit (IMU) with real-time differential, and a wheel encoder Distance Measurement Instrument (DMI) that provides a measure of the vehicle’s linear distance traveled, and is used to constrain errors in vehicle velocity and displacement.

  • Collect positional data for motion compensation information and centerline map creation
  • Utilizes IMU and wheel-encoder DMI
  • Able to extrapolate road geometry such as curve, grade, and cross-slope

Curve and Grade

Mandli’s positional system uses differential GPS and an inertial measurement unit (IMU) to extrapolate road geometry such as curve, grade, and cross-slope. The vertical grade (slope) and horizontal grade (cross-slope) are standard outputs from Mandli’s POS LV system.

Mandli’s positional system uses differential GPS and an inertial measurement unit (IMU) to extrapolate road geometry such as curve, grade, and cross-slope. The vertical grade (slope) and horizontal grade (cross-slope) are standard outputs from Mandli’s POS LV system. They are also referenced as pitch and roll respectively. Due to the fact that these measurements come directly from the inertial sensor, they are highly accurate and reliable.

  • Curve can be calculated using a chord or an arc length as set by the user
  • Grade values are outputted as percent
  • Curve and grade classes are fully customizable

Right-of-Way Imaging

Mandli’s right-of-way imaging system is capable of recording digital images and data in a variety of weather, speed, and lighting conditions. The imaging software controls data collection with real-time image viewing, camera controls, GPS data, route setup and management features, and DMI calibration and operation.

Mandli’s right-of-way imaging system is capable of recording digital images and data in a variety of weather, speed, and lighting conditions. The imaging software controls data collection with real-time image viewing, camera controls, GPS data, route setup and management features, and DMI calibration and operation. To ensure that high-quality images are collected, the software provides preset and manual camera settings for various lighting controls. The cameras are also able to adjust to different lightning conditions in order to capture quality images in both high and low light environments.

  • Real-time monitoring of image collection
  • Frame rate ranges from 100 to 500 images per mile
  • System operational at speeds ranging from 0 to 70 mph
  • Images are referenced to linear distance traveled (DMI) and DGPS information
  • Images compressed in JPEG format
  • Camera resolution ranges up to 3296 x 2472 pixels

Asset Encroachment

Power lines are often a difficult, time consuming, and hazardous asset to inventory manually. Power lines and surrounding vegetation can be automatically catalogued with Mandli’s LiDAR data collection system.

Power lines are often a difficult, time consuming, and hazardous asset to inventory manually. With Mandli’s LiDAR data collection system, power lines and surrounding vegetation can be automatically catalogued. The data can be used to display the number of power lines present, the physical proximity between the individual lines, and the proximity from the power lines to the road. A frequent cause of power outages is vegetation encroachment on suspended power lines. Vegetation density and distance can also be measured and outputted in a convenient format.

  • Inventory power lines quickly and easily
  • Identify problem areas for vegetation encroachment
  • Create customized databases from the information

Intersection Modeling

Railroad and street intersections can be some of the most dangerous areas on the road. Using our LiDAR and imaging systems, Mandli reproduces realistic and accurate representations of these intersections.

Railroad and street intersections can be some of the most dangerous areas on the road. Using our LiDAR and imaging systems, Mandli can reproduce a realistic and accurate representation of these intersections, including everything seen by train operators, motorists, and pedestrians. Full and partial obstructions of the tracks and streets, as well as location of signage and pedestrian walkways, are all clearly visible. An interactive archive of railroad conditions including field of view and signage is useful for making safety improvements, sorting out legal issues, and as a visual verification of existing data reports. Our combination of LiDAR and imaging data provides a complete view of each crossing, making it more useful than standard image collection alone.

  • Fully interactive model of intersection created with LiDAR data
  • Recreated views of motorists, train operators, and pedestrians
  • Useful tool for making safety improvements

Asset Inventory

Mandli’s LIDAR, imaging, and positional data is used to extract relevant assets from collected highway data. All assets can be referenced to the GPS and right-of-way imaging data.

Mandli’s LIDAR, imaging, and positional data can used to extract relevant assets from collected highway data. All assets can be referenced to the GPS and right-of-way imaging data.

Customized databases can be used to record characteristics for many different types of assets, and can include the number of assets in a particular area, their dimensions, and a photo reference of the selected assets. Sample assets that can be extracted include:

  • Trees, Non-Breakaway Poles and Walls
  • Shoulder Slope
  • Shoulder and Lane Width
  • Roadway Slope
  • Curvature
  • Super Elevation
  • Passing Areas, Acceleration, and Deceleration Lanes
  • Acres of Landscape, Wildflowers, and Mowing Limits
  • Asphalt and Concrete Lane Miles
  • Asphalt and Concrete Shoulder Miles
  • Fences
  • Attenuators
  • Delineators

Urban Modeling

Mandli’s LiDAR data collection system is an excellent tool for providing accurate models of urban areas. These models can be used to plan improvements, inventory assets, and evaluate civil concerns.

Mandli’s LiDAR data collection system is an excellent tool for providing accurate models of urban areas. These models can be used to plan improvements, inventory assets, and evaluate civil concerns. The LiDAR data is easy to collect and update, providing a realistic representation of the urban environment that is three-dimensional and fully interactive. All buildings, objects, and roadway assets that are viewable from the street can be clearly seen in the post-processing software. These objects can be extracted and tagged to maintain an easy-to-use and accessible database of urban assets.

  • Plan improvements, inventory assets and evaluate civil concerns
  • Fully interactive model
  • Create customized databases