Search Results - "Kitajima, Hiromu"

Time-of-flight imaging in fog using multiple time-gated exposures by Kijima, Daiki, Kushida, Takahiro, Kitajima, Hiromu, Tanaka, Kenichiro, Kubo, Hiroyuki, Funatomi, Takuya, Mukaigawa, Yasuhiro

“…We propose a time-of-flight measurement algorithm for depth and intensity that is robust to fog. The key idea of the algorithm is to compensate for the…”
Get full text

Robust Pixel Design Methodologies for a Vertical Avalanche Photodiode (VAPD)-Based CMOS Image Sensor by Inoue, Akito, Torazawa, Naoki, Yamada, Shota, Sugiura, Yuki, Ishii, Motonori, Sakata, Yusuke, Kunikyo, Taiki, Tamaru, Masaki, Kasuga, Shigetaka, Yuasa, Yusuke, Kitajima, Hiromu, Koshida, Hiroshi, Kabe, Tatsuya, Usuda, Manabu, Takemoto, Masato, Nose, Yugo, Okino, Toru, Shirono, Takashi, Nakanishi, Kentaro, Hirose, Yutaka, Koyama, Shinzo, Mori, Mitsuyoshi, Sawada, Masayuki, Odagawa, Akihiro, Tanaka, Tsuyoshi

“…We present robust pixel design methodologies for a vertical avalanche photodiode-based CMOS image sensor, taking account of three critical practical factors:…”
Get full text

A Nearly Interference-Free and Depth-Resolution-Configurable Time-of-Flight System Based on a Mega-Pixel Vertical Avalanche Photodiodes CMOS Image Sensor by Yamada, Shota, Ishii, Motonori, Kasuga, Shigetaka, Takemoto, Masato, Kitajima, Hiromu, Okino, Toru, Sakata, Yusuke, Usuda, Manabu, Nose, Yugo, Koshida, Hiroshi, Tamaru, Masaki, Inoue, Akito, Sugiura, Yuki, Saito, Shigeru, Kunikyo, Taiki, Yuasa, Yusuke, Nakanishi, Kentaro, Torazawa, Naoki, Shirono, Takashi, Kabe, Tatsuya, Koyama, Shinzo, Mori, Mitsuyoshi, Hirose, Yutaka, Sawada, Masayuki, Odagawa, Akihiro, Tanaka, Tsuyoshi

“…We present a long range (~250 m) time-of flight (TOF) system with suppressed (nearly-free) mutual-interference. The system is based on a <inline-formula>…”
Get full text

Multi-Layer Attention-based State Representation for the Reinforcement Learning of Visual Servoing by Kitajima, Hiromu, Bounyong, Souksakhone, Yoshioka, Mototaka

“…In this paper, we propose multi-layer attention-based state representation for robotic visual servoing using reinforcement learning. It is challenging for a…”
Get full text