Objectives

The Dynamic Map Group conducts research on data management and data fusion technologies for next-generation intelligent mobility systems. As vehicles and smartphones equipped with various sensors and cameras become increasingly widespread in urban environments, the amount of data collected from the real world is growing rapidly. Our goal is to establish fundamental technologies that enable the efficient integration, analysis, and utilization of such large-scale and distributed sensor data.

Research topics

• Distributed cooperative sensor fusion systems
• Multi-frame data fusion for object detection information from multiple LiDAR sensors
• Implementation and evaluation of a point cloud search system between vehicle and cloud using NoSQL
• Automatic labeling system through road–vehicle cooperation
• Vehicle trajectory prediction at signalized intersections considering surrounding environmental information
• Dynamic selection of data fusion targets based on positional context in road–vehicle cooperation

Members

Staffs

• Hiroaki Takada
• Yosuke Watanabe
• Shunya Yamada

Students

• Shoin Nishihara
• Yuichiro Yasue
• Satoyoshi Hirano
• Kanta Nagao
• Yuhi Nishioka
• Kaito Hatano
• Keima Takeda