Did you know that the driverless car industry is expected to reach a value of more than $11 billion by the time 2028 rolls around?
While these types of cars aren’t as common as vehicles with human drivers, there will come a time when the reverse is true. The technology behind autonomous cars is as impressive as it is complicated. One thing that makes the biggest difference is the use of artificial intelligence.
Are you wondering how it’s incorporated? Keep reading to learn all about 3 ways AI models are used in autonomous vehicles.
1. Safety Sensors
When it comes to autonomous vehicles, obeying traffic laws is only the tip of the iceberg. There are many random elements associated with driving that human drivers take for granted because they’re handled instinctively.
Since an autonomous vehicle doesn’t have instincts, it’s crucial to equip each side of the car with safety sensors. These can allow the vehicle to react and avoid accidents by breaking on time, changing lanes, and more. This has reduced accidents to almost zero.
It’s accomplished using three main types of sensors, including cameras, radar sensors, and state-of-the-art technology known as LiDAR. When working with autonomous vehicle companies, make sure they have these sensors inside each vehicle.
2. Faster Routes
If fully autonomous vehicles are going to be successful when delivering food or traveling cross-country with precious cargo, they’ll need to take the fastest routes. Instead of sticking to a handful of memorized routes, an autonomous vehicle can use its AI capabilities to decide on the best route to take.
The most effective AI generative models will take into account traffic, weather, potential roadwork, and even lesser-known shortcuts.
Sometimes traffic is unavoidable. Instead of being unable to handle it, the right AI-powered vehicle can assess the situation and do its best to get out of a traffic jam without endangering anyone.
3. Communication With Other Vehicles and Drivers
If a fully autonomous vehicle can’t communicate with other vehicles and drivers, then the likelihood of an accident increases. This is why companies are continuing to improve this facet of AI.
As of now, there are autonomous vehicles that can communicate with other drivers, such as telling them that they should go ahead as the vehicle yields. If you’ve ever been at a four-way stop with everyone acting skittish about going next, then you’ll know how useful this type of communication can be.
If you want to learn more, check it out.
Ready to Use AI Models With Autonomous Vehicles?
Now that you’ve learned all about 3 ways AI models are used in autonomous vehicles, you can incorporate them into your growing fleet. By staying up to date with the latest technology, there’s no way you can’t grow your brand and leave your competition far behind.
The world of technology is endlessly fascinating. Since there are so many developments to keep track of, you should bookmark our site. That way, you’ll never miss out on fresh content that can end up revolutionizing your business like never before.
