The 5 implementations of AI in autonomous driving

AI is being considered as one of the most powerful gifts to humankind from the field of technology. From robots to climate prediction, from map navigation to developments like Siri, AI is being extensively implemented in various fields and it is AI which has made the idea of driverless car come true.

The idea of driverless car was a part of major Hollywood movie script, but some recent developments in the field of AI have shown that soon we will be seeing driverless cars in every corner of the world. The recent developments are a solid indication of completion of the concept of driverless car with only some legal and administrative approvals left on the ‘to do list’ of tasks.

Delivery vehicles

You must be seeing delivery vehicles from your childhood, but now you will be able to see driverless delivery vehicles which will be delivering things with better precision and efficiency. The three big companies in the sector of technology, namely, NVidia, DPDHL and ZF have now teamed up to create the first electric driverless vehicles that will serve the purpose of delivering packages. These driverless vehicles will deliver packages from a central point to the destination.

Automatic taxis

Imagine a situation where you can book a driverless taxi to reach your destination. During your journey, you can watch a movie, listen to your music, and work on your laptop without worrying about the driver safely driving you to your destination. The DRIVE PX AI platform of NVidia is going to guide the fully autonomous vehicles.  It can handle 320 operations per second and is 10 times more superior to its previous version.

Automated parking

The concept of automated parking is not new but the recent development in AI and its implementation in the autonomous driving section has allowed the technology of autonomous parking to improve by a mile. The giant company Bosch has developed a new and smart AI based system which informs you about the available parking spots, location and the exact time to park. The car can even do the parking by itself without any error or accident.

Common sense for cars

One of the biggest hurdles for driverless car is the common sense during driving. Cars can be programmed to drive safely from origin to destination, but reaction to the fellow driver’s attitude, pedestrian behavior and weather condition can make things difficult for automated vehicles. But to solve this problem, iSee, an MIT spinoff, has been working on deep learning and AI to solve this problem and create a common sense for cars.

Peripheral vision for cars

Knowing the objects, blind corners and vehicles around a car is very much important for ensuring safety in a driverless vehicle. But a new AI technology allows the vehicle to understand the distance between vehicles, pedestrians, blind corners. CornerCameras, allows driverless cars to identify people and vehicles in the blind corners of the road.

With these major improvements, those days are not very far when you will be booking a taxi which has no driver and which will drop you to your destination with safety or you might receive a package from a driverless delivery vehicle.

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