Autonomous cars are essential to future visions. Since the beginning of science fiction, the automobile has been considered the last technological frontier. But, when we look at our cities, automobiles are often seen as a remnant of the past.
The truth is that the vision for the automotive industry has outpaced the speed of development. However, estimates suggest that the market for autonomous vehicles will expand by $6 billion in 2022 to $60 billion by 2030.
This makes it clear that autonomous vehicles are expected to gain ground. In the meantime, the field of artificial intelligence (AI) is slowly beginning to revolutionize our cars by integrating innovations across different car brands. Moreover, automotive translation services are also allowing automotive brands to establish their presence in foreign markets.
The auto industry is leveraging AI in the production of cars. Utilizing these knowledge sources and new applications, we’ll take a closer review of how AI is affecting and will affect automobiles.
As AI becomes more accessible to car makers, numerous car manufacturers have a single goal: safety. Tesla, the car manufacturer, helping to accelerate the world’s transition towards renewable energy, has been among the leading automotive companies in AI use since its beginning in 2003.
One of the main innovations is an AI-powered inside camera mounted on the rearview mirror that improves safety in the cabin. Utilizing AI advancements, this camera detects and examines drivers’ eyes to determine their tiredness level and prevent road accidents.
The technology is built on the company’s neural network technology that analyzes road photos for object detection and depth estimation. In addition, by utilizing high-quality training information from its fleet of more than 1 million vehicles in real-time, the firm’s AI efficiently warns motorists about potential dangers to prevent collisions.
As with Tesla, autonomous vehicle makers must utilize various data sources to ensure their AI can provide safe and secure driving. Alongside well-designed navigators and communication systems, manufacturers need to improve their ability to identify, label, and respond to different cars, pedestrians, and objects on the road. However, the truth is that top-quality AI is something that takes time to happen.
Instead of making your system perfect from the beginning, the manufacturers must realize that creating reliable, non-biased datasets – and, consequently, AI algorithms–requires a severe investment in human-in-the-loop learning and testing. It’s good to know that access to training data has always been challenging. As more and more manufacturers incorporate tiny-scale robotics into their cars and vehicles, we’re more likely to be able to pass semi-autonomous cars than at any time in the past.
The vehicle someone drives is often a fundamental expression of one’s self. To ensure that customers receive individualized cars and experiences while driving, the luxury automotive manufacturer Porsche has launched new AI-powered features.
Through its machine-learning-powered configuration system, called the “Recommendation Engine,” Porsche recommends vehicle options according to the driver’s personal preferences. As with any well-constructed machine learning system, precise training data is the key to Porsche’s ingenuity.
The company has trained more than 270 machine learning models throughout development to produce the most efficient recommendations possible. Moreover, the value of a credible automotive translation company has also become apparent. They allow a more personalized experience for a user by translating audio and manual in the local language of the driver.
In the end, the AI tool efficiently uses patterns in data to help predict customers’ preferences. As a result, Porsche AI’s suggestions today are over 90 percent accurate, with accuracy growing with every application and data input.
The trend towards personalization reflects a broader social trend to have a smoother and more efficient purchase process. Due to ongoing supply chain problems and delays, customers are less impatient when choosing and receiving their purchases. To provide a superior customer experience, car companies could streamline their decision-making process.
In the era of deficiency and inefficiency, car manufacturers can harness trained data to develop AI algorithms that can understand their consumers and their individual preferences. With this technology, we are likely to see the cars we drive to be more reflective of the drivers who drive them.
For years, in-car voice assistants were confine to luxurious automobiles. But, as AI becomes more widely available and accessible, it’s becoming a part of everyday life. And the need for professional translation services is also becoming more apparent.
The percentage of vehicles equipped with in-car services increased to 45 percent, up from 30 percent in 2018. A reflection of the manufacturers’ confidence that technology is necessary, this figure will increase to 60 percent by 2024—most new cars sold worldwide are expect to feature voice assistants by 2028.
In the meantime, the Mercedes Benz User Experience (MBUX) infotainment system remains among the top in-car voice assistants. Like Apple’s Siri, the AI voice assistant can respond to “Hey, Mercedes” and essential voice commands like “turn on the radio.”
The idea of voice recognition has been considering one of the most challenging aspects of AI generation. AI powers the voice recognition system with a mix of Natural Language Processing (NLP) and ML. It is train to interpret driver signals and voice recognition. It transforms the human voice into digital comprehension.
As we enter this new year, be prepare for more available AI-power vehicles. Mainly as older assistants such as Amazon Alexa move into cars from Fiat Chrysler and the latest Nvidia Drive Concierge (full disclosure: NVIDIA is an official Sama partner) is available commercially.
To improve their capability, researchers strive to create AI that recognizes language’s confusion and complexities. With the help of significant advancements in every translation services company, In-car assistants are fast bringing AI into cars.
With AI investment and advancements in the pipeline, the impact of technology on automobiles and the whole automotive industry will only increase. From helping consumers choose the ideal vehicle for their family to eventually driving them to work, AI’s automotive industry applications geared towards consumers are among the most exciting we’ll ever experience.
Furthermore, by using high-quality training information, car manufacturers and manufacturers will be at the forefront of AI technology, harnessing its capabilities to deliver our future-oriented vision of cars to life.