IEKView：Deep learning sits at the core of autonomous driving development
As semiconductor and electronics technologies progress, automakers and suppliers of components and systems are applying more advanced auto electronics technology to car design and manufacturing. This has transformed cars from the enclosed systems of the past to smart cars that are able to communicate with the outside world. The development of smart cars aims to achieve the shared goals of all automakers, namely safety, convenience, comfort and environmental protection.
During the last few years, Google’s autonomous vehicle has successfully completed the challenge of long-haul journeys in Asia and Europe. Bosch has also made advances in driverless car technology. This has enhanced global carmakers’ confidence in autonomous driving technology. It has also contributed to the vibrant development of advanced driver-assistance system (ADAS) technologies. According to forecasts by the Industry, Science and Technology International Strategy Center (ISTI) of ITRI, from 2019 to 2023, the application of artificial intelligence (AI) in autonomous vehicle systems, semi-autonomous vehicle systems, Human interface (HMI) and vehicle tracking technology projects will account for a relatively high market share. As the percentage of autonomous vehicles and electric vehicles continues to increase, the percentage of AI applications devoted to car parking management systems and carbon emissions management systems is declining year by year. AI, as a key technology for autonomous driving, has become increasingly mature during the past few years.