| 菊田 潤 | M, 2回目発表 | サイバネティクス・リアリティ工学 | 清川 清, | 和田 隆広, | 内山 英昭, | Perusquia Hernandez Monica, | 平尾 悠太朗 |
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title: Proposal for a Force Feedback Glove Using Pneumatically Operated Artificial Muscle and Brake
abstract: While haptic feedback plays an important role in enhancing immersion in VR experiences, there has been no haptic device capable of providing active feedback with both high output and lightweight, compact design, while flexibly presenting elastic sensations. In this study, we propose a glove-type haptic feedback device that combines pneumatic artificial muscles and pneumatic brakes. The system provides the sensation of elastic objects through active feedback from the pneumatic artificial muscles, and accurately presents the sensation of rigid objects through passive feedback from the pneumatic brakes. This approach aims to realize a compact, lightweight, and high-output system capable of flexibly presenting a wide range of haptic sensations. language of the presentation: Japanese 発表題目: 空気圧で作動する人工筋肉とブレーキを用いた力覚提示装置の提案 発表概要: VR体験への没入感を高める上で力覚提示は重要であるが，小型軽量・高出力ながら，柔軟な弾性提示を可能とするアクティブフィードバックを実現する力覚提示装置は存在しなかった．本研究では，空気圧で作動する人工筋肉とブレーキを組み合わせたグローブ型力覚提示装置を提案する．空気圧人工筋肉によるアクティブフィードバックで弾性体の力覚を，空気圧ブレーキによるパッシブフィードバックで高精度に剛体の力覚を提示する．これにより，小型軽量・高出力でありながら，多様な力覚を柔軟に提示可能なシステムの実現を目指す． | |||||||
| 松原 幹太 | M, 2回目発表 | サイバネティクス・リアリティ工学 | 清川 清, | 和田 隆広, | 内山 英昭, | Perusquia Hernandez Monica, | 平尾 悠太朗 |
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title: A Study on the Effects of Sole Shape on Redirected Walking
abstract: This study proposes Redirected Walking (RDW) method that uses the sole shape to enable walking in large virtual reality (VR) environments within limited physical spaces. Previous RDW techniques have achieved this by manipulating visual information. In this study，we focus on shoes that can provide a natural walking experience by placing protrusions on the soles to influence walking direction and expand the RDW detection threshold. The experiment shows that the sole shape affects walking direction, with the protrusions on the heel having a significant effect. Future work will explore sole shape designs that can affect more directional changes and examine the combination of shoes and visual manipulations to increase curvature gain, aiming to realize more natural and effective RDW experiences. language of the presentation: Japanese 発表題目: 靴底の形状がRedirected Walkingに及ぼす効果の検討 発表概要: 本研究では，限られた現実空間で広大なVR空間の歩行を実現する方法として，靴底の形状を用いたRedirected Walking (RDW)を提案する. 従来の RDW は，視覚情報を操作することで限られた現実空間内で広大なVR空間を移動できるようにする．本研究では自然な歩行体験を提供できる靴に着目し，靴底に突起を設置することで歩行方向に影響を与え，RDW の適用範囲を拡大する手法を提案する．実験では，靴底の形状が歩行方向に影響を及ぼすことが確認され，特に踵部に突起を配置することで歩行方向が大きく変化することが確認された．今後は，歩行方向をより大きく変化させる靴底形状の模索や，視覚情報の操作との併用による曲率ゲインの拡大などを検討し，より自然かつ効果的なRDWの実現を目指す． | |||||||
| 我妻 諒治 | M, 2回目発表 | ソフトウェア設計学 | 飯田 元, | 和田 隆広, | 柏 祐太郎, | Reid Brittany | |
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title: An Empirical Investigation into the Impact of Software Quality on the Performance of Automated Driving Software
abstract: Defects in automated driving software can critically impact vehicle control, potentially leading to severe accidents and system failures. To minimize such risks, the development of high-quality software is paramount. However, the precise extent to which software quality influences the performance of automated driving systems remains unclear. This study, therefore, aims to investigate the relationship between software quality and automated driving performance by analyzing the development history from the "Japan Automotive AI Challenge." In this research, we conduct a case study on a single participating team, measuring software quality metrics from their development repository and performance metrics obtained through simulation. The results of our analysis reveal that code complexity metrics, particularly Cyclomatic Complexity and Cognitive Complexity, have a statistically significant negative correlation with automated driving performance. language of the presentation: Japanese 発表題目: 自動運転性能とソフトウェア品質の関係性調査に向けて 発表概要: 自動運転ソフトウェアの不具合は，車両の制御に重大な影響を与え，事故や故障の原因となる可能性がある．事故のリスクを最小限に抑えるためにも，高品質なソフトウェアの製造が望ましい．しかしながら，ソフトウェア品質が，自動運転性能にどの程度影響を与えるかは未だ明らかになっていない．そこで本研究では， 自動運転性能を競う「自動運転 AI チャレンジ」の開発履歴を用いて，ソフトウェア品質と自動運転性能の関係性を調査する．本稿では，1つの参加チームを対象とした分析を実施し，その開発履歴におけるソフトウェア品質指標とシミュレーションによる性能指標を測定した．分析の結果，特に循環的複雑度や認知的複雑度といったコードの複雑性を示す指標が，自動運転性能と統計的に有意な負の相関を持つことが明らかとなった． | |||||||
| KHALIQ ISRAR | M, 2回目発表 | サイバーレジリエンス構成学 | 門林 雄基, | 和田 隆広, | 妙中 雄三 | ||
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title: ***A Modular, Resource-Efficient IDS Framework for
Automotive Cybersecurity ***
abstract: *** Traditional Intrusion Detection Systems (IDS) are not well-suited for modern automotive environments due to their high hardware demands, isolated operation, and limited adaptability to constrained embedded platforms. Most current vehicles rely on single-engine IDS solutions, as the simulta- neous deployment of multiple IDS tools is typically infeasible due to CPU, memory, and power limitations. This restriction leads to fragmented threat visibility and suboptimal detection performance.This paper presents a generalizable, containerized IDS architecture that enables efficient integration of multiple detection engines—such as Suricata, Snort, and Zeek—within a lightweight, resource-optimized framework. Rather than ad- vocating specific tools, our goal is to demonstrate a reusable and modular methodology for building scalable IDS systems in automotive networks.The proposed architecture introduces three key components: (1) container-based deployment for efficient resource sharing, (2) cross-platform event correlation to reduce false positives, and (3) a modular rule system supporting dynamic updates across heterogeneous IDS platforms. Evaluation in a simulated Controller Area Network (CAN) environment demon- strates up to 65% reduction in hardware usage, a 40% decrease in false positives, and detection accuracy above 95%.*** language of the presentation: *** English *** | |||||||