● TERAFLOW
ENVI中文
Road corridor paired with a traffic digital twin

Navin Research × TeraFlow

Research for traffic systems that must work.

Navin Research studies perception, tracking, traffic models and decision support under stated conditions.

01FALSIFIABLE02INSPECTABLE03DEPLOYMENT-BOUND

Research map

Seven stages from signal to infrastructure handoff.

  1. 01

    Sensor fusion

    Align selected camera, LiDAR and road context in time and space.

  2. 02

    3D perception

    Produce spatial detections with confidence and provenance.

  3. 03

    Multi-object tracking

    Associate detections into trajectories while retaining uncertainty.

  4. 04

    Traffic digital twin

    Compose tracks, zones, events and infrastructure state.

  5. 05

    Traffic agents

    Evaluate bounded options without conflating recommendation and action.

  6. 06

    Edge AI

    Place selected processing near the road and state what remains central.

  7. 07

    Infrastructure handoff

    Expose reviewed outputs through project-defined interfaces.

Aerial view of an urban road network

Active directions

Three connected research tracks.

01

Perception under real road conditions

Occlusion, sensor disagreement, calibration drift and changing scene geometry.

02

Traffic-state representation

Stable trajectories, event semantics and digital twins that operators can inspect.

03

Decision support with boundaries

Recommendations that preserve human approval and external-system ownership.

Evidence boundary

Evidence before claims.

Website diagrams and overlays are explanatory or simulated unless marked otherwise. Deployment scope and performance are confirmed only through project evidence.

Next step

Bring us a clear traffic-system question.

Research starts with the required decision, available data and a test that can succeed or fail.

Discuss research