Matches in SemOpenAlex for { <https://semopenalex.org/work/W2901631373> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2901631373 abstract "In this paper, we present a probabilistic collision threat assessment algorithm for autonomous driving at unsignalized T-junctions that assesses a given traffic situation at an unsignalized T-junction reliably and robustly for an autonomous vehicle to pass through the unsignalized T-junction safely. To this end, the presented algorithm employs a detailed digital map to predict future paths of observed vehicles and then uses the predicted future paths to identify potential threats—observed vehicles that have the potential to pose a threat to the autonomous vehicle. Next, it establishes vehicle-to-vehicle collision relations with the potential threats. It then employs Bayesian networks and time window filtering to assess the potential threats reliably and robustly regarding the possibility of collision, even under uncertain and incomplete noise data. We have tested and evaluated the presented algorithm through in-vehicle testing at unsignalized T-junctions regarding two representative maneuvers: merging into traffic on the major road and being merged by traffic on the minor road. In-vehicle testing results show that the performance of the presented algorithm is sufficiently reliable to be used in decision-making for autonomous driving at unsignalized T-junctions, in terms of reliability and robustness." @default.
- W2901631373 created "2018-11-29" @default.
- W2901631373 creator A5016750309 @default.
- W2901631373 date "2018-10-01" @default.
- W2901631373 modified "2023-09-25" @default.
- W2901631373 title "Probabilistic Collision Threat Assessment for Autonomous Driving at Unsignalized T-Junctions: Merging into Traffic on the Major Road and Being Merged by Traffic on the Minor Road" @default.
- W2901631373 cites W1484590959 @default.
- W2901631373 cites W1827564382 @default.
- W2901631373 cites W1906001752 @default.
- W2901631373 cites W1989499286 @default.
- W2901631373 cites W2003215771 @default.
- W2901631373 cites W2003993399 @default.
- W2901631373 cites W2028592553 @default.
- W2901631373 cites W2047495236 @default.
- W2901631373 cites W2079496932 @default.
- W2901631373 cites W2085842743 @default.
- W2901631373 cites W2095904408 @default.
- W2901631373 cites W2097936366 @default.
- W2901631373 cites W2111299724 @default.
- W2901631373 cites W2121806728 @default.
- W2901631373 cites W2126639569 @default.
- W2901631373 cites W2137514195 @default.
- W2901631373 cites W2164617893 @default.
- W2901631373 cites W2166813035 @default.
- W2901631373 cites W2338799994 @default.
- W2901631373 cites W2579911499 @default.
- W2901631373 cites W2607873356 @default.
- W2901631373 cites W2738503152 @default.
- W2901631373 cites W3142587173 @default.
- W2901631373 cites W626905226 @default.
- W2901631373 doi "https://doi.org/10.1109/ictc.2018.8539672" @default.
- W2901631373 hasPublicationYear "2018" @default.
- W2901631373 type Work @default.
- W2901631373 sameAs 2901631373 @default.
- W2901631373 citedByCount "0" @default.
- W2901631373 crossrefType "proceedings-article" @default.
- W2901631373 hasAuthorship W2901631373A5016750309 @default.
- W2901631373 hasConcept C104317684 @default.
- W2901631373 hasConcept C121332964 @default.
- W2901631373 hasConcept C121704057 @default.
- W2901631373 hasConcept C127413603 @default.
- W2901631373 hasConcept C154945302 @default.
- W2901631373 hasConcept C163258240 @default.
- W2901631373 hasConcept C185592680 @default.
- W2901631373 hasConcept C22212356 @default.
- W2901631373 hasConcept C38652104 @default.
- W2901631373 hasConcept C41008148 @default.
- W2901631373 hasConcept C43214815 @default.
- W2901631373 hasConcept C49937458 @default.
- W2901631373 hasConcept C55493867 @default.
- W2901631373 hasConcept C62520636 @default.
- W2901631373 hasConcept C63479239 @default.
- W2901631373 hasConceptScore W2901631373C104317684 @default.
- W2901631373 hasConceptScore W2901631373C121332964 @default.
- W2901631373 hasConceptScore W2901631373C121704057 @default.
- W2901631373 hasConceptScore W2901631373C127413603 @default.
- W2901631373 hasConceptScore W2901631373C154945302 @default.
- W2901631373 hasConceptScore W2901631373C163258240 @default.
- W2901631373 hasConceptScore W2901631373C185592680 @default.
- W2901631373 hasConceptScore W2901631373C22212356 @default.
- W2901631373 hasConceptScore W2901631373C38652104 @default.
- W2901631373 hasConceptScore W2901631373C41008148 @default.
- W2901631373 hasConceptScore W2901631373C43214815 @default.
- W2901631373 hasConceptScore W2901631373C49937458 @default.
- W2901631373 hasConceptScore W2901631373C55493867 @default.
- W2901631373 hasConceptScore W2901631373C62520636 @default.
- W2901631373 hasConceptScore W2901631373C63479239 @default.
- W2901631373 hasLocation W29016313731 @default.
- W2901631373 hasOpenAccess W2901631373 @default.
- W2901631373 hasPrimaryLocation W29016313731 @default.
- W2901631373 hasRelatedWork W1575659177 @default.
- W2901631373 hasRelatedWork W1969242413 @default.
- W2901631373 hasRelatedWork W2096088351 @default.
- W2901631373 hasRelatedWork W2147730700 @default.
- W2901631373 hasRelatedWork W2226500711 @default.
- W2901631373 hasRelatedWork W2363475415 @default.
- W2901631373 hasRelatedWork W2387494631 @default.
- W2901631373 hasRelatedWork W2736312466 @default.
- W2901631373 hasRelatedWork W3189781965 @default.
- W2901631373 hasRelatedWork W659580948 @default.
- W2901631373 isParatext "false" @default.
- W2901631373 isRetracted "false" @default.
- W2901631373 magId "2901631373" @default.
- W2901631373 workType "article" @default.