Research Explorer

Project

Multi-sensor Fusion Based Environment Perception for Autonomous Guided Vehicle.
Code
01SC1522
Duration
01 October 2022 → 30 September 2026
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Engineering and technology
    • Intelligent vehicles
Keywords
Sensor fusion LiDar Event camera Early fusion
 
Project description
 

The aim of the project is to develop real-time sensor fusion algorithms to provide effective situational awareness for autonomous guided vehicles in diverse environmental conditions. The research will focus on intermediate and cooperative fusion, in which the sensor data is mostly processed near the sensor, and on reducing the reaction time in the presence of danger. Helping drivers deal with complex traffic environments and improving the traffic safety is the ultimate benefit for society.