Main challenges for self-driving car manufacturers

nvidia-self-driving-technology-readyThe initial goal of self-driving car manufacturers is clear. Reducing the rate of accidents and traffic jam.

The sensor-based solutions, in fact, intervene where human error is more likely (very low speeds and very high speeds, that is to say in urban traffic and on long motorway stretches) and prevent based on data derived from the outside by means of video cameras , radar and other such tools. These systems, integrating with those connectivity-based (real-time communication between vehicle and vehicle, V2V, and between vehicle and infrastructure, V2I) positively revolutionize the security and road mobility in our congested cities by car, where the accident rate is reduced.
Where’s the catch? According to KPMG there are a couple of issues to be solved:

a) Gaining the trust of consumers. Like every revolutionary technology, even this, however efficient and thrifty, it needs time to digest and a real mental restructuring by end users. All the more because you do not mess with security: these technologies will border on perfection. 

b) Deal with the real car lovers. For those who like to drive in the car and sees the realization of their personal identity, the autonomous driving could not be accepted with much enthusiasm. 

c) The mass production. Even the automakers should completely revolutionize the way they approached the market and find new strategies to assert their competitiveness, signaling its added value. Before you can do that, you need to define the standards, create automation in production and sales, reducing costs to offer a true mass product. 

d) The legal problems. If there is not a driver, and therefore a natural person responsible for the behavior of the vehicle, what happens if that claim? It is clear that insurance companies should completely redesign the reference framework on which they are used to operating.

According to the hypothetical timeline outlined by KPMG, the first vehicles with V2V / V2I technologies could be launched from 2018, while a sufficiently deep penetration and integration of these systems into the market, such as to see the first autonomous driving applications , will not occur before ten years.