HomeRobotics & KinematicsSensor Fusion Redundancy vs Single-Sensor Failure

Sensor Fusion Redundancy vs Single-Sensor Failure

A ground robot drives an obstacle course while dust, glare and rain hazards blind individual sensors. Compare a camera-only robot, whose perception collapses whenever its one sensor is hit, against a sensor-fusion robot that re-weights toward whichever sensors stay reliable.

Robotics & Kinematics3DModerate60 FPS💧 Water
sensor-fusion-redundancy-vs-single-sensor-failure ↗ Open standalone

A ground robot navigates an obstacle course while dust clouds, direct-sun glare and rain hazards sweep through. Trigger a hazard, or replay the full dust→glare→rain sequence, and switch between a camera-only robot and a sensor-fusion robot (camera + LIDAR + ultrasonic, dynamically re-weighted by live confidence) to compare how each survives the exact same conditions.

⚙ Under the hood

A ground robot drives an obstacle course while dust, glare and rain hazards blind individual sensors. Compare a camera-only robot, whose perception collapses whenever its one sensor is hit, against a sensor-fusion robot that dynamically re-weights toward whichever sensors stay reliable and keeps navigating.

roboticssensor fusionredundancyautonomous navigationcameralidarultrasonicconfidence weighting

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

What did you find?

Add reproduction steps (optional)