Ford is one of
the manufacturers that are betting on the development of new technologies
and driving systems autonomous that they can be carried in a not too distant future
to production vehicles. It has already been three years since the first Ford Fusion Hybrid equipped with technology
driving autonomous cast them to roll down the roads of the United
States. Recall that the Fusion is marketed in Europe as the Ford Mondeo.
In the past three years, Ford has worked to develop new technologies and new driving systems autonomous.
During all these years, Ford has been collecting important information and data from the numerous tests and kilometers driven in real-world environments with its fleet of prototypes of autonomous cars. It is for this reason that now, the mark of the blue oval presents its new generation of prototypes of autonomous vehicles. Using as a basis the platform of the previous prototypes, has a built-in new computer hardware that allows a greater capacity of data processing.
Ford wants to launch its first autonomous car in 2021
The u.s. company points out that the electronic controls are approaching a standard of production and the settings of the sensors, including the location, allow the car to enhance your vision on what surrounds him. Now the prototypes of autonomous cars of Ford are equipped with new sensors LIDAR, which have a design more fluid and a field of vision adjusted. Thanks to this you can reduce the number of sensors employed only two. The previous prototypes had four.
Ford points out that there are two main elements to creating an autonomous car: platform and the system “driver virtual“. This new generation of the prototype of autonomous vehicle progresses in both fields.
Ford uses a fleet of Fusion Hybrid (Mondeo in Europe) as the basis for the creation of their prototypes of autonomous cars.
The system “driver-virtual” in that you are working on Ford is composed by the following elements:
- Sensors – LIDAR, cameras, and radar
- Algorithms for localization and path selection
- Vision computerized and learning
- 3D Maps, high-definition
The system is able to take decisions and choose the best option depending on each situation. But, how do you perceive the autonomous vehicle from Ford that is around him? In this case, the engineers of the manufacturer in the united states work in two methods of perception for the “driver” virtual: perception treated and direct perception.
So they built the new prototypes of autonomous cars from Ford.
let’s Move on to detail each one of them:
- Perception treated. Requires the generation of 3D maps of high resolution of the environment of the car. Thanks to them, the vehicle can know the status of stop signs, pedestrian crossings, traffic lights and other static elements. Once underway, enters in action his LIDAR, radar and camera sensors to scan permanently the environment surrounding the vehicle.
- direct Perception. For this, we use sensors to know what elements there are on the road as well as moving objects, pedestrians, cyclists or other vehicles. These sensors are capable of reading traffic signs.
On an aesthetic level, the prototypes of autonomous cars of Ford differ from the Fusion Hybrid conventional by the various sensors and cameras mounted. On the whole, all of these elements proportional to the vehicle a 360-degree view. All the data are fed to the “brain” and the information is compared with the 3D map and other elements of vision computerized.
Ford wants to launch their first autonomous car by the year 2021.
This new car development at Ford goal of providing an autonomous car production by the year 2021. For 2017, the year that is about to start, Ford will start testing autonomous cars also european roads.