The JHCPS system can detect obstacles up to 2,000 meters in front of a vehicle in any weather or visibility conditions using radar. It can determine the speed and trajectory of oncoming objects up to 360 km/h away. This long range detection system has the potential to prevent head-on collisions and make self-driving cars safer even in difficult weather. The company aims to produce the system for around $3,000 wholesale to be integrated into active safety and semi-autonomous driving systems.
2. 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.
5. 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.
6.
7. 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.
12. 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.