End-to-End-Autonomes-Fahren & Sensorsimulation
SelfDriveSim bietet hochpräzise virtuelle Testgelände, auf denen neuronale Wahrnehmungsnetze über Milliarden synthetischer Kilometer trainiert werden. Photonengenaue Optik und Mehrwege-Radarreflexionen schließen die Sim-to-Real-Lücke für Level-4-Systeme.
Simulation Engine Core Zonal Architecture
Central Controller: Simulation Engine Core — GPU Ray-Tracing Pipeline
Zonal Control Units & TSN Ring
- RTX-Accelerated LiDAR Pulse Synthesizer
- CMOS Sensor Physics & Bayer Filter Engine
- Electromagnetic Wave Radar Scatterer
- ASAM OpenDRIVE Road Graph Generator
- Direct Video Injection (GMSL2/FPD-Link)
Überbrückung der Realitätslücke zwischen virtuellen Simulatoren und echten Kameras
Die Validierung autonomer Fahrsoftware erfordert die bitgenaue Wiederholbarkeit von Edge-Cases. SelfDriveSim koppelt ISO 8855-Fahrdynamik mit OpenDRIVE-Straßengeometrien und ermöglicht realistische Multi-Agenten-Interaktionen bei Regen, Nebel und Gegenlicht.
Core Engineering Areas
- Hardware Ray-Traced LiDAR Simulation — Shooting millions of optical rays per second using GPU ray-tracing cores to calculate accurate returns from vehicle paint, retroreflective road signs, and asphalt.
- CMOS Camera Sensor Physics — Simulating the photon-to-electron conversion pipeline inside automotive image sensors, including temperature-dependent dark current noise.
- Radar Backscatter & Multipath Clutter — Computing Radar Cross Section (RCS) using physical optics approximations to capture multipath ghost reflections from guardrails and bridge decks.
Technical Articles
Related Cluster Architecture Specifications
- AutomotiveSDV — Full SDV Stack & Reference Architecture
- A2HCard — Agent-to-Human (A2H) Interface Cards & In-Cabin Autonomous Interaction Manifests
- A2HumanCard — Standardized In-Vehicle AI Agent Capability Discovery, Trust & Authorization Cards
- AIDrivenSynBio — AI-Driven Synthetic Biology for Automotive In-Cabin Air Purification, Bio-Engineered Pathogen Scavengers & Molecular Biosensors