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- W2578058145 abstract "PreCrash problem of Intelligent Control of autonomous vehicles robot is a very complex problem, especially vehicle pre-crash scenariws and at points of intersections in real-time environmenta. This Paper presents a novel architecture of Intelligent adaptive control for autonomous vehicle agent that depends on Artificial Intelligence Techniques that applies case-based reasoning techniques, where Parallel CBR Engines are implemented for different scenarios' of PreCrash problem and sub-problems of intersection safety and collision avoidance, in the higher level of the controller and A∗ path planner for path planning and at lower-levels it also uses some features of autonomous vehicle dynamics. Moreover, the planner is enhanced by combination of Case-Based Planner. All modules are presented and discussed. Experimental results are conducted in the framework of Webots autonomous vehicle tool and overall results are good for the CBR Engine for Adaptive control and also for the hybrid Case-Based Planner, A∗ and D∗ motion planner along with conclusion and future work." @default.
- W2578058145 created "2017-01-26" @default.
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- W2578058145 date "2016-11-01" @default.
- W2578058145 modified "2023-09-26" @default.
- W2578058145 title "Intelligent adaptive precrash control for autonmous vehicle agents (CBR Engine & hybrid A* path planner)" @default.
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- W2578058145 doi "https://doi.org/10.1109/icamechs.2016.7813486" @default.
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