roadar v.2.0 english
TRANSCRIPT
© Eugeniy Nikolskiy, 10.2013. v.2.0
Premium-quality navigation for everyone
(with Augmented Reality, AR)
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© Eugeniy Nikolskiy, 10.2013. v.2.0
In most cases navigation systems have outdated cartography
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
© Eugeniy Nikolskiy, 10.2013. v.2.0
Navigator’s hints are useless on the complicated road interchanges
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© Eugeniy Nikolskiy, 10.2013. v.2.0
Sometimes car drivers aren't sure if they’ve missed a road sign or not
I often doubt before overtaking
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© Eugeniy Nikolskiy, 10.2013. v.2.0 6
There is no any navigator system with 100% relevant information from the roads.
Truckers use radio connection and always keep each other informed. There is no community like that for usual drivers.
© Eugeniy Nikolskiy, 10.2013. v.2.0
There is no any mobile application on the market, that have all drivers needed features
We decided to create it!Meet RoadAR
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© Eugeniy Nikolskiy, 10.2013. v.2.0 8
DVR
Recording video with short fragments Fragment is marked as “not to delete” when system gets signal from accelerometer (in case of car accident or road bump). Other fragments could be deleted when memory is full.
GPS refinement via video analyzing We are going to make GPS tracks more accurate using visual odometry and data from sensors of modern smartphone (accelerometer, compass, gyroscope).
© Eugeniy Nikolskiy, 10.2013. v.2.0 9
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!
© Eugeniy Nikolskiy, 10.2013. v.2.0
Example of the road sign coordinates detectionCalculated road sign’s
coordsA 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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© Eugeniy Nikolskiy, 10.2013. v.2.0
Automatic map creationWhy do we need this?
Automatic map creationMap is going to be very accurate (mapping is based on the exact tracks).
Automatic road signs recognition and placing to the map Also buildings and other objects.
Roads quality mapDetecting cracks, potholes and bumps with accelerometer
Gathering BIG DATA Users routes, billboards images, gas stations prices etc.
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© Eugeniy Nikolskiy, 10.2013. v.2.0
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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© Eugeniy Nikolskiy, 10.2013. v.2.0
RadioUsers 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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© Eugeniy Nikolskiy, 10.2013. v.2.0
RadioExchange 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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© Eugeniy Nikolskiy, 10.2013. v.2.0
Draft interface
Highlighted road signs restrictions
POI highlighted exactly on the video
stream
Mini-map
Augmented Reality navigation
Recognized signs
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© Eugeniy Nikolskiy, 10.2013. v.2.0
Monetization Processing the video from thousands of smartphoneswe 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 the people movements by their tracks, we will be able to become a platform for geo-targeted advertising for local businesses.
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© Eugeniy Nikolskiy, 10.2013. v.2.0
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.
2012 2013 2014 2015 20160
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30 Mobile advertising market
billion $
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© Eugeniy Nikolskiy, 10.2013. v.2.0
Competitors RoadAR Wikitude Layar Sygic Waze Navitel Yandex Zello AlterGeo Talkbits
Voice messaging Text messaging Navigation
Up-to-date maps AR
Geo-targeted advertising Audio advertising AR-navigation
Target audience - drivers
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© Eugeniy Nikolskiy, 10.2013. v.2.0
Team1. 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. Sayid Kadyrov. UI/UX designer.6. Alexander Cherkasov. Visual odometry.
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© Eugeniy Nikolskiy, 10.2013. v.2.0
Nikolskiy Eugeniy e-mail: [email protected] tel: +7 927 670 24 94 facebook: fb.com/nikolskiy.eugeniy
Thank you for attention!
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