By Ilan Levy

Computer vision has been perfected to impressive levels of detection capability,and allow autonomous driving systems to detect details admirably. 

And in their combination with other systems installed in the vehicle, it is possible to drive an autonomous vehicle successfully to a certain degree.

But from time to time, we hear about fatal accidents like the horrific mishap that killed two occupants of a Tesla autonomous vehicle. 

Existing systems rely entirely on their ability to see.

A large vehicle ahead, trees, or other objects in front of the turns may interfere with calculating the correct speed for the maneuver.

To understand the problem, it is necessary to distinguish between the accidents that occur between the autonomous vehicle and other road users, and the self-accidents that result from the discrepancy between the topographic structure of the road and the vehicle's performance capabilities, which are limited by its dimensions, the load it carries, the slope of the road, and other factors. In order to maneuver at the right speed in curves, there are parameters that are currently not taken into account by developers of autonomous vehicles and must be calculated precisely.

M-Adas's Solution 

Our approach to solving the problem is to add an independent system that is not limited by visibility and that works accurately even when the cameras and sensors cannot detect the topographical challenges of the road.

M-Adas already know the whole world, we do not need visual equipment, we just need to know where you are.

The whole idea behind transportation is to move goods and people from place to place safely and quickly.

Man has always been looking for ways to get to his destination faster. 

Driving slowly is not a solution because it contradicts the idea of moving as fast as possible. 

In order to accurately adjust changing speeds ,while driving, and to determine the correct speed in each road section, in a way that shortens the transportation time of people and goods, and increases speed.

For improving safety, it is necessary to combine several fields of science: Mathematics, Physics, Chemistry, Earth and Related Environmental Sciences, Computer and Information Sciences, Mechanical Engineering, Artificial Intelligence (AI) and Machine Learning.