Latent Policy Optimization for Urban Low-Altitude Safety

Abstract

This review examines latent policy optimization for urban low-altitude safety through an evidence-centered design lens. The analysis asks how rerouting, detect-and-avoid, and recovery should exchange authority. It treats the relevant unit as a complete pathway from data or physical observations to representation, model output, human interpretation, and accountable action. The cited literature is synthesized without inventing experiments or unreported performance values. Particular attention is given to nominally independent safeguards sharing a failure source. The review argues that credible translation requires explicit evidence boundaries, uncertainty-aware evaluation, author-visible traceability, and a documented route for intervention. The resulting framework supports urban UAV operations while distinguishing component promise from system readiness.