Real-Time Telemetry

Vehicle 360 Vision Pipeline

Ultra-low latency video streaming integration for remote vehicle operation. Optimized for unstable network conditions.

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Deployment

Private Network Only

Technology Stack

C++WebRTCUnityFFmpeg

Key Features

Sub-150ms glass-to-glass latency target
Native C++ Unity render plugin
GPU hardware decoding (NVDEC where available)
Loss handling + jitter resilience strategies

Proof anchors

Constraints

Streaming 360-degree video from a moving vehicle to a remote operator with <150ms glass-to-glass latency over 4G LTE networks.
Must perform reliably over unstable cellular networks (4G/LTE).

Architecture decisions

We bypassed standard web streaming protocols in favor of a low-overhead transport and implemented native decoding paths via a Unity C++ plugin binding directly to FFmpeg for hardware-accelerated decode.
Sub-150ms glass-to-glass latency target
Native C++ Unity render plugin
GPU hardware decoding (NVDEC where available)
Loss handling + jitter resilience strategies

Deployment context

Ultra-low latency video streaming integration for remote vehicle operation.
Deployment is restricted (private network / non-public).

Validation approach (typical)

These are common validation checks for this class of system.

Performance profiling against the stated constraints (latency, boot time, throughput).
Failure-mode checks (network loss, power-cycle, restart recovery).
Regression checks for core workflows before release.

The Challenge

Streaming 360-degree video from a moving vehicle to a remote operator with <150ms glass-to-glass latency over 4G LTE networks.

The Solution

We bypassed standard web streaming protocols in favor of a low-overhead transport and implemented native decoding paths via a Unity C++ plugin binding directly to FFmpeg for hardware-accelerated decode.