And so it begins…

The replacement of a human being driving a vehicle for a computational system and adequate tools that allow an autonomous driving is not an idea of this century. A small History context allows one to understand the path since the beginning.

The pioneer event for the AV took place in 1939. The AV was presented at the New York World Fair as a projection of a dream. Norman Geddes, sponsored by General Motors, placed the AV as the vehicle that the world would drive in 20 years28. However, the following years had all efforts on the development of war technology by the biggest car manufacturers.

Only in 1977, Tsukuba University in Japan, built, what it may be considered as the first intelligent robotic vehicle29. With cameras and a motherboard it allowed to detect obstacles and follow lines.

In 1983,  Carnegie Mellon University, in the USA, developed a model, the Terregator30, that used a combination of lasers, radars and cameras to move without human interaction. Three years later, the NavLab31, also manufactured by this university, would have been the first AV to carry people aboard at a maximum speed of 32 km/h.

On the same decade (1980), in Europe, the Bundeswehr München university team developed several projects around the autonomous driving. As a result, in 1994, the team presented a modified S-Class Mercedes-Benz called VaMP, that moved autonomously for more than 1000 km, at a speed of 130 km/h28.

ARGO project32, developed between 1997 and 2001, by Parma university, built a prototype (with image interpretation algorithms) that followed lines painted on a road along 2000 km in six days, with an average speed of 90 km/h with 94% of the time completely autonomous29.

In 2004, DARPA, American defense agency, promoted a challenge to accelerate the development of AV. The participants would have to present a AV that could finish the track created by DARPA. None of the participants finished the challenge that year. The year after, 195 teams participated, Stanford  university won and 5 teams finished the challenge: more than 200 km in Nevada without a driver33. This was a turning point.

The dream is old, but the effort duplicated in the last few years and the investment in R&D for this topic lost limits or barriers. The automotive industry has been pressured by other sectors to develop technology to make this real, specially IT companies that are interested in playing a role in this market.

Let´s start from the beginning

We´re starting to see on social media something about motor vehicles that are able to go from A to B with little or even without any human input. Different names and designations are given to these vehicles and they seem to be able to do different things; some are able to drive distances in constant speeds, others are able to stop if they spot an obstacle and a few are even able to drive with no human inside. To be able to discuss the pros and cons of any subject is important to properly explain what we are talking about.

We see some news about accidents involving autonomous or self-driven vehicles and very few about the investigation in that area or what exactly is the nature of these vehicles. The subject is new and a lot needs to be done to investigate the technology properly, but without general knowledge, this technology will be even harder to implement, because one always get suspicions about the unknown.

SAE International1 provides a standardisation of the terminology for on-road motor vehicle automated Driving Systems. This classification identifies six levels of driving automation from “no automation” to “full automation” and is consistent with current industry practice.

  • Level 0 – No automation – human driver takes control of all aspects of the dynamic driving task;
  • Level 1 – Driver assistance – a driver assistance system of either steering or acceleration/deceleration is used; the human driver perform all remaining aspects of the dynamic driving task;
  • Level 2 – Partial automation – usage of one or more driver assistance systems of both: steering and acceleration/ deceleration; the human driver does everything else;
  • Level 3 – Conditional automation – an automated driving system drives by itself but the human driver will respond appropriately to a request to intervene;
  • Level 4 – High automation – the driving mode is performed by an automated driving system, even if a human driver does not respond appropriately to a request to intervene;
  • Level 5 – Full automation – full-time vehicle´s performance is controlled by an automated driving system.

Click in the image to open the original SAE table.

SAE automation level