Connected Infrastructure Systems for Level 4/5 Autonomous Vehicles
AutonomyInfra bridges the gap between onboard vehicle perception and physical roadways: deploying edge-compute Roadside Units (RSUs) with multi-modal sensor fusion, real-time dynamic HD map synchronization, and sub-10ms collective perception broadcasts.
Autonomy Infrastructure Gateway Zonal Architecture
Central Controller: Autonomy Infrastructure Gateway — Multi-Sensor RSU & Edge MEC
Zonal Control Units & TSN Ring
- Elevated 3D LiDAR & 4K Vision RSU
- Dynamic HD Map Vector Layer
- 5G-V2X PC5 Collective Perception
- Signal Phase & Timing (SPaT) Engine
- Edge Micro-Datacenter Hub
Why Onboard Vehicle Sensors Alone Cannot Guarantee L4 Safety
Onboard cameras and LiDARs are blinded by blind intersections, large trucks, and severe weather. AutonomyInfra provides smart infrastructure sensing: elevated RSUs look over obstacles, broadcasting cooperative perception messages (CPM) that allow vehicles to 'see through' buildings.
Core Engineering Areas
- Roadside Unit Edge Perception — Deploying 64-beam LiDARs and multi-spectral cameras on traffic poles, fusing object tracks at the edge to broadcast high-confidence pedestrian alerts.
- Dynamic HD Map Vector Streaming — Streaming vector-based dynamic map tiles (Lanelet2, OpenDRIVE) updating construction cones, temporary lane closures, and friction changes in real time.
- SPaT Smart Traffic Signal Integration — Connecting municipal traffic controllers to V2I gateways broadcasting SAE J2735 SPaT and MAP messages to enable autonomous speed synchronization.
Technical Articles