Artificial intelligence is the core driving force behind the progressive revolution in various industries. Luckily, the automobile industry is one of those AI-impacted industries. It must be noted that AI and automobiles have had a deep connection for a long time, even before the creation of this advanced technology, AI.
Throughout history, scientists and vehicle engineers have put effort into creating a travelling masterpiece that can reduce travel time and offer a hassle-free experience. They have designed numerous effective and stunning vehicles to pursue this aim. However, self-driving or autonomous vehicles are the most revolutionary development connecting AI and automobiles.
As clear by its name, self-driving cars have a super-intellect somewhat identical to humans, making them effective for road travel without any issues. Though the levels of autonomy vary, self-driving cars are an extraordinary innovation.
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Artificial Intelligence in Autonomous Vehicles
AI is a top-notch technological advancement that facilitates every walk of life. It has taken the vehicle and driving industry to the next level of accuracy and efficiency. Using AI and other machine-based techniques in automobiles has changed how we experience travelling.
We have vehicles equipped with modern-day technologies that use algorithms to observe their surroundings and complete their journey. This way, we have benefitted extensively from autonomous vehicles. For instance, the number of road accidents decreased massively with the rise of autonomous vehicles.
Moreover, self-driving cars have in-built navigation systems that can communicate with other running vehicles on the road, making it easier to control traffic. Thus, it can weaken the intensity of traffic-related complications. This innovation became possible only due to artificial intelligence.
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AI Technologies Integrated with Self-Driving Cars
Many advanced technologies led to the effectiveness of self-driving cars. You must know about these technologies to bridge the gap between AI and automobiles. In addition, AI contributed to developing eco-friendly cars, such as electric and hybrid motorcars and trucks.
Let’s study the different techniques that enabled the success of autonomous automobiles.
#1. Sensing and Perception
Firstly, self-driving cars use sensors to observe anything found in their surroundings. The sensors involve cameras, radar, and high-quality sound-based sensors. Thus, self-driving cars collect enough data about their surroundings.
Furthermore, they have an AI system that uses algorithms to predict their behaviour. This prediction system is valuable in the decision-making process of self-driving cars. They decide their route, speed, and gear shift based on their surrounding materials.
Lastly, Natural Language Processing (NLP) is another essential technique that helps AI to perform effectively. NLP’s voice recognition power helps these cars perceive the data about pedestrians and other materials. Hence, self-driving cars act accordingly to avoid any harmful event.
#2. Deep Learning Technology
Machine Learning (ML) is another essential way of autonomous vehicle operation. Simply put, ML develops and advances the intellect of a self-driving machine while it is on the road. It does so by collecting and processing the data to feed the machine’s intelligence.
However, self-driving cars use a high-quality type of ML known as Deep Learning (DL). DL is responsible for the effective prediction model of an auto-driving car. It also improves its road driving accuracy, helping it avoid accidents.
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#3. GDDR6 in Autonomous Vehicles
GDDR6 stands for Graphics Double Data Rate 6, which represents working on data to render the graphical illustrations of the surrounding. It is an advanced technology that helps self-driving cars elevate their data processing speed. Since autonomous cars need quick decision-making based on the surroundings, GDDR6 is a handy technology.
Moreover, this technology is the most important since it offers storage and the ability to process the data collected by a car. Thus, the better GDDR6 technology in a self-driving car is, the more efficient its operation will be.
Advancements of Self-Driving Vehicles
Since autonomous vehicles are a developing domain, it is in a constant state of advancement. It has enabled a convenient and effortless driving experience. A few of the perks and advancements of self-driving vehicles include the following:
#1. Improved Traffic Condition
The prediction and decision-making models of self-driving cars are top-notch, helping traffic conditions in terms of improvement. Self-driving cars have reduced traffic incidents after assessing the surroundings using advanced AI. As human-driven cars may become prey to human error, self-driving cars don’t fall victim to such actions.
Moreover, the development of a communicable traffic system in autonomous vehicles improves the traffic flow. It allows pedestrians and other vehicles to pass without making a traffic jam. Since they use sensors to coordinate mutually, self-driving cars contribute to flowing traffic without interruptions.
#2. Health Benefits
Numerous aged people must drive to a certain destination for a specific reason. Driving may become fatal for their health, but they can’t avoid it due to the task’s severity. In this case, self-driving vehicles are the best fit for such people.
Moreover, long driving may affect your health since you often have to use muscle contraction and relaxation. Thus, it may cause severe damage to your body. On the other hand, self-driving cars keep you on the safe side.
#3. Eco-Friendly Perks
AI has helped industries develop technologies that can benefit the environment. This way, we can counterbalance the adverse impacts of technology on the ecosystem. For instance, conventional cars originate in an industry run on fuels and energy, polluting the air and water.
On the contrary, AI-driven cars, including self-driving, electric, and hybrid cars, are the best eco-friendly and safe alternative. Therefore, we must work to make autonomous vehicles widespread.
Challenges of Autonomous Vehicles
Despite the fast-paced growth of self-driving cars, much attention and work is needed to tackle the challenges autonomous vehicles face. Here are a few challenges of AI-driven vehicles.
#1. Reliability and Passiveness
Sometimes, the surroundings may become highly complicated, making it challenging for the AI system of self-driving to predict and operate. Thus, it may cause an accident. Plus, relying completely on self-driving cars is harmful and fatal.
Furthermore, autonomous cars use AI to operate and drive digitally. Cybercriminals may easily target your car by reverse engineering its data.
#2. Impact on the Job Market
Drivers may fear the widespread use of self-driving cars as they can replace them. However, self-driving cars are expensive, making them difficult for transportation companies to own. Moreover, using self-driving cars may become a concern for legal and ethical issues. Who will be responsible for the safety and privacy of passengers in a self-driving car?
Frequently Asked Questions
How Do Self-Driving Cars Operate?
Autonomous vehicles operate in different stages in a fast-paced process. It ranges from perceiving the data to processing it to deciding the route and speed of the car. Moreover, it constantly observes its surroundings to avoid any unfortunate event.
What Is the Type of AI Used in Autonomous Vehicles?
Self-driving vehicles employ various types of AI, including limited memory AI, artificial neural networks, etc. The type of AI used depends on the kind of vehicle. For instance, autonomous trucks (AV trucks) use limited memory AI.
Is Machine Learning Used in Autonomous Vehicles?
Autonomous vehicles use deep learning, which is a type of machine learning. It improves the accuracy and operability of self-driving cars on the roads using the data provided to the car.