6 citations · 14 across the 8 of their papers we have counts for
11 papers
Model-Based Retargeting to Many-Core CPS: Simulink-to-OpenCL Workflow
Ryuga Chiba, Hiroshi Fujimoto, Takuya Azumi
This paper addresses the software portability gap between Model-Based Development (MBD) and advanced many-core execution for Cyber-Physical Systems (CPS). We present a workflow-pre…
Sim-to-Real Aware End-to-End Learning Environment for Micromobility
Shouma Amano, Takuya Azumi
While end-to-end autonomous driving systems show promise, their application to micromobility vehicles is hindered by simulators failing to capture specific kinematics, such as diff…
BA-TRACE: Boundary-Aware Trace Reconstruction for Scenario-Based Evaluation of Mixed AUTOSAR Adaptive and ROS 2 Vehicular Embedded Systems
Shunsuke Ito, Ryudai Iwakami, Hiroyuki Hanyu +2
Modern vehicular embedded systems increasingly combine ROS 2-based autonomous-driving stacks with AUTOSAR Adaptive Platform (AUTOSAR AP). Such mixed stacks make scenario-based eval…
VAST: V2X/Dynamic Map-Aware Autonomous Driving Systems Validation Toolchain
Shunsuke Ito, Takuya Azumi
Cooperative autonomous driving in the IoT-to-Edge-to-Cloud continuum requires system-level validation across vehicles, infrastructure sensors, edge-side Dynamic Map services, and i…
SC-MII: Infrastructure LiDAR-based 3D Object Detection on Edge Devices for Split Computing with Multiple Intermediate Outputs Integration
Taisuke Noguchi, Takayuki Nishio, Takuya Azumi
3D object detection using LiDAR-based point cloud data and deep neural networks is essential in autonomous driving technology. However, deploying state-of-the-art models on edge de…
Parallelized Code Generation from Simulink Models for Event-driven and Timer-driven ROS 2 Nodes
Kenshin Obi, Ryo Yoshinaka, Hiroshi Fujimoto +1
In recent years, the complexity and scale of embedded systems, especially in the rapidly developing field of autonomous driving systems, have increased significantly. This has led…
Model-based Development for Autonomous Driving Software Considering Parallelization
Kenshin Obi, Takumi Onozawa, Hiroshi Fujimoto +1
In recent years, autonomous vehicles have attracted attention as one of the solutions to various social problems. However, autonomous driving software requires real-time performanc…
D-AWSIM: Distributed Autonomous Driving Simulator for Dynamic Map Generation Framework
Shunsuke Ito, Chaoran Zhao, Ryo Okamura +1
Autonomous driving systems have achieved significant advances, and full autonomy within defined operational design domains near practical deployment. Expanding these domains requir…
AUTOSAR AP and ROS 2 Collaboration Framework
Ryudai Iwakami, Bo Peng, Hiroyuki Hanyu +2
The field of autonomous vehicle research is advancing rapidly, necessitating platforms that meet real-time performance, safety, and security requirements for practical deployment.…
3D Point Cloud Object Detection on Edge Devices for Split Computing
Taisuke Noguchi, Takuya Azumi
The field of autonomous driving technology is rapidly advancing, with deep learning being a key component. Particularly in the field of sensing, 3D point cloud data collected by Li…
Partitioned Scheduling for DAG Tasks Considering Probabilistic Execution Time
Fuma Omori, Atsushi Yano, Takuya Azumi
Autonomous driving systems, critical for safety, require real-time guarantees and can be modeled as DAGs. Their acceleration features, such as caches and pipelining, often result i…