It’s no joke when we say that Artificial Intelligence (AI) driven driverless cars are the future. It can be easily seen that in the last decade or so, there has been a big boom in the number of Autonomous Vehicle Technology from various car brands. The forefront in this game have been Tesla, but there are also others like Google Cars, BMW or even Audi. It is said that research on driverless car technology has been going on for the last 45 years.Here We describe How AI Technology Can Help Self Driving Cars
Cars of today use various onboard computer technologies to help them gain awareness of the surroundings and thus help in creating this fleet of self-driving cars. As every day passes by, new improvements are made – and Artificial Intelligence certainly helps in playing a key role here.
Need For Artificial Intelligence
Just like a human being is controlled by his or her brain, similarly, self-driving cars are controlled by it’s specific AI. The car can have various sensors, like – long or short-range radar, ultrasound, LIDAR, cameras – that help the car to know what’s around it. But, these pieces of information are of no use if it is not processed by some main computer and react accordingly. Artificial Intelligence can have various applications, for example :
- When a car is low on fuel, AI can re-direct it towards the nearest Gas Station.
- Adjusting the journey routes according to current traffic conditions, for a quicker journey.
- Introduce Speech Recognition features via which drivers and passengers can interact with the AI.
- Help in Eye Tracking for driver monitoring improvement.
- Various other Virtual Assistance features.
Introduction Of Machine Learning
An AI is a software and it is not possible to code everything into that software by a software engineer. Coding every possible permutation and combination of what the AI and the car will face in everyday driving sessions is just totally impossible. Thus software engineers use Machine Learning to overcome that drawback.
Software Engineers code thousands of “If-Then” programs and statements that will help create an algorithm, which in turn will help the onboard AI to know what is right, wrong, unsafe or even safe to perform by the car. This approach may seem more tedious, but this is the only solution that can be used in a public car on roads these days.
The one advantage that AI and self-driving technology have a human driver, is the ability to talk among other AI cars and share the experiences between them. This will help in greatly increasing adaptation for the cars on the public roads.
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Artificial Intelligence For Better Driverless Cars
Driverless or self-driving cars are radically changing and evolving day after day, with unimaginable capabilities. But the only way that can be realistically implemented if Machine Learning and Artificial Intelligence are also improved and made better.
The future of self-driving cars will always depend on AI, and that’s the reason why there should be a better implementation of the learning algorithm and make it standardised across all the self-driving cars. This will make them not only more accurate but also more adept at taking faster decisions.
Self-driving cars were once considered to be dreams and the technology was clearly non-existent and was hard to pull off as an everyday use technology for the normal consumers. But since then, the advancement has been leaps and bound, and the awareness has been increased so much, that almost every consumer out there wants to get an in-hand experience of such a revolutionary technology.
This will not have been possible if there was no AI and Machine Learning, and these two factors have single-handedly saved the future of driverless cars and changed the mindset of a normal consumer. As for the future, it will only get better and better.