ESIM: An Embodied System Integration Methodology for Real-Time Risk Mitigation in Autonomous Driving
This paper proposes an Embodied System Integration Methodology (ESIM), which translates cognitive models into fielded robotic systems, and demonstrates that by applying hardware acceleration and asynchronous pipelines, the ESIM framework consistently maintains end-to-end latencies within 10–20 ms across heterogeneous h...