EyeSight is the first driver assistance system to use only stereo cameras to detect the presence of other vehicles, pedestrians, cyclists and motorcyclists. (Earlier post.) In addition to avoiding frontal collisions and limiting damage in the event of an accident, the EyeSight technology has made possible a number of other preventive safety functions, notably Adaptive Cruise Control and Active Lane Keep.

Working together with IBM Japan, FHI developed a system that integrates and comprehensively manages vast amounts of test image data. The system began operation this month. This will allow FHI engineers easily to search for and analyze needed test images.

This system is also expected to lead to improved development efficiency, significantly contributing towards the attainment of the advanced driver assist.

In the future FHI and IBM Japan will investigate the building of a new system using IBM Watson Internet of Things (IoT) for Automotive, an internet of things (IoT) solution for the automotive industry based on IBM cloud. The solution supports real time analytics by integrating data collected from sensors mounted on each car with other data.

FHI is developing technology for autonomous driving by advancing safety performance and reliability verified with EyeSight. The collaboration with IBM Japan is the base for accelerating the development and evolving its technology level significantly.