3 papers
cs.SE2026
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…
cs.RO2026
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…
cs.RO2025
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…