Seishi Fukuma

According to our database, Seishi Fukuma authored at least 2 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Acoustic Traffic Monitoring Based on Deep Neural Network Trained by Stereo-Recorded Sound and Sensor Data.

Tomohiro Takahashi, Yuma Kinoshita, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, Hiroshi Nakagawa

Proceedings of the 31st European Signal Processing Conference, 2023

Augmentation of Various Speed Data by Controlling Frame Overlap for Acoustic Traffic Monitoring.

Tomohiro Takahashi, Yuma Kinoshita, Natsuki Ueno, Yukoh Wakabayashi, Nobutaka Ono, Jun Honda, Seishi Fukuma, Aoi Kitamori, Hiroshi Nakagawa

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023