This project is an exercise that forms part of the semester report in the Advanced Algorithms course. It introduces the basics of graphs and shortest path search algorithms for weighted graph, which ...
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...
T-VOS has been integrated into the Marine AI technology platform developed for DARPA's NOMARS programme. NOMARS is being delivered by Serco in the shape of the demonstrator vessel USX-1 Defiant ...
The aim of this assignment is to get you acquainted with AI search techniques and how to derive heuristics in Pacman, as well as to understand how to model a state space problem with python. In ...
Abstract: The performance and efficiency of A* search algorithm heavily depend on the quality of the heuristic function. Therefore, designing an optimal heuristic function becomes the primary goal of ...
In dense anchorage areas, the challenge of navigation for Unmanned Surface Vehicles is particularly pronounced, especially regarding path safety and economy. A Risk-Aware Path Optimization Algorithm ...
Abstract: As Autonomous Guided Vehicles (AGV) are becoming more and more widely used, they demand safe and reliable autonomous navigation solutions to problems including how to plan a safe and ...
University of Calgary provides funding as a founding partner of The Conversation CA. University of Calgary provides funding as a member of The Conversation CA-FR. A public interest group filed a U.S.
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