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Table of Contents
Business Plan - Autonomous Vehicles
Best laid plans of mice and men are destine to go awry.
High Concept
To create TrueAI that equals or surpasses human level intelligence. Once accomplished, use this technology to automate all jobs.
Idea
One must climb a ladder to reach great heights. Leveraging the TrueAI algorithm, that I have created, work to tackle the autonomous vehicles market along with the transport and shipping industries.
Features
- continuous learning
- less data to learn
- faster execution
- flexible for real world applications
Target Hardware Platform
A computer that can fit inside a vehicle without taking up much space. This computer must have interfaces that can connect to the vehicle's control systems. This computer must be rugged enough to handle the harsh environment of a vehicle. This computer also needs a large amount of memory along with a high cpu thread count. With an estimated target price of $1,300
Target Market
autonomous vehicles market along with the transport and shipping industries. Customer's of daily driven cars would rather use that time to work or read. Along with companies struggling to fill the gap of 20% in the transportation industry. These jobs could be filled by autonomous vehicles. The other benefit of autonomous vehicles, once safety certified, would significantly reduce vehicle accidents along with minimizing traffic congestion.
Autonomous vehicles
This is the potential revenue if I were to sell my autonomous vehicles platform to various vehicle manufactures. In reality it may be around 20% of one companies volume. So minimum revenue would be around $629,336,760 per year
| Manufacturer | total sold in 2017 | potential revenue |
| Toyota | 10,466,051 | $27,211,732,600 |
| Volkswagen Group | 10,382,334 | $26,994,068,400 |
| Hyundai / Kia | 7,218,391 | $18,767,816,600 |
| General Motors | 6,856,880 | $17,827,888,000 |
| Ford | 6,386,818 | $16,605,726,800 |
| Nissan | 5,769,277 | $15,000,120,200 |
| Honda | 5,235,842 | $13,613,189,200 |
| Renault | 4,153,589 | $10,799,331,400 |
| Daimler | 2,549,142 | $6,627,769,200 |
| BMW | 2,505,741 | $6,514,926,600 |
| Mazda | 1,607,602 | $4,179,765,200 |
| Mitsubishi | 1,210,263 | $3,146,683,800 |
Transportation
The trucking industry has around 15,500,000 trucks with equates to $40,300,000,000 in potential revenue. This does not take into account that there is a 20% need for more trucks. Also, this industry should have a Service Level Agreement plan.
Other potential areas within this industry is trains, planes, and boats.
Shipping
May want to structure a Service Level Agreement instead of just a product purchase.
| company | vehicles | potential revenue |
| Fedex | 85,000 | $221,000,000 |
| UPS | 123,000 | $319,800,000 |
| USPS | 140,000 | $364,000,000 |
| Uber | 2,000,000 | $5,200,000,000 |
| lyft | 1,400,000 | $3,640,000,000 |
Target Market Segment Strategy
This is to identify what the underlying message will be and how it will be conveyed to the target market.
Estimated Schedule and Budget
Timeline
This is a running accumulation of costs.
- year 1 - build proof of concept - $100,000
- year 2 - build working prototype in simulation - $500,000
- year 3 - build real world working prototype - $3,000,000
- year 4/5 - hire a business developer and connect with potential vehicle manufacturers - $6,000,000
- year 6 - generating revenue from sales to vehicle manufactuerers, start targeting shipping and transportation
- year 7 - start targeting other markets
Annual Operating Costs
this is anywhere between $200,000 and $500,000
Other costs
Considering building a workshop and test track to build and test the autonomous vehicles.
The Team
- Jeff McCartney, CTO, Founder
- Hire a business developer
- Hire a financial manager
Competitive Analysis
A lot of companies are trying to solve this problem. Volvo, Waymo, Mercedes-Benz, BMW, NVidia, Continental, 0xbotica, Addison Lee, Huawei, Toyota, Baidu, GM, Ford, Stagecoach, Samsung, VW, Uber, Fiat, Apple, Intel, Audi, nuTonomy, Bosch, Tesla, FiveAI
But they have been at it for years, since 2007, and they are all using some variation on Neural Networks.
But this is the hard data on the progress that they are making - Number of Disengagements
Risk Analysis
There is a huge risk. My algorithm has yet to be tested. It is at a very early stage and has yet to be proven to work in the areas that it is claimed to function within. Also, there is no real world comparison between it and the competition, so is it really better? But I will work through issues that arise and with shift direction when needed to overcome these unknowns.
Another concern is that the competition may indeed succeed at creating a solution in the development time of this project. They are currently projecting that they will have solutions within 3 to 4 years. But, my algorithm may prove to create a better product. The first one out the door is rarely the successful company.
Summary
TrueAI is my life's work and I will solve it at all costs. Autonomous vehicles is a great proving ground and has potential to generate enough revenue to continue pursing the full vision of my work.
Visualizations
tesla's idea of a great solution for autonomous vehicles - TESLA AUTOPILOT FAILS and Crashes (2019)
When a neural network fails in a simulation, it's not a big deal. but when it fails in real life, people die.
