A Field Experiment of Roadway Recognition and Data Transmission by Roadside Sensors for Autonomous Mobility Assistance System (AMAS).

Research and development (R&D) of an autonomous and automatic mobility assistance system (AMAS) in cooperation with the information communication technology (ICT) are undergoing. R&D of a technique to efficiently update and distribute dynamic map (DM), which is a database of the roadway information collected and analyzed by autonomous mobilities and roadside sensors, enables highly reliable and accurate automatic driving and automatic mobility control. For the verification of updating and distributing DM to autonomous mobilities, we developed a testbed system that acquires roadway information using roadside sensors namely wireless electronic traffic mirrors (WETMs), recognizes road objects and changes by the object recognition operations, and transfers the recognition information via a wireless communication system. In addition, we have implemented a method to drastically reduce the communication load by compressing the image information obtained from the roadside sensors, and verified it from the field experiments using the test-bed system.