Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract Path planning for autonomous vehicles in dynamic grid environments must balance reliability, efficiency, smoothness, safety, and rapid recovery after map changes. We propose LKSD-PRRT*, a modular framework built on APF-PRRT* that integrates learning-guided sampling (LG), multi-objective incremental rewiring (KMO), three-stage smoothing (SMO), and dynamic path repair (DPR).
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
