Outline - ViaTech AS

Outline

❑ ViaTech Company Introduction

❑ About ViaPPS (Pavement Profile Scanner)

❑ ViaPPS Deliverables as per MoT Specifications

❑ Major Clientele - ViaPPS

Company Introduction..

About ViaTech

The Journey So Far….

Founded in 1997

Norwegian Company based out of Kongsberg

An employees owned company

Having more than 150+ year of experience in R&D

Approved CEN/TS -15901-14

Global Presence

About ViaTech

Solution Range Industry Spread Partner Network

Laser Scan Technology

Control Systems

Design of Electronics

Mathematical Modelling

Embedded Systems

Software Development

Transportation

Defense

Maritime

Paper / Process Control Systems

Airports

Phone Communication

Asia

India

Philippians

Thailand

Vietnam

Indonesia

EuropePoland

Central & South

America Chile

United Kingdom

Mexico

China

About ViaTech

Via3DMapper

ViaPPS

Our Products

ViaFriction - Highways

About ViaPPS (Pavement Profile Scanner)

ViaPPS

Pavement Profile Scanner (ViaPPS)

ViaPPS

Component of ViaPPS

Laser Scanner Z+F POS LV from Applanix Ladybug Camera & Sensors

Range – 119mRotation Speed 200 RPSField of View 360°

Compact & Integrated SystemSupport Multiple IMU’s

ViaPPS

– Longitudinal and transversal profile

– Rut depth, rut area and rut area volume

– Crossfall & Crossfall Requirement, curve radius

– Longitudinal deflection/Bumps

– IRI and MPD

– Width of the lane Bad joints of the asphalt / Concrete

– Crack and Potholes parameters

– Tunnel/Bridge profile including height

– 3D data to external standard format such as xyzi, las/laz

– WEB interface and 360 photo integration

ViaPPS Performs / Captures Following Parameters

ViaPPS

3D Point Cloud Data Rut Depth ViaPPS Analyser Rut Depth

Surface Defect Capture Generation of Maps & Reports Integration with Orbit GT

Reports Generated by ViaPPS

ViaPPS

❑ High speed data collection (from 40 km / hour – 120 km / hour) with automated data processing and report

generation

❑ High accuracy point cloud data (3cm – 5cm after post processing)

❑ Captures corridor data which can be used for other applications (project planning in case of road widening ,

asset mapping, 3D city modelling, route alignment of optic fibre cable etc)

❑ Used for checking the quality of new highways constructions

❑ Used in planning of road maintenance schedule by generating BOM from road data bank through Pavement

Management Systems

❑ Can categorizes the maintenance schedule preferences as per pavement condition

❑ Can be used in airports for Pavement condition mapping and PCI generation

❑ Used in Budget allocations

❑ Can be further integrated with Bridge Management, Tunnel / Facilities Management System and Works /

Contract Management Systems

Main Application / Features of ViaPPS

ViaPPS Deliverables as per MoT

Specifications

Road Inventory Data

Road Inventory Data – Location Reference Post

Field Remarks

NH Number Manually

LRP Name Manually

Chainage Manually

Latitude Through the system

Longitude Through the system

Survey Date Through the system

Old NH Number Manually

Section Code Manually

Road Inventory Data – Carriageway, Road and Pavement Type

Deliverables

Point Cloud Data

Photographs in image format

Point Cloud Data ForCarriageway and Road Type

3D Panoramic View for Carriageway and Road Type

Pavement Type -Concrete

Pavement Type -Asphalt

Sensors Used

Z+F Scanner

ViaPhoto

3D Panoramic Photos (Ladybug)

Applanix LV 220

Output Expected –Carriageway Type

Divided

Undivided

Output Expected –Road Type

1 /2 /4/6 Lane

Intermediate Lane

Output Expected –Pavement Type

Asphalt

Cement Concrete

Road Inventory Data – Pavement Width, Shoulder Type and Width

Deliverables

Point Cloud Data


Pavement Width on Point Cloud data in ViaPPS

Desktop

Shoulder Type - Paved

Pavement Width Measurement Measures Shoulder

Width in ViaPPSDesktop

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220

Output Expected –Pavement Width

Width In Meters

Output Expected –Shoulder Type

None

Paved

Gravel

Earth

Output Expected –Shoulder Width

Width In Meters

Road Inventory Data – Topography, Cross Section and Drain Type

Deliverables

Point Cloud Data


Topography - Flat Topography - Hilly

Road Profile / Cross Section

Drain Type

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220

Output Expected –Topography

Flat

Rolling

Hilly

Output Expected –Cross Section Types

Cut / Fill

Cut and Fill

Level

Output Expected –Drain Type

Open Unlined

Open Lined

Covered Line

No drain

Road Inventory Data – Median Opening, Right of Way and Pavement Composition

Deliverables

Point Cloud Data


Median Types Median Types

Right of Way - Width Pavement Composition

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220

Output Expected – Media Opening

Raised / Depressed

Barrier

None

Output Expected – Right of Way

ROW width in meters

Output Expected – Pavement Composition

Pavement Type

Pavement Thickness

Year of Construction

Latitude -Longitude

Road Inventory Data – Carriageway Furniture, Wayside Amenities, Land Use

Deliverables

Point Cloud Data


Carriageway Furniture Wayside Amenities

Carriageway Furnitures Landuse

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220

Output Expected – Carriageway Furniture

Crash Barriers

Sign / Street Lights

Kms Stone

Output Expected – Wayside Amenities

Bus Shelters / Culverts / Toll plaza

Restaurant / Rest Rooms / Toilets etc

Output Expected – Landuse

Residential / Commercia

Industrial / Agriculture

Water Bodies

Mixed

Road Condition Data

Visual Condition

Deliverables

Point Cloud Data


Point Cloud Data3D Panoramic View I

3D Panoramic View II

View From ViaPhoto

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220

VelodyneSensors (optional)

Pavement Facing Camera (Optional)

Visual Condition Data– Raveling

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data


Homogeneity Diagrams

ViaPPS Desktop Algorithms

Point Cloud Data

3D Panoramic View

ViaPhoto

Homogeneity

Output Expected

Very Poor >30%

Poor (11-30%)

Fair (6-10%)

Good (1-5%)

Very Good (0%)

Visual Condition Data– Potholes

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Point Cloud Data3D Panoramic

View

Surface Defects

Output Expected

Very Poor (>5)

Poor (3-5)

Fair (2)

Good (1)

Very Good (0)

Deliverables

Point Cloud Data




Homogeneity

Visual Condition Data– Edge Break

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




Point Cloud Data3D Panoramic

View

Road Defects

Output Expected

Very Poor (>5 sq.m)

Poor (1-5 sq.m)

Fair (0.5-1 sq.m)

Good (0-0.5 sq.m)

Very Good (0 sq.m)

Homogeneity

Visual Condition Data– Cracking

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




Point Cloud Data

3D Panoramic View

Road Defects Homogeneity

Output Expected

Very Poor >30%

Poor (21-30%)

Fair (10-20%)

Good (1-10%)

Very Good (<1%)

Visual Condition Data– Disintegration

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




Distribution based on Deviation

3D Panoramic View

Homogeneity With Standard Deviation

Output Expected

Very Poor >50%

Poor (20-50%)

Fair (10-20%)

Good (1-10%)

Very Good (<1%)

Visual Condition Data– Depression

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




Road Profile (Transverse)

3D Panoramic View

Longitudinal Profile

Output Expected

Very Poor >5%

Poor (3-5%)

Fair (1-2%)

Good (0-1%)

Very Good (0)

Visual Condition Data– Bleeding

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




Point Cloud Data 3D Panoramic View

Homogeneity With Standard Deviation

Output Expected

Very Poor >50%

Poor (20-50%)

Fair (10-20%)

Good (1-10%)

Very Good (<1%)

Visual Condition Data– Patching

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




Point Cloud Data ViaPhoto

Homogeneity

Output Expected

Very Poor >30%

Poor (16-30%)

Fair (6-15%)

Good (2-5%)

Very Good (<2%)

Visual Condition Data– Drain Condition

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




Point Cloud Data

3D Panoramic View

Homogeneity

Output Expected

Poor

Fair

Good

3D Panoramic View

Visual Condition Data– Shoulder Condition

Sensors Used

Z+F Scanner

ViaPhoto


Applanix LV 220



Deliverables

Point Cloud Data




3D Panoramic View

Output Expected

Poor

Fair

Good

3D Panoramic View

3D Panoramic View

3D Panoramic View

Roughness (IRI)

Sensors Used

Z+F Scanner

Applanix LV 220

IRI+


Deliverables

Point Cloud Data

Roughness (IRI) and Average IRI over a span

Mean Profile Depth (MPD) and Average MPD over a span

Speed of Vehicle

Output Expected

IRI at Left Wheel

IRI at Right Wheel

Average IRI

Speed

Latitude / Longitude

Roughness (IRI)

Average Roughness (IRI) over 100m

Rutting

Sensors Used

Z+F Scanner

Applanix LV 220

IRI+


Deliverables

Point Cloud Data

Rut Depth -Right and Average Rut Depth over a span

Rut Depth -Right and Average Rut Depth over a span

Speed of Vehicle

Output Expected

Rutting Left

Rutting Right

Rutting Average

Speed


Rut Depth and Average Rut Depth on Left

Rut Depth and Average Rut Depth on Right

Texture Depth (MPD)

Sensors Used

Z+F Scanner

Applanix LV 220

IRI+


Deliverables

Point Cloud Data

Roughness (IRI) and Average IRI over a span

Mean Profile Depth (MPD) and Average MPD over a span

Speed of Vehicle

Output Expected

Texture Depth at Left Wheel

Texture Depth at Right Wheel

Average Texture Depth

Speed


Mean Profile Depth (MPD)

Mean Profile Depth (MPD) over 100m

Skid Resistance (Friction)

Deliverables

Speed of Vehicle


Name /NH No Nomenclature

Friction Coefficient

Output Expected

NH / Lane No

Texture Depth at Right Wheel

Skid Left / Right / Average

Speed


Single Wheel

ViaFriction Reports

ViaFriction SystemTwo Wheel

Variable Slip Measurement

Sample Friction Report

Other Deliverables

Tunnels With Different Surfaces Road Edge &

Markings

Manholes

Export to 3rd party Point Cloud data software’s

Other Deliverables

Standard Deviation Chart

Crossfall

Curve Radius Color Coding Defects on Map

Major Clientele

Major Clientele (ViaPPS)

❑ Norwegian Public Road Administration, Norway

❑ Asfalt Technical Institute, Norway

❑ Terratec, Norway

❑ Teed, Estonia

❑ Innova 3, Mexico

❑ Vectura, Sweden

❑ CTC Builders and Suppliers, Philippines

❑ Ceinsys, India

Challenges & Offerings

▪ Need Fast and accurate Mapping of road pavement and assets

▪ Can Map around 300 kms per day in single vehicle

▪ Survey challenges in heavy traffic

▪ Mapping can be done at less peak hours / nighttime

▪ Different surveys needed for pavement conditions, road assets and safety parameters

▪ Can be carried out together in single combined vehicle

▪ Data available in different patches

▪ Creation of National road data bank ensures data to be present in centralized system

▪ Monitoring of construction quality and budgeting is person dependent (traditional methods)

▪ Process to automated by introducing transparency in the system

▪ Presentation of financial losses

▪ Road condition forecasting to be done by PMS

▪ System maintenance

▪ Entire operations can be maintained till handholding

▪ Road safety in lieu of increased average speed on highways

▪ Period measurement of friction parameters highlights problematic patches which are suspectable for skidding

Company credentials

❑ Inhouse developed technology for pavement and friction scanning

❑ Method included in Norwegian Public Road Authority Manual for its application

❑ Entire road maintenance for Norway is done by ViaTech’s Solution

❑ Using this technology NPRA measures around 100,000 R-km of road each annum since last 10 years

❑ Software can be upgraded as per local requirements (upgraded each year)

❑ In Norway budget of $US 800m is approved based on reports generated by this systems (cost of using this systems (including operations) < 0.5% of budget)

❑ On lines of Norway, working extensively in Poland as a technology partner to highway authorities

❑ Have sold units in various countries such as Norway, Denmark, Poland, Sweden, Italy, Mexico, India, Philippians etc.

Thanks..

Nikhil Dakshindas

[email protected]

mailto:[email protected]

Outline - ViaTech AS

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