Cars will no longer be products but seen as a service, which will improve people’s standard of living and make mobility more efficient
Technology has changed the way humans interact and do a lot of things, and the automotive industry has not only failed to keep up with this trend, but has been completely conquered by the need to integrate into the technological world.
So much so, that the paradigm of the car as a product is beginning to change to become a service, in which people do not have to worry about driving to reach their destination, and can perform a series of activities during their journey, such as consuming various media, working on their devices thanks to the permanent connection to the Internet, and doing all this safely thanks to autonomous driving.
New technologies that we hope to see and use in the near future:
Data processing and fast connections
The various sensors that the new electric and autonomous cars will be equipped with will collect a large amount of data that cannot be processed by the vehicles’ computers, but will have to be sent to much more powerful remote servers that will do the processing and return it to the vehicle, all in milliseconds.
In order for this to happen, wireless connections will be required at ráṕidas which, presumably, will be possible with the implementation of the 5G network worldwide, to be deployed in the next few years.
Autonomous driving and intelligent infrastructure
Autonomous driving will be an extremely difficult computer case, since it will require great processing capacities in real time inside the vehicle, which will also have to communicate with other cars and, as if that were not enough, also with the urban and road infrastructure.
The good thing about this is that part of the processing needed for autonomous driving will be able to be done by remote servers, as well as software and hardware specialized in traffic lights and intelligent signaling, which will have 5G connection and useful information for autonomous driving.
Machine learning for intuitive infotainment
The infotainment system of a vehicle is one of the most important and most used aspects of driving. In order to know which functions are most frequently used, the interaction design, whether tactile or voice, must be optimized, and automatic learning algorithms are an important tool for finding relevant information about the large amount of data available.
Advancing technology will help create models of machine learning so that behavioral data and sensor information can be used to predict user interaction.
Adaptive predictive maintenance
The battery in next-generation vehicles will need constant monitoring to ensure optimum performance. To achieve this, battery monitoring and predictive maintenance is an essential part. The maintenance and charging of the battery depends on dynamic after-market situations: tyre pressure, acceleration, traffic, charging cycles, driving habits, etc.
With advances in technology and communication, it will be possible to keep a continuous record of the behavior of the automotive system to predict possible failures, and schedule visits to the service center.
Smart home and vehicle integration
In the near future, smart home devices will be able to interact with next generation cars to make some tasks easier.
For example, the driver will be able to leave the vehicle parked on the garage ramp, and later, with a simple voice command or from a scheduled task, the car would park itself inside the garage, which would be opened on demand by the car linked to an owner’s account.
Similarly, at a certain time in the morning, the vehicle would ask to open the garage door and wait for its driver at the ramp, ready to go.