There was a time when the idea of cars that were driven autonomously or in the absence of a driver was limited to science fiction books or movies.
However, the introduction of artificial intelligence has turned this fiction into reality. As the major manufacturers join the race to build advanced autonomous cars, that day is not far when self-driving cars will become a common notion globally.
The artificial intelligence solutions in self-driving cars not only make these cars efficient technically but also ensure the safety of pedestrians while navigating amid the bustling city streets.
The latest innovation has opened the doors for a future where there will be a seamless ride for all commuters as the technology will enable self-driving cars to make informed decisions and navigate complex traffic situations.
In this comprehensive blog, we will further explore the enhanced role of artificial intelligence in self-driving cars and how this futuristic technology is reshaping the automotive industry.
What Role Does Artificial Intelligence Play in Self-Driving Cars?
Artificial intelligence has facilitated advancements in autonomous cars by becoming a driving force behind the technological marvel. The point below further mentions how AI has enabled autonomous vehicles to excel in several key areas:
Car Control
The question of security arises when one hears the concept of a car being driven on its own. This is where artificial intelligence comes into play as it monitors the environment of the car and guides the system throughout the route without human intervention.
Data Gathering
If you are wondering how exactly self-driving cars work, it should be noted that they rely on a suite of sensors to gather data about their surroundings. This data emerged in the form of radar signals, and images from the cameras, and the lidar readings are extremely complex.
Identifying Car’s Position
Knowing the exact location of the car is extremely important and self-driving cars are no exception. The AI in self-driving cars fuses data from various sources, including GPS, cameras, and IMUs, to determine the precise location of the autonomous car and its orientation in real time.
For Route Planning
It is important that self-driving cars plan their routes accordingly while taking into consideration the road conditions, traffic patterns, or any unexpected events that might have occurred. The AI algorithms in autonomous cars help in analyzing real-time traffic data, map information, and weather updates to guide towards the route that is safe and efficient for the commuter.
How AI Helps Self-Driving Cars See?
To operate safely and without any human intervention, self-driving cars must be able to perceive their nearby vehciles, surrounding objects, and other things that the human driver would take into account.
Find out how self-driving cars can see and what techniques enable them to replicate human vision:
LIDAR (Light Imaging Detection and Ranging)
LIDAR is a sensor technology that plays a significant role in the navigation and perception capabilities of self-driving cars. The technology operates by emitting laser pulses and measuring the time it takes for the reflected light to return. It lets the car create a detailed 3D map of its surroundings.
RADAR (Radio Detection and Ranging)
RADAR technology has been used in the cars for many years. It informs about adaptive cruise control and automatic emergency braking.
However, with the integration of AI in self-driving cars, this technology has also advanced. RADAR in autonomous vehicles enables cars to see objects hundreds of yards in the distance while also detecting their size and speeds.
Cameras
Camera technology is used by autonomous vehicles to see in high resolution as they are used to read road signs and markings. Cameras facilitated by advanced AI solutions can provide the best way to get an accurate view of a vehicle’s surroundings by offering the highest-resolution images.
Potential Benefits Offered by AI in Self-Driving Cars
Incorporating artificial intelligence in self-driving cars not only offers a more convenient and independent way to commute but benefits the vehicles in multiple ways. Some of the advantages are mentioned below:
Helps Reduce Trafic Congestion
The integration of artificial intelligence in self-driving cars helps in guiding the speed of the cars to further help the vehicles run at a consistent speed to avoid any form of traffic congestion and enhance efficiency.
Enhances Safety
AI-enabled self-driving cars can help in enhancing the safety of commuters and those on the roads. The advanced sensors and AI algorithms help the vehicles in detecting the potential danger and respond accurately.
Increases Efficiency
Artificial intelligence in self-driving cars enables vehicles to operate more efficiently by braking and routing to reduce fuel consumption. By encouraging eco-friendly strategies, the technology contributes towards reduced greenhouse gas emissions.
Makes Transportation Accessible
AI in autonomous vehicles helps in making transportation more accessible to those who cannot drive, including the elderly and people with disabilities.
Final Words
The future of artificial intelligence in self-driving cars is bright, with the technology playing an increasingly significant role. As futuristic technology continues to evolve, we can expect these vehicles to become more sophisticated, and capable.
Artificial intelligence will also enable self-driving cars to better understand and respond to different traffic scenarios and will also help in adapting and improving performance over time. It will constantly learn from real-world driving data and will help enhance the car’s performance.
The integration of this advanced technology is no doubt reshaping the automotive industry by creating a more safer, sustainable, and accessible future for all.