Flying cars or self-driven cars are no longer a sci-fi fantasy.
With the help of artificial intelligence, the futuristic dream of autonomous flying cars and self-driven cars comes true.
Some big transportation players like Boeing and Porsche have already manufactured flying cars.
Although autonomous flying cars are not yet available in the market, self-driven vehicles are ready for commercial sale.
You can imagine the world with self-driven cars, including cars, bikes, trucks in the near future.
The car is supported by AI, which further is compatible with machine learning, the Internet of Things, cloud computing, and other latest technologies.
What’s a Self-driven car?
A self-driven car is a driverless car that uses a combination of AI, cameras, sensors, radar to commute between destinations without any human interference.
To qualify as the autonomous, the vehicle should be able to navigate without a human operator to a predetermined destination over the roads.
How does a self-driven car work?
AI powers a self-driven car.
The manufacturers of self-driven, along with the AI developers, use the vast amount of data from image recognition, machine learning, and deep learning to build a system that can drive cars autonomously.
The image recognition identifies patterns in the data which is fed to the machine learning algorithms.
The information includes images from the cameras that are sent to feed deep learning, which learns to identify the traffic lights, pedestrians, street signs, curbs, and other parts of the given driving destinations.
The more the system drives, the more data it can collect, store, analyze, and implement in its deep learning algorithms, enhancing accuracy and safety.
The driver needs to set a destination, and the AI stimulates the human perceptual and decision-making processes using deep learning to control steering and brakes.
Automation levels in a self-driven car
According to the National Highway Traffic Safety Administration, there are up to 6 automation levels in a self-driven car.
The standards include human driving to fully autonomous driving.
- Level 0: The human driver driving without any help
- Level 1: The driver takes the help of an advanced driver assistance system popularly known as ADAS.
- Level 2: The vehicle’s ADAS controls both the steering and brakes on behalf of the driver, while the driver continues with the rest of the driving tasks.
- Level 3: The ADAS performs all driving tasks in certain situations, while the driving is only paying attention to the job.
- Level 4: The ADAS performs all driving tasks in certain circumstances, and the driver’s attention is not required.
- Level 5: The ADAS performs all driving tasks in all circumstances, and the human occupants are just passengers and never involved in any driving tasks.
American scientist John McCarthy was the first to recognize Artificial intelligence in 1955.
Artificial intelligence can be outlined as the ability of a computer program or machine to think, to learn and make decisions accordingly.
Generally, AI means the machine which mimics human perception.
AI-the brain of self-driven car
Artificial intelligence is making a high impact on automobile companies and car owners in many ways.
Many big players, including BMW, Google, General Motors, Volvo, are developing and testing autonomous cars.
A fleet of self-driven cars is navigating over 140,000 miles of California streets and highways.
Artificial learning mimics neuron activities that support functions like speed recognition, image recognition, voice search, motion detection, and data analysis.
Working together, these functions help the vehicles to optimize pedestrian traffic, traffic signals, street signs, mapped routes, and other cars on the road.
Real-time route optimization
The self-driven car can be connected with the Internet of Things and cloud computing to get the quick and real-time route optimization.
The AI can be combined with Google maps to get real-time updates on traffic, natural calamities, and other unforeseen circumstances.
This helps to get the best possible route to reach the selected destination.
Enhanced lane capacity
The AI-powered self-driven car can operate at higher speeds and close vehicle proximity, which leads to greater lane capacity.
Reduced energy consumption
The autonomous vehicles are well-equipped with software rather than conventional cars, which are fully-loaded with mechanical parts.
Thus, the self-driven car is lighter, and so they consume less fuel.
Safety and security
The self-driven car can only gain acceptance until it assures safety and security not only for the ride but also for pedestrians and other vehicles.
For enhanced safety and security, Intel has developed a new framework called Responsibility Sensitive Safety.
Many automobile companies have started using this new framework as the best practices to keep their cars in safe mode.
Cloud computing and IoT
The continuous and quick connectivity between the vehicles and outside sources such as cloud computing ensures that signals get to and from cars more quickly.
The arrival of 5G wireless technology promises high-speed connectivity, which improves data downloads.
Besides, other services, including real-time participating in games, health care monitoring, videoconferencing, are also enabled due to high-speed Internet and IoT.
Sensor technology is rapidly emerging to meet the demands of the self-driven car manufacturers.
These systems become more powerful when combined with AI, cloud computing, and the Internet of Things.
Radar, cameras, and lidar are some of the vital elements of sensor technology, which contributes to a safe drive for an autonomous car.
AI is also compatible with different kinds of biometric security software, including facial recognition, eye recognition, voice recognition, and finger recognition.
With the help of face recognition, the self-driven car system can automatically adjust the seat, mirrors, and temperature according to the height of the driver.
AI has gained much attention in the automobile industry, especially in self-driven cars.
It brings a new breed of cars and a unique experience of travelling.
In driverless cars, AI covered a considerable part of requirements and enhanced the features to a completely different level.
Besides, the advancement in AI has also contributed to the growth of the automobile industry.
Once, self-driven cars are fully adopted, the rate of traffic collisions through aggressive driving and human error will reduce substantially.
AI not only enables safe driving but also helps to cut down the cost and time for the automobile manufacturers.
AI is already making exciting changes in the automobile industry, including the way we interact with the connected devices.
The automotive world, along with AI, is going towards a new transformation in a big way.