Fusing LiDAR and vision to generate high-quality reconstructions

Key Points

• The aim is to develop a framework that integrates LiDAR and vision data to enhance reconstruction quality.
• Developed a neural radiance field-based reconstruction framework.
• Merged LiDAR data with vision inputs for improved accuracy.
• Evaluated the geometric precision of the combined data.
• Achieved significant improvement in geometric accuracy of reconstructions.
• Successfully integrated data sources to generate high-quality outputs.