The least we can say is that the majority of location systems used today are subject to a few hiccups. We’ve all experienced problems due to traffic jams, bad weather conditions or times when we found ourselves in fairly complex urban environments, thank you.
Published yesterday at 11:45 a.m.
However, at a time when the automobile industry is resolutely oriented towards autonomous driving, it is clear that geolocation technology must be refined. User safety is at stake.
It is with this in mind that the company Autobrains Technologies, already recognized as a world leader in the field of automotive solutions based on artificial intelligence, is offering its most recent innovation, called Air2Road.
The firm wants to offer a localization system that merges both aerial images and terrestrial images, a combination that would prove to be a winner in providing road users with reliable and precise data, argues the company.
With the new Liquid AI technology, the driver could view the road fleet in real time, could know the road conditions that await him, gauge the traffic conditions on his route, and even observe the parking areas that he could possibly use.
Basically, the Air2Road system was developed to increase the capabilities of advanced driver assistance systems (ADAS) and to optimize autonomous driving solutions. With its technology, the company now claims that it can now guarantee precise vehicle location, in real time.
To appreciate this novelty, you should know that traditional positioning systems rely largely on global navigation satellite systems or on maps that come from the public. As a result, they too often find themselves facing significant challenges. Limited coverage, sensitivity to interference, fairly high costs, the problems are very present.
The time factor should not be underestimated either. Before a public map is reliable and can be available for any vehicle, a fleet of vehicles must cross roads several times to collect reliable data.
In contrast, Air2Road allows the first vehicle on the road to obtain a precise location instantly, without compromising accuracy.
Furthermore, another difficulty worthy of mention is that as traditional systems rely on a single source of information and this is based on sensors, the road user risks finding himself more often than not with errors. Finding yourself dependent on only one type of information while driving is certainly not ideal. In the proposed new technology, the combination of ground images and aerial images will be beneficial.
Unrivaled precision
With this Air2Road innovation, the road user could see a change and be entitled to still unrivaled precision. In the press release announcing its novelty, the firm promises to push the limits in terms of navigation and vehicle safety. For autonomous systems, this is a guarantee of reliability that will be welcome, in all conditions, even the most difficult.
Unlike traditional systems, the company promises that its technology will be effective even when the vehicle faces significant obstacles. When the vehicle finds itself under trees or under bridges, for example, or between two buildings. In short, in any scenario which caused poor signal reception with previous technologies, and which generated problems for motorists.
Technology also benefits greatly from aerial images and the additional information generated there. On this subject, the company cites, for example, road markings, traffic signs and obstacles, all new data which will allow road users to make safer and more informed decisions.
Another advantage of the technology is that these aerial images come from multiple providers and are affordable. This technology also makes it possible to store data from very large areas. This means that a low memory and low bandwidth system can be suitable, without the user depending on constant connectivity.
The company argues that its new technology is inspired by the human brain and its ability to process multi-sensory information. Air2Road would reproduce the brain’s ability to perceive a situation, focus attention on the essential and filter irrelevant data, valuable mechanisms when the time comes to make decisions.
This is in short why the technology is presented as an interesting advance to counter current problems in the field of navigation. And when we look at the work as a whole, let’s admit that for the moment, there are still many…
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