Artificial Intelligence in Autonomous Vehicles
AI is revolutionizing the auto industry by driving growth in autonomous vehicles & ADAS. AI-enabled cars generate data for safe, efficient operation. The market for automotive AI is predicted to reach $12B by 2026, with deep learning being the most significant technology in the sector.
Artificial Intelligence (AI) has taken the automotive industry by storm to drive the development of level-4 and level-5 autonomous vehicles. The enormous amount of data that is currently at our disposal is what is causing this explosion in AI. In addition, we can gather data across all industries thanks to connected devices and services, accelerating the AI revolution.
Everything is about user experience these days, and cars are no exception. Consumers want everything to be highly efficient, tailored to their needs, and easily accessible with the least effort. Artificial intelligence in cars can help meet those needs and build a transportation device that does significantly more than take its passengers from point A to point B.
The market for artificial intelligence in the automotive industry is predicted to surpass $12 billion by 2026, proving that automotive AI is a big business. Some AI-powered features are already available in consumer vehicles, while others are still being tested and developed.
Nvidia introduced its first AI machine in October 2017 to enable deep learning, computer vision, and parallel processing methods, despite efforts to quickly advance sensors and cameras to generate data with autonomous vehicles. AI has become an essential component of automated drive technology, and it is vital to know how it works in autonomous and connected cars.
The Growth of AI in the Automotive Industry
The Automotive AI industry is anticipated to grow at a CAGR of roughly 38.5%, from an estimated $783 million in 2017 to close to $11 million by 2025. In addition, IHS Markit, an information services provider, anticipated, compared to the adoption rate of 8% in 2015, the installation rate of AI-based technologies in new vehicles would increase by 109% in 2025. As a result, AI-based solutions will increasingly be seen in new cars, particularly in these two categories:
"Human-machine interaction for infotainment systems, including speech and gesture recognition, eye tracking, driver monitoring, virtual assistance, and natural language interfaces."
Advanced Driver Assistance Systems (ADAS)
Most vehicle accidents are caused by human error, which most can avoid with Advanced Driver Assistance Systems (ADAS). The role of ADAS is to prevent deaths and injuries by reducing the number of car accidents and the severe impact of those that really cannot be avoided.
Autonomous vehicles incorporate sensor-fusion engine control units, radar-based detection units, camera-based machine vision systems, and driver condition evaluation (ECUs). Deep learning, a technique for implementing machine learning (an approach to achieve AI), is expected to be the most significant and fastest-growing technology in the automotive AI market—currently used in voice recognition, voice search, recommendation engines, sentiment analysis, image recognition and motion detection in autonomous vehicles.
How Does AI Work in Autonomous Vehicles?
By 2020, 250 million vehicles will be interconnected with one another and the surrounding infrastructure via various V2X (vehicle-to-everything) technologies, predicts Gartner. Cars will be able to record and communicate not only internal system status and position data but also changes in their surroundings in real-time as the amount of information input into IVI (in-vehicle infotainment) units or telematics systems develops. With the addition of cameras, sensors, and communication systems, autonomous cars will be able to generate enormous volumes of data that, combined with artificial intelligence (AI), will allow them to see, hear, think, and act in the same ways as human drivers.
Artificial intelligence, particularly neural networks and deep learning, is now vital to ensure autonomous cars' proper and secure operation. The solution would also provide a more significant return on investment as AI continued to change the automobile industry, creating new opportunities.