ASPIRe: Informative Trajectory Planner for Target Search and Tracking
The author proposes ASPIRe, an informative trajectory planning approach for mobile target search and tracking in cluttered environments. By utilizing sigma point-based mutual information approximation, ASPIRe outperforms benchmark methods in terms of search efficiency and estimation accuracy.
ASPIRe: Informative Trajectory Planner for Target Search and Tracking
ASPIRe proposes an informative trajectory planning approach for mobile target search and tracking in cluttered environments, achieving real-time computation and outperforming benchmark methods.
ASPIRe: Informative Trajectory Planner for Target Search and Tracking
ASPIRe proposes an adaptive particle filter tree with sigma point-based mutual information reward approximation for mobile target search and tracking in cluttered environments.
ASPIRe: Informative Trajectory Planner with Mutual Information Approximation
ASPIRe bietet eine effiziente und präzise Methode für die mobile Zielsuche und -verfolgung in unübersichtlichen Umgebungen.
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