Whenever we come out of our homes and set our foot on the road, a very common object we regularly come across is cars. Even if you are stuck in traffic there are thousands of cars both behind you and in front of you. Most of these cars have drivers who are doing their job dedicatedly.
However, self-driven cars don’t necessarily require you to drive the car by yourself. That means you don’t need to constantly control your car by holding the steering wheel with your hands or managing the gears and brakes using your feet. You just need to sit and relax while the car automatically takes you to your destination. With this, you can have an idea about the power of artificial intelligence in self-driving cars.
Important features of artificial intelligence-enabled self-driving cars
Although artificial intelligence technology is not exactly new, the technology has not been utilized for commercial purposes until recently. Perhaps the most interesting aspect of artificial intelligence is that it is currently used in self-driving cars which in turn is changing the future of driving.
An AI-enabled GPS navigation system
All self-driving cars have a GPS navigation system along with multiple extraordinary sensors that can help in creating a three-dimensional perception of the surroundings and the environment. Then the data is utilized to measure the distance of the objects, and destination and predict the location of the car in a precise manner at any given time.
Self-driving cars also have laser rangefinders. The laser rangefinders emit lasers and it helps the self-driving cars to picture what kind of environment it is currently in. The laser beams help the car sensor calculate the distance of the surrounding objects by measuring the time taken by a beam to travel to and from any object.
Self-driving cars also have another significant feature which is avoiding obstacles. Every self-driving car has an internal library installed in which the obstacles are classified depending upon their size, shape, and motion.
For example, if a motorcycle is proceeding at a 15 kmph speed in comparison to the usual 40 kmph the self-driving car will consider the motorcycle as a bicycle because the speed is very low. Based on the speed of an object the car will determine what kind of object it is.
Another important feature of a self-driving car is path-planning. This feature makes use of algorithms and creates two types of plans - a long-range plan and a short-range plan. In the long-range plan, the car follows the path to reach destination B from destination A. On the other hand, a short-range plan helps the car determine if the card needs to turn left or continue forward.
The short-range plan is made by determining if the car is capable enough to perform specific tasks. If a path has any kind of obstacle, then the short-range plan will completely remove the path and look for alternative routes. The alternative routes will be appraised depending on the speed and the time it will take to reach the destination. Multiple short-range plans will complete the long-range plans.
Until the self-driving car reaches its destination features like path planning, mapping, and obstacle avoidance all are simultaneously at work.
With the rapid progression in technology, we can certainly say that AI and self-driving cars are the future of transportation. The self-driving cars can certainly decrease the number of accidents which in turn will decrease the volume of traffic caused by the same (saving energy for the future). Moreover, people with special abilities can also use self-driving cars to reach their destination safely.