Advances in self-driving technology are expected to grab the headlines at the Geneva International Motor Show (GIMS, pictured above) which begins this week. The technology has progressed in leaps and bounds over the last year, partly thanks to more complex analytics algorithms.
For instance, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory have been working on a new change lane algorithm which allows automated cars to behave like humans and make split-second decisions on whether to stay in a lane or not. The researchers tested their algorithm in a simulation with up to 16 autonomous cars driving in an environment with several hundred of other vehicles, without collision.
The rise in edge computing has made cars more capable of processing and finding patterns in the data provided by sensors. The data is stored in the car itself instead of a central cloud, making it faster and easier to process. It is also more difficult to hack. (For more information about edge computing, read the IEC White Paper Edge Intelligence.)
IEC is preparing the ground for the increasing use of AI technology in our daily life. The joint technical committee of IEC and ISO on information technology (ISO/IEC JTC 1) and several of its subcommittees (SCs) prepare international standards that contribute towards artificial intelligence. For instance, SC 42 was set up to provide standardization in the area of AI as well as guidance to other committees developing AI applications.
IEC is also a founding member of the Open Community for Ethics in Autonomous and Intelligent Systems (OCEANIS). This global forum brings together organizations interested in the development and use of standards as a means to address ethical matters in autonomous and intelligent systems.
A series of standards published by IEC TC 47, IEC 62969, specifies the general requirements of power interfaces for automotive vehicle sensors. IEC TC 100 issues several standards relating to multimedia systems in cars.
One of its most recent publications is IEC technical specification ((TS) 63033. It specifies the model for generating the surrounding visual image of the drive monitoring system, which creates a composite 360° image from external cameras. This enables the correct positioning of a vehicle in relation to its surroundings, using input from a rear-view monitor for parking assistance as well as blind corner and bird’s eye monitors. CBI