Инновационный центр Самоцвет, Николай Самоцвет
TRANSCRIPT
HEADCOLLISIONPREVENTIONSYSTEM NIKOLAI SAMOTCVET
WINNER OF REGIONAL SKOLKOVO FOUNDATION
COMPETITION ITCHERNOZEMIE
"THE BEST INNOVATIVE PROJECT OF CENTRAL CHERNOZEM REGION"
PHONE NUMBER: +7 951 8718704
CONTACT EMAIL: CSIR.NTC.REB GMAIL.COM
Business Summary: • "Innovative Center Jewel" ("IC Jewel") is a Skolkovo IT company, creator of a revolutionary "Jewel Head-Collision Prevention System" (JHCPS), for a long range preventative detection, that enables self-driving car to "see" up to 2,000 meters ahead under any visibility and weather conditions. • Self-driving cars are no longer a futuristic idea. Companies like Google, Mercedes, BMW, Tesla, Toyota have already released, companies like Apple, Uber and Qualcoom are soon to release, and giants like GM, Kamaz and Tata announced plans for self-driving features that give the car ability to drive itself. • "IC Jewel" developed a proof-of-concept functional prototype of JHPC automotive radar system designed to become an OEM portable long-range radar for a car driven on common roads in any weather, in high/low speed traffic and with a projected wholesale price at around $3,000.
34%
15%
9%17%
25%
PROBLEM
MORE THEN 80% OF RUSSIAN ROADS ARE TWOLANE ROADWAYS
MORE THEN 200 000 CAR ACCIDENTS IN 2014
Distracted Driving(34%)
Drunk Driving (25% );
Speeding (17%);
UNSAFE OVERTAKING (15%);
Other (9%);
CAR ACCIDENT STATISTICS
Customer Problem: • Google's and other self-driving cars are blind at distances over 300m. It takes 11 seconds for a car moving at 100 km/h (27,7 m/s) to pass 300m. Another car approaching head-on at the same speed leaves just about 5 seconds for an AI to analyze the dynamic situation and respond precisely to avoid collision. System fails if more than three moving objects need attention. Existing legislative speed restriction of 40 km/h is a direct consequence of this. • Long range lidars, used by Google-cars, are expensive ($70.000). Yet with all their impressive short/mid range capabilities get partially blind in snowfall, dusty road and light rain and completely blind in smoke, fog, hail and heavy showers. Google drives its cars in CA because state experiences historic drought. • Road crashes cost USD $518 billion globally, costing individual countries from 1-2% of their annual GDP.
Product/Services: JHCPS: automotive radar system for long range preventive detection: • Radar wholesale is about $3,000, its EIRP = -10dBWt (the resolved noise immunity for licensing and certification);
• JHCPS can be used for direct integration into existing ADAS systems and AI upgrade;
• JHCPS determines the speed of oncoming objects (up to 360 km/h), distance to them (up to 2,000 meters) and relative trajectory. All in any weather conditions;
• JHCPS can potentially be installed behind the car grille on any car.
Free space analysis up to 2000 meters in front of the vehicle.Detection of approaching vehicles on the speeds of up to 360 km /h.
TECHNOLOGY
TECHNOLOGY
Free space analysis: up to 2 km in front of the vehicle using directonal RLS.
Compatibility and simple integration into existing systems of actve safety and driver support.
3600 of obstacle detection with 6 radar sensors
Up to 5 METERS in the side zones;
Up to 20 METERS in the rear zone;
Up to 2000 METERS in the front area.
MONITORING OF FREE SPACE AROUND THE CAR IN THE DISTANCE:
TECHNOLOGY
PLACEMENT OPTIONS FOR RADAR ANTENNA MODULES ON THE DEMONSTRATION UNIT:
Long-range radar sensors
Short-range ultrasonic sensors
Addional moduleOpon 1Opon 2
Target Market: • Semi-autonomous: 50+m cars by 2020. Today's premium cars car have features that allow them to accelerate, brake, and steer a car's course with limited or no driver interaction. JHCPS would enable the car to avoid head-on collision and prevent deaths. • Fully-autonomous: 10+m cars by 2020. A fully autonomous vehicle can drive from point A to point B and encounter the entire range of on-road scenarios without needing any interaction from the driver. JHCPS would act as a key component for long range car awareness, allowing AI to detect, follow and take action on numerous moving road objects 2,000m ahead. • Primary markets: USA, Canada, EU, Japan, Singapore, Korea, Australia • Costs (World): $7 b/year in direct ADAS costs; $122 b/year in indirect car options costs.
TEAM
Web: http://sk.ru/net/1121073/ Management: Nikolai Samotcvet, CEO Alex Kosik, VP Strategy Sergey Panychev, Chief Scientific Officer Yevgeni Koucheryavy, CTO
Contact Info: Email: [email protected] Phone: +7 (951) 871-87-04 +1-571-338-0332