The role of AI in mobility is still emerging, but it already collaborates in its implementation in automatic cars and drones.
AI applications to mobility are truly promising, even though they are still emerging, barely taking their first steps into the implementation of autonomous vehicles across cities.
Our expert Raúl Rojas believes that the future–already present–of transportation will be mobile phones. But before the deployment of the autonomous car we will see the development of the technological copilot, such as curve stability programs on highways.
Autonomous vehicle designers and manufacturers have complex challenges ahead of them, particularly in the development of autonomous vehicles that have all sorts of sensors, cameras and radars. the situation changes when AI is used in a context in which the autonomous car is surrounded by other cars with human drivers. That is why they’ve started to develop what they call “swarm behavior”, which entails not only checking the map and the sensors, but also the behavior of the rest of the drivers in order to adapt to it.
These problems are ground-related, but there are different challenges for sea and air mobility. We see an increasing number of drones, different types with different functions, ranging from rescue to the transportation of goods and all kinds of products. All these applications are already here, and they would not be possible without AI and big data. Notwithstanding, its large-scale implementation and deployment will still take a few more years.