By Ilan Levy

What I believe 

By Ilan Levy, Founder & CEO of M-Adas, cybernetics speed planning calculator. As a person who believes in science, an entrepreneur, an inventor, and has some understanding in the field of mathematics, I know that every problem for which a mathematical formula can be created has a solution. And if the solution to a mathematical problem is complicated, it should be broken down into the smallest and simplest formulas possible.

BIG DATA and SMALL DATA contain the same number of mistakes, especially due to the impact of the corona virus on information in recent years. AI that is made up of the same incorrect data, was the source of inspiration of many horror movies where the machines have decided that humans are unnecessary. We cannot compare human beings for the same reason that we cannot compare our children, and especially not establish a constitution that is based on and contains many human errors. M-Adas's Cybernetics, a subjective approach (VS A.I.) that uses to prevent humans and autonomous decision-making system, to make mistakes in the speed planning. First customers are enjoying the benefits of M-Adas system and drive more safely and economically as part of an agreement with liquid carrier truck fleets in about 50 countries. M-Adas is the only solution that knows how to adapt the movement speed of vehicles, to the spatial geometry at any speed even at hundreds of kilometers per hour and responds well on a practical level, adapting the speed to the vehicle, its cargo and the user's characteristics. The system knows how to take advantage of the unique natural deceleration on every slope, gradients and leaves a sufficient margin of safety to react to surprise. We (3-fonders) have just started the commercial phase, vehicles with M-Adas systems are already driving on the roads, the funding will be used to increase the speed of deliveries to approximately 150 thousand customers in a signed agreement. 

Computer vision out, knowledge is the new king. 

Computer vision mimics the faulty human eye and is not reliable enough. Even if you use expensive beam transmitters like radar and lidar. Since you know how to navigate to the kitchen in the middle of the night without turning on the lights, and in areas designated for autonomous traffic, all road users are shown in real time with no surprises, there is no need for computer vision for navigation purposes.

Mathematical simplicity 

With the help of simple mathematics it is possible to plan the entire movement of people and goods in autonomous space without the need for traffic signs, traffic lights, traffic circles or other traffic laws. Only by the laws of mathematics the movement in space is perfect and smooth, even if we will start to move in additional dimensions like "flying cars", it will be necessary to create virtual roads in the air space, and mathematics will know how to do it better than any expensive technology that requires the development of unnecessary devices.

The future of autonomous movements of people and goods 

The relevant omissions of analysis/driving monitoring companies, and a complete loss of the investments in them is inevitable. If they stand up to what the laws of evolution have taught us, that not the strong or the wise survive, but those that knew how to adapt the essence of their existence to the changing of environmental variables or in this case, autonomous movement. Since it a well-known fact that two types of "thought-processes" cannot exist in the same space without creating conflicts. Simply saying, human and autonomous driving will fail to use the same space, just as horses and cars on the same roads have caused many accidents. In the first phase, autonomous transportation will only be possible in areas where all road users are monitored by the same decision-making system. It will not be possible to enter the autonomous complexes for road users that are not presented in the traffic considerations. Autonomous vehicles will be better utilized and reduce traffic congestion. The length of the sidewalks will no longer be used for parking vehicles, these will be designated for micro mobility, bicycles, vehicles intended for the elderly and disabled. The land resources will be used for commercial, residential or community use and not just for storing vehicles. Owners of self-driving vehicles could use the areas outside the autonomous complex in order to park their vehicle and continue to their destination in micro mobility vehicles, free public transportation or autonomous taxi. Human-driven vehicles of authorized service providers will appear in the matrix of road users and will be considered as having priority over the autonomous decision-making. 

the preferred autonomous space 

Contrary to popular belief that autonomous driving is an easier target in intercity traffic than on highways, autonomous driving on highways has drawbacks: It is difficult to separate main roads from incoming road users whose presence is not updated in real time (animals, pedestrians, etc.). Computer vision can not detect curves and speed at a reasonable distance to adjust for the reaction, the camera range of 100-200 meters, at high speeds do not leave enough reaction time.