Artificial intelligence in Automotive Industry Research

Artificial intelligence (AI) in automotive industry is anticipated to bring about a radical change in the industry by streamlining manufacturing processes, enabling improved product life-cycle costs and augmenting corporate growth. These technologies, which include advanced automotive self-driving cars, self-driving trucks and vehicles, and artificial intelligence systems for monitoring and diagnosing safety and performance problems in a truck or a vehicle, are also called AIT or Artificial intelligence technologies. This technology is projected to dramatically reduce manufacturing costs and improve productivity in the long run. However, the emergence of these technologies raises some pertinent questions on the role of technology in the automotive industry.

The advent of fully-automated vehicles is expected to pave the way for greater automation in other areas such as diagnosing potential problems with a machine, eliminating human intervention, and reducing the potential errors in driving. Automakers have already started integrating AIT into new vehicles. In a recent survey, most executives in the American car industry feel that their companies must research and invest in these technologies to stay at the forefront of technology in the automotive industry. A majority of those surveyed believe that the introduction of fully-automated vehicles will reduce the frequency and severity of accidents, while addressing safety concerns.

Artificial intelligence system installed in vehicles can also detect and prevent several common accidents that conventional prevention methods cannot address. According to an industry leader in artificial intelligence in the automotive industry, “The biggest challenge for companies is that they do not understand why an AIT-based system is more successful than a traditional prevention method. But over time, AIT proved that it was more effective than traditional training and inspection techniques.” Industry experts agreed that future vehicles would run much more efficiently if they incorporated AIT-like Machine Learning technologies.

The automotive industry certainly has the technology to achieve full automation. However, many experts believe that full automation would require the automotive industry to re-invent itself. One industry leader said, “To get to where we want to be with artificial intelligence, we have to think outside of the box. We need to re-design our manufacturing processes to make them more like a service business instead of a manufacturing business.”

Self-driving vehicles may not be far off, but the dream of fully self-driving cars is probably a ways off still. Experts are however looking at the automotive industry’s potential to use self-driving vehicles not only for commercial purposes but also for military and public safety applications. In a military setting, self-driving vehicles could mean the removal of human drivers from roads where national security is an issue. In a public safety setting, such vehicles would be utilized to detect and prevent DUI (drugged driving) accidents that currently occur on a large scale. Such a system would work by allowing a driver to briefly relinquish control of the vehicle so a technician could inspect the engine or other trouble spots.

A similar system could use data gathered by sensors to determine the health of a driver. Such sensors are already in wide use in several areas of business and law enforcement. They include radar sensors, lidar (light recognition) sensors and infrared cameras. The idea of using an artificially intelligent cloud services platform to gather and analyze data from a variety of sources including cameras and sensors is gaining steam. Some experts believe that self-driving cars could someday be a reality.

Artificial intelligence in automotive industry research can help the industry by reducing costs by up to one-third while reducing accidents by as much as 40 percent. It could also help the automotive industry by making it possible to produce more vehicles per year than it currently does. If the costs can be reduced by such a great amount, why buy less when you don’t have to? This is just one of the reasons why researchers are banking on artificial intelligence in the future of manufacturing.

Another part of the future of manufacturing may be predictive maintenance systems. These are simply smart machines that could help maintain your vehicles in the event of a major maintenance overhaul. Such a system could tell your mechanic how many times your vehicle has been shut off and on over the past few years. It could also detect any signs of potential problems including common issues such as engines that stall and others. This type of predictive maintenance is currently being tested in several U.S. automobile companies.