Recognition of Driving Environment for Automated Driving by Lean Sensors
Institute of Gerontology The University of Tokyo
*The organization and the title are those when awarded
Research summary
Driver assistance systems, based on automated driving technologies, are becoming more and more important for elderly drivers in the "Super-aged society".
So far, most of the automated driving technologies have focused on highway driving and have frequently adopted high-cost sensors.
It makes these technologies difficult to be practically applied as elderly driver assistants in the real world.
By utilizing the combination of in-vehicle sensors and digital maps, Dr. Ito has developed a detection method for damaged road markings (e.g. stop lines, crosswalks, and speed-limit signs) on the community roads that are not always sufficiently maintained.
The technology is featured with practicable sensors, such as in-vehicle cameras.
Being applied to commercial vehicles, this technology is expected to contribute to energizing the Super-aged society by supporting the daily transportation of the elderly.
