Matches in SemOpenAlex for { <https://semopenalex.org/work/W2400790796> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2400790796 abstract "While traditional sensors provide accurate measurements of quantifiable information, humans provide better qualitative information and holistic assessments. Sensor fusion approaches that team humans and machines can take advantage of the benefits provided by each while mitigating the shortcomings. These two sensor sources can be fused together using Bayesian fusion, which assumes that there is a method of generating a probabilistic representation of the sensor measurement. This general framework of fusing estimates can also be applied to joint human-machine decision making. In the simple case, binary decisions can be fused by using a probability of taking an action versus inaction from each decision-making source. These are fused together to arrive at a final probability of taking an action, which would be taken if above a specified threshold. In the case of path planning, rather than binary decisions being fused, complex decisions can be fused by allowing the human and machine to interact with each other. For example, the human can draw a suggested path while the machine planning algorithm can refine it to avoid obstacles and remain dynamically feasible. Similarly, the human can revise a suggested path to achieve secondary goals not encoded in the algorithm such as avoiding dangerous areas in the environment." @default.
- W2400790796 created "2016-06-24" @default.
- W2400790796 creator A5037355311 @default.
- W2400790796 creator A5052533916 @default.
- W2400790796 creator A5057708292 @default.
- W2400790796 creator A5089294308 @default.
- W2400790796 date "2016-05-25" @default.
- W2400790796 modified "2023-10-18" @default.
- W2400790796 title "Human-machine teaming for effective estimation and path planning" @default.
- W2400790796 cites W2015612049 @default.
- W2400790796 cites W2103451132 @default.
- W2400790796 cites W2108437595 @default.
- W2400790796 cites W2126736494 @default.
- W2400790796 cites W2128491181 @default.
- W2400790796 cites W4229564761 @default.
- W2400790796 doi "https://doi.org/10.1117/12.2224121" @default.
- W2400790796 hasPublicationYear "2016" @default.
- W2400790796 type Work @default.
- W2400790796 sameAs 2400790796 @default.
- W2400790796 citedByCount "3" @default.
- W2400790796 countsByYear W24007907962018 @default.
- W2400790796 countsByYear W24007907962020 @default.
- W2400790796 countsByYear W24007907962022 @default.
- W2400790796 crossrefType "proceedings-article" @default.
- W2400790796 hasAuthorship W2400790796A5037355311 @default.
- W2400790796 hasAuthorship W2400790796A5052533916 @default.
- W2400790796 hasAuthorship W2400790796A5057708292 @default.
- W2400790796 hasAuthorship W2400790796A5089294308 @default.
- W2400790796 hasConcept C127413603 @default.
- W2400790796 hasConcept C154945302 @default.
- W2400790796 hasConcept C199360897 @default.
- W2400790796 hasConcept C201995342 @default.
- W2400790796 hasConcept C2777735758 @default.
- W2400790796 hasConcept C41008148 @default.
- W2400790796 hasConcept C81074085 @default.
- W2400790796 hasConcept C90509273 @default.
- W2400790796 hasConcept C96250715 @default.
- W2400790796 hasConceptScore W2400790796C127413603 @default.
- W2400790796 hasConceptScore W2400790796C154945302 @default.
- W2400790796 hasConceptScore W2400790796C199360897 @default.
- W2400790796 hasConceptScore W2400790796C201995342 @default.
- W2400790796 hasConceptScore W2400790796C2777735758 @default.
- W2400790796 hasConceptScore W2400790796C41008148 @default.
- W2400790796 hasConceptScore W2400790796C81074085 @default.
- W2400790796 hasConceptScore W2400790796C90509273 @default.
- W2400790796 hasConceptScore W2400790796C96250715 @default.
- W2400790796 hasLocation W24007907961 @default.
- W2400790796 hasOpenAccess W2400790796 @default.
- W2400790796 hasPrimaryLocation W24007907961 @default.
- W2400790796 hasRelatedWork W1660309994 @default.
- W2400790796 hasRelatedWork W1987886368 @default.
- W2400790796 hasRelatedWork W2023505575 @default.
- W2400790796 hasRelatedWork W2066883455 @default.
- W2400790796 hasRelatedWork W2093343611 @default.
- W2400790796 hasRelatedWork W2126380264 @default.
- W2400790796 hasRelatedWork W2359600231 @default.
- W2400790796 hasRelatedWork W2371125232 @default.
- W2400790796 hasRelatedWork W2380019117 @default.
- W2400790796 hasRelatedWork W3216757130 @default.
- W2400790796 isParatext "false" @default.
- W2400790796 isRetracted "false" @default.
- W2400790796 magId "2400790796" @default.
- W2400790796 workType "article" @default.