RoadAR - free mobile application, targeted on drivers. This app will gather video and GPS data from smartphones, analyze it and build smart maps for drivers. The app will recognize traffic signs, roads itself, road surface quality, billboards information, traffic jams etc. We are going to become a platform for geo-targeted audio advertising of local businesses. Also we will sell information from this database for our b2b and b2g customers. Now we have an android app called RoadAR, which recognizes road signs, puts them into database (with GPS position) and warns drivers when they are breaking limits or approaching a bump or a pothole at high speed. See www.roadar.ru for details.

1. Premium-quality navigation
for everyone
(with Augmented Reality, AR)

2. © Eugeniy Nikolskiy, 10.2013. v.2.0
Premium-quality navigation
for everyone
(with Augmented Reality, AR)
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In most cases navigation systems have outdated maps
The main problem is manual data input.
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Relevance of some maps at «Leninskaya» dam, Kazan
~ 4-6 months ~ 6-8 months
(“people’s” map ~ 1,5 months)
~ 2 months
Navitel OpenStreetMapsYandex

4. © Eugeniy Nikolskiy, 10.2013. v.2.0
Navigator’s hints are useless on complicated road
interchanges
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Sometimes car drivers aren't sure if they’ve
missed a road sign or not
I often doubt before
overtaking
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There are no navigation systems with 100% relevant
information from roads.
Truckers use radio connection and always
keep each other informed. There is no
community like that for usual drivers.

7. © Eugeniy Nikolskiy, 10.2013. v.2.0
There are no mobile applications on market which
have all features driver's needs.
We decided to create it!
Meet RoadAR
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DVR
Recording video in short fragments
Fragment is marked as “do not delete” when system gets signal from accelerometer (in case of
car accident or speed bump). Other fragments could be deleted when memory is full.
GPS refinement by analyzing video
We are going to make GPS tracks more accurate using visual odometry and data from sensors of
modern smartphone (accelerometer, compass, gyroscope).

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Automatic map creation
IMPORTANT: Having accurate GPS data and frames from the
video (shot with measured coordinates), we can calculate
the coordinates of any object that entered the camera
field of view!

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Example of the road sign coordinates detection
Calculated road sign’s
coords
A road sign on the two video frames (with
known coordinates of a survey)
Shooting points of
two frames
Cameras of user`s smartphones will help us to create a road signs map of the whole
world. Crowdsourcing in action.
Map data © Google Maps
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Automatic map creation
Why do we need this?
Automatic map creation
Map is going to be very accurate (mapping is based on the exact tracks).
Automatic road signs recognition and placing on map
Also buildings and other objects.
Roads quality map
Detecting cracks, potholes and bumps with accelerometer
Gathering BIG DATA
Users routes, billboards images, gas stations prices etc.
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Navigation
Computing optimized routes
Actual for every moment due to system capability to track all changes
Applying the route directly on the video
Augmented Reality in action
Traffic jams map
Using not only drivers tracks to determine traffic speed, but also DRV data.
Opposite traffic
speed: 10 km/h
Direct traffic speed:
40 km/h
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Radio
Users can communicate, hearing each other within a
certain radius.
System defines distance between users with GPS-data.
Out of range
Within radius
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Radio
Exchange GPS points and routes.
It is much easier to point the place rather than explaining how to get there.
Car drivers are forming a community.
We create a social network on the road. People in the cars will be more polite to each other. Rating will
make the network become self-managed.
Map data © OpenStreetMap contributors
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Draft interface
Highlighted road
signs restrictions
POI highlighted
exactly on the video
stream
Mini-map
Augmented Reality
navigation
Recognized signs
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Monetization
Processing the video from thousands of smartphones
we can collect extensive database of traffic information: roads
quality, billboards along the roads, prices at the gas stations,
traffic information, road signs etc. This information is needed by
many businesses and government.
Knowing people movements by their tracks, we will be able to
become a platform for geo-targeted advertising for local
businesses.
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Market
Mobile advertising market in 2016 will exceed $ 30 billion globally (in Russia $ 215 million). The world
market of the augmented reality applications will exceed $ 4 billion (in Russia $ 109 million). Number of
downloads of each from top-level applications of the AR and video recording is about 50 million.
0
10
20
30
2012 2013 2014 2015 2016
Mobile advertising market
billion $
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Competitors
RoadAR Wikitude Layar Sygic Waze Navitel Yandex Zello AlterGeo
Voice messaging         
Text messaging         
Navigation         
Up-to-date maps         
AR         
Geo-targeted advertising         
Audio advertising         
AR-navigation         
Target audience - drivers         
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Team
1. Eugeniy Nikolskiy. CEO, founder.
2 years in Game Development exp. (Space Rangers 2, Art Mogul), 3 years as Regional Director in federal company, 8 years in 3D
(modelling & programming). Math skills, marketing. High education: automated systems.
2. Marat Bashlikov. COO, founder.
8 years in business, 3 years as Business Development Director in federal company. Marketing, math skills. Kazan Federal
University, sociologist, lecturer of social sciences.
3. Andrey Chernih. CTO, founder.
3 years at own software-outsourcing company (metastudiohq.com), 6 years in software development. High education: automated
systems.
4. Foat Akhmadeev. Computer vision.
5. Alexander Cherkasov. Visual odometry.
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20. © Eugeniy Nikolskiy, 10.2013. v.2.0
Nikolskiy Eugeniy
e-mail: eugeniy@gmail.com
tel: +7 927 670 24 94
facebook: fb.com/nikolskiy.eugeniy
Thank you for attention!
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