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- W4225921241 abstract "This paper provide an overview of the emerging trends and challenges in the field of decision-making of unmanned ground vehicles. Specifically, four important decision-making methods are analyzed, including the classical rule-based, the decision tree based, reinforcement learning based, and POMDP based decision-making system. Furthermore, we compare the pros and cons among these methods, and analyze the difficulties encountered in current decision-making systems. On the basis of these comparison and analysis, we suggest that the integration of different methods could improve the performance of the decision-making systems. Finally, we discuss the future development for the decision-making system and recommend to combine graph-based knowledge representation and learning-based method to tackle the complex task and traffic information in the decision-making process." @default.
- W4225921241 created "2022-05-05" @default.
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- W4225921241 date "2022-01-01" @default.
- W4225921241 modified "2023-10-18" @default.
- W4225921241 title "Review and Outlook of Decision-Making Methods in Unmanned Ground Vehicles" @default.
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- W4225921241 doi "https://doi.org/10.1007/978-981-16-9492-9_287" @default.
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