Multi-Sensor Target Localization Algorithm
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This algorithm represents a multi-sensor target localization method based on cross positioning utilizing the common perpendicular line approach. The core algorithmic principle leverages complementary and cross-information from different sensors to enhance target localization accuracy and robustness. Through implementation of the common perpendicular line method, the algorithm effectively resolves positioning errors and uncertainties among sensors using geometric optimization techniques. Key implementation aspects include sensor fusion algorithms, error covariance matrices, and iterative refinement procedures for coordinate calculation. The methodology finds applications across various domains such as autonomous driving systems and intelligent transportation networks, enabling precise target localization and navigation capabilities through optimized multi-sensor data integration.
- Login to Download
- 1 Credits