Autonomous vehicles have made remarkable progress over the past decade, accumulating millions of miles and performing well on highways, in controlled test areas, and in select urban zones. However, ...

Abstract: The problem of optimal feedback planning under prediction uncertainties among static obstacles is considered. A discrete-time stochastic state transition model is defined over a continuous ...

Systems Approach Last year a couple of people forwarded to me the same article on a new method of finding shortest paths in networks. Dijkstra is a legend in computer science and his algorithm, which ...

This project implements a solution for the Travelling Salesman Problem (TSP) using bitmasking and dynamic programming. It calculates the shortest possible route that visits every city exactly once and ...

Abstract: In this research, we propose a novel denoising diffusion model based on shortest-path modeling that optimizes residual propagation to enhance both denoising efficiency and quality. Drawing ...