FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3000193750> ?p ?o ?g. }

• W3000193750 endingPage "1000" @default.
• W3000193750 startingPage "990" @default.
• W3000193750 abstract "Exiting from highways in crowded dynamic traffic is an important path planning task for autonomous vehicles (AVs). This task can be challenging because of the uncertain motion of surrounding vehicles and limited sensing/observing window. Conventional path planning methods usually compute a mandatory lane change (MLC) command, but the lane change behavior (e.g., vehicle speed and gap acceptance) should also adapt to traffic conditions and the urgency for exiting. In this paper, we propose a reinforcement learning-enhanced highway-exit planner. The learning-based strategy learns from past failures and adjusts the vehicle motion when the AV fails to exit. The reinforcement learning is based on the Monte Carlo tree search (MCTS) approach. The proposed learning-enhanced highway-exit planner is tested 6000 times in stochastic simulations. The results indicate that the proposed planner achieves a higher probability of successful highway exiting than a benchmark MLC planner." @default.
• W3000193750 created "2020-01-23" @default.
• W3000193750 creator A5009072257 @default.
• W3000193750 creator A5011184498 @default.
• W3000193750 creator A5016651437 @default.
• W3000193750 creator A5025132563 @default.
• W3000193750 creator A5037644321 @default.
• W3000193750 creator A5056009561 @default.
• W3000193750 creator A5090727900 @default.
• W3000193750 date "2021-02-01" @default.
• W3000193750 modified "2023-09-30" @default.
• W3000193750 title "Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning" @default.
• W3000193750 cites W1511243153 @default.
• W3000193750 cites W1965455100 @default.
• W3000193750 cites W2003642326 @default.
• W3000193750 cites W2007700466 @default.
• W3000193750 cites W2055501135 @default.
• W3000193750 cites W2056877664 @default.
• W3000193750 cites W2067530543 @default.
• W3000193750 cites W2075779548 @default.
• W3000193750 cites W2090023516 @default.
• W3000193750 cites W2126316555 @default.
• W3000193750 cites W2145989380 @default.
• W3000193750 cites W2306260890 @default.
• W3000193750 cites W2406067508 @default.
• W3000193750 cites W2505763307 @default.
• W3000193750 cites W2517236235 @default.
• W3000193750 cites W2537623947 @default.
• W3000193750 cites W2581357197 @default.
• W3000193750 cites W2594201198 @default.
• W3000193750 cites W2606056204 @default.
• W3000193750 cites W2620276187 @default.
• W3000193750 cites W276602078 @default.
• W3000193750 cites W2768298999 @default.
• W3000193750 cites W2791870978 @default.
• W3000193750 cites W2792870474 @default.
• W3000193750 cites W2891526102 @default.
• W3000193750 cites W2902765948 @default.
• W3000193750 cites W2913416895 @default.
• W3000193750 cites W2923119547 @default.
• W3000193750 cites W3148740559 @default.
• W3000193750 doi "https://doi.org/10.1109/tits.2019.2961739" @default.
• W3000193750 hasPublicationYear "2021" @default.
• W3000193750 type Work @default.
• W3000193750 sameAs 3000193750 @default.
• W3000193750 citedByCount "29" @default.
• W3000193750 countsByYear W30001937502020 @default.
• W3000193750 countsByYear W30001937502021 @default.
• W3000193750 countsByYear W30001937502022 @default.
• W3000193750 countsByYear W30001937502023 @default.
• W3000193750 crossrefType "journal-article" @default.
• W3000193750 hasAuthorship W3000193750A5009072257 @default.
• W3000193750 hasAuthorship W3000193750A5011184498 @default.
• W3000193750 hasAuthorship W3000193750A5016651437 @default.
• W3000193750 hasAuthorship W3000193750A5025132563 @default.
• W3000193750 hasAuthorship W3000193750A5037644321 @default.
• W3000193750 hasAuthorship W3000193750A5056009561 @default.
• W3000193750 hasAuthorship W3000193750A5090727900 @default.
• W3000193750 hasConcept C105795698 @default.
• W3000193750 hasConcept C113174947 @default.
• W3000193750 hasConcept C127413603 @default.
• W3000193750 hasConcept C13280743 @default.
• W3000193750 hasConcept C134306372 @default.
• W3000193750 hasConcept C154945302 @default.
• W3000193750 hasConcept C171146098 @default.
• W3000193750 hasConcept C185798385 @default.
• W3000193750 hasConcept C19499675 @default.
• W3000193750 hasConcept C199360897 @default.
• W3000193750 hasConcept C201995342 @default.
• W3000193750 hasConcept C205649164 @default.
• W3000193750 hasConcept C2776999362 @default.
• W3000193750 hasConcept C2777735758 @default.
• W3000193750 hasConcept C2780451532 @default.
• W3000193750 hasConcept C33923547 @default.
• W3000193750 hasConcept C41008148 @default.
• W3000193750 hasConcept C44154836 @default.
• W3000193750 hasConcept C46149586 @default.
• W3000193750 hasConcept C79487989 @default.
• W3000193750 hasConcept C81074085 @default.
• W3000193750 hasConcept C90509273 @default.
• W3000193750 hasConcept C97541855 @default.
• W3000193750 hasConceptScore W3000193750C105795698 @default.
• W3000193750 hasConceptScore W3000193750C113174947 @default.
• W3000193750 hasConceptScore W3000193750C127413603 @default.
• W3000193750 hasConceptScore W3000193750C13280743 @default.
• W3000193750 hasConceptScore W3000193750C134306372 @default.
• W3000193750 hasConceptScore W3000193750C154945302 @default.
• W3000193750 hasConceptScore W3000193750C171146098 @default.
• W3000193750 hasConceptScore W3000193750C185798385 @default.
• W3000193750 hasConceptScore W3000193750C19499675 @default.
• W3000193750 hasConceptScore W3000193750C199360897 @default.
• W3000193750 hasConceptScore W3000193750C201995342 @default.
• W3000193750 hasConceptScore W3000193750C205649164 @default.
• W3000193750 hasConceptScore W3000193750C2776999362 @default.
• W3000193750 hasConceptScore W3000193750C2777735758 @default.
• W3000193750 hasConceptScore W3000193750C2780451532 @default.
• W3000193750 hasConceptScore W3000193750C33923547 @default.
• W3000193750 hasConceptScore W3000193750C41008148 @default.

• next