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Miho Akiyama

Observed name: Miho AKIYAMA
ORCID: 0000-0002-9885-8202
Observed ORCID: 0000-0002-9885-8202
OpenAlex ID: A5048151536
Development of Rover with ARLISS Requirements and the Examination of the Rate of Acceleration that Causes Damages During a Rocket Launch
2019 · Takuya Saito, Miho Akiyama · Journal of Robotics and Mechatronics · 13
A Novel CanSat-Based Implementation of the Guidance Control Mechanism Using Goal-Image Recognition
2020 · Miho Akiyama, Takuya Saito · IEEE Global Conference on Consumer Electronics (GCCE) · 11
Practical evaluation and functional design of a small autonomous robot in ARLISS
2017 · Takuya SAITO, Miho AKIYAMA, et al. · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 5
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Method to Achieve High Speed and High Recognition Rate of Goal from Long Distance for CanSat
2023 · Miho Akiyama, Hiroshi Ninomiya, et al. · Journal of Robotics and Mechatronics · 4
Influence of Radio Waves Generated by XBee Module on GPS Positioning Performance
2020 · Miho Akiyama, Takuya Saito · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · 3
A Novel Method for Goal Recognition from 10 m Distance Using Deep Learning in CanSat
2021 · Miho Akiyama, Takuya Saito · Journal of Robotics and Mechatronics · 2
A Study of Image Recognition Rate with and without Padding of 2D Convolutional Layer for Deep Learning in CanSat
2021 · Takuya Saito, Miho Akiyama · IEEE Global Conference on Consumer Electronics (GCCE) · 2
Goal Recognition Using Deep Learning in a Planetary Exploration Rover Developed for a Contest
2020 · Miho Akiyama, Takuya Saito · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · 2
Development of a Planetary Exploration Rover That Won The Tanegashima Rocket Contest
2019 · Takuya SAITO, Miho AKIYAMA · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2
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Study on Parachute Entanglement Prevention Method Using Image Recognition in CanSat
2020 · Miho Akiyama, Takuya Saito · International Conference on Computational Science and Computational Intelligence (CSCI) · 1
Design and Evaluation of a Small Autonomous Mobile Planetary Exploration Rover in ARLISS 2017
2018 · Takuya SAITO, Miho AKIYAMA · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 1
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Accurate 0 m Goal Achievement for CanSat Using Multi-zone ToF Sensing and Object Detection
2026 · Miho Akiyama, Takuya Saito · Communications in computer and information science
An Efficient YOLO-Based Approach for Goldfish Disease Diagnosis
2026 · Yugo Ohashi, Miho Akiyama, et al. · Communications in computer and information science
Efficient Real-Time Object Detection Using Deep Neural Networks: A Comparative Analysis on Low-Power Devices
2026 · Byambabat Batkhuyag, Miho Akiyama, et al. · Communications in computer and information science
Design and Verification of a CanSat Rover Remote Control System Using Cloud and MQTT Communication
2026 · Seiya Yoshida, Miho Akiyama, et al. · Communications in computer and information science
High-Accuracy Goal Detection and Distance Measurement Using ToF Camera in CanSat
2025 · Takuya Saito, Miho Akiyama · Communications in computer and information science
Proposal of a Method for Inferring the Road Surface from Vibration Using Deep Learning on CanSat
2022 · Takuya Saito, Miho Akiyama · International Conference on Computational Science and Computational Intelligence (CSCI)
Proposal of Long-Distance Goal Recognition Method Using Deep Learning in CanSat
2021 · Miho Akiyama, Takuya Saito · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)
Works count: 18
Citation count: 46
H-index: 4
I10-index: 2
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