Architecting deterministic edge corridors for real-time haptic force feedback and high-definition video steering.
Autonomous driving systems encounter unexpected edge scenarios—such as police officers gesturing manually in construction zones—where Level 4 AI cannot determine a safe path. Teleoperation is the required safety fallback, but conventional 4G/5G networks introduce 50–120ms delays, making remote driving dangerously unstable.
AdvancedV2X implements deterministic 3GPP Rel-18 Time-Sensitive Networking (TSN) over high-frequency mmWave sidelink and roadside edge compute nodes. Physical steering resistance, road vibrations, and tire slip are captured and transmitted back to the remote teleoperator steering rig within 0.4 milliseconds. ``` +-----------------------+ Sub-0.5ms URLLC +-----------------------+ | Remote Tele-Operator | --------------------------------> | Stranded Level 4 AV | | Force-Feedback Rig | <-------------------------------- | Steering & Haptic Feel| +-----------------------+ Deterministic Stream +-----------------------+ ```
During testbed trials with high-speed obstacle evasion, remote drivers using AdvancedV2X achieved driving fidelity and lap times indistinguishable from on-vehicle drivers.