Multi-sensor Fusion Technology

  • Data-level fusion
  • Feature-level fusion
  • Decision-level fusion

Typical Sensor Combinations

  • Vision + Radar: All-weather detection
  • LiDAR + IMU: High-precision positioning
  • Ultrasonic + Infrared: Near-range obstacle detection

Application Scenarios

  • Autonomous Driving: 360° environment perception, obstacle detection
  • Industrial Robots: Precision assembly
  • Smart Security: Anomaly behavior detection

Technical Challenges

  • Time synchronization
  • Coordinate system registration
  • Fault tolerance processing
  • Real-time data processing
  • Deep learning fusion algorithms
  • Edge computing and cloud collaboration
  • Sensor self-calibration technology
  • Adaptive sensor selection mechanism

Typical Solutions

  • Camera + LiDAR fusion
  • Millimeter-wave radar + vision fusion
  • Multi-camera fusion
  • IMU + vision perception (SLAM, video stabilization, object detection enhancement)