Make Autonomous Driving "Get Communication Right"An EM Twin for V2X and Vehicle-Road-Cloud
High-level autonomous driving depends on the coordination of V2X, cellular, satellite, and Wi-Fi multipath links. Yet in complex scenarios such as urban canyons, tunnels, overpasses, and underground garages, the communication link is the most easily overlooked weak point in the ADAS/AD safety closed loop. MetaRadio's three-layer product portfolio delivers V2X channel simulation, HIL testing for T-Box/OBU/RSU, and road-network-scale EM twin capabilities within the vehicle-road-cloud system.
Communication Challenges for Intelligent Connected Vehicles
A Substantial Share of Autonomous Driving's "Long-Tail Scenarios" Hide in Communication
The functional-safety evolution of intelligent driving has already extended from perception and decision-making to communication. A single handover failure or one hidden blind spot can disable remote driving, cooperative lane change, and vehicle-road cooperative perception.
Overpasses and Tunnels
Multipath and handover issues at overpasses and tunnel entrances cannot be precisely characterized by traditional statistical models.
Urban Canyons
GNSS and cellular multipath problems arise simultaneously among high-rise blocks, affecting positioning and communication.
Garages and Campuses
Coverage and handover in indoor parking lots and low-rise campuses are a hidden threshold for high-level AVP automated valet parking.
Deploying the Three-Layer Portfolio in Autonomous Driving
Run "That Road" Ten Thousand Times in Simulation First
Lauraycs provides high-fidelity channels that jointly model the road network, vehicles, and RSUs. L2 reproduces real road tests with HIL, and L3 links with vehicle-road cooperative platforms to form a road-network-scale EM twin. The whole stack supports everything from single-vehicle terminal testing to intersection-, segment-, and city-scale road-network validation.
| Layer | Layer Name | Description |
|---|---|---|
| L1 | Ray Tracing / Lauraycs | Joint modeling of road network/tunnel/overpass/campus 3D + vehicle trajectories + multiple RSUs/base stations, outputting V2X Uu/PC5 channels. |
| L2 | Virtual Road Test / HIL | Drives T-Box/OBU/RSU HIL with real road-network channels, regressing handover, remote driving, and positioning KPIs. |
| L3 | EM Twin / EM-Twin | Intersection- and segment-scale EM twin, linked with vehicle-road cooperative platforms and ETC/MEC. |
End-to-End Workflow
Road Network and Vehicle Modeling
High-precision map + traffic-flow trajectories + live base station/RSU configuration.
V2X Channel Simulation
Joint time-varying multipath and handover across Uu (cellular) + PC5 (sidelink) dual links.
Vehicle-Side / Roadside HIL
The channel simulator drives T-Box/OBU/RSU, regressing handover/packet loss/positioning.
Road-Network Twin
EM-situation twin of intersections and segments, interfacing with vehicle-road cooperative platforms.
Industry-Specific Specs
| Standards Alignment | 3GPP C-V2X (Rel-14/15), NR V2X (Rel-16/17/18), IEEE 802.11p/bd, CCSA YD/T |
|---|---|
| Frequency Bands | Cellular FR1/FR2, 5.9 GHz sidelink, millimeter wave (long term), satellite-assisted |
| Scenario Library | Urban canyon, overpass, tunnel, bridge, campus, garage, highway, rural expressway |
| Mobility | Arbitrary programmable vehicle/UAV/RSU trajectories; supports multi-vehicle cooperation and platooning |
| HIL Targets | T-Box, OBU, RSU, 4D radar, millimeter-wave modules |
| KPI | PER, TPUT, RSRP/SINR, PC5 link stability, remote-driving RTT, AVP handover |
| ADAS Integration | Supports interfacing with SiL/HiL autonomous-driving simulation platforms (CARLA/Prescan/VTD) |
| Deployment | Lab + intersection/segment pilots; integrated with OEM automated test platforms |
Core Differentiation
Road-network-scale RT
Brings an entire intersection/segment into the simulation at once, avoiding single-base-station approximations.
Uu + PC5 dual link
A single simulation outputs both cellular and sidelink channels simultaneously.
ADAS-simulation ready
"Plugs" the communication side into existing autonomous-driving SiL/HiL workflows.
Rich scenario library
ADAS long-tail scenarios such as overpasses, tunnels, and garages are ready-built and reusable.
Repeatable road tests
Converts a field "near-miss" event into a repeatable script.
Domestically controllable
Forms a fully domestic V2X HIL solution together with domestic instrument and RSU vendors.
Typical Scenarios
T-Box / OBU Testing
Reproduces real road conditions and runs regression tests on terminal remote driving and cooperative lane change.
RSU Intersection Deployment
Simulates intersection coverage and handover performance for different RSU positions/antenna schemes.
Highway V2X
Evaluates link stability for high-speed mobility + handover/platooning in highway scenarios.
AVP Automated Valet Parking
Joint evaluation of EM coverage and positioning accuracy in garages + campuses.
Commercial Fleets
Remote-driving/platooning link assurance for logistics + mining + ports.
Vehicle-Road-Cloud Cooperation
End-to-end KPI simulation across MEC + intersection + vehicle side.
Run autonomous driving's "communication long tail" through the EM twin first.
乾径科技 MetaRadio · Autonomous Driving Vertical Solution