Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214496626> ?p ?o ?g. }
- W4214496626 endingPage "4717" @default.
- W4214496626 startingPage "4706" @default.
- W4214496626 abstract "In this study, a decision-making and motion planning controller with continuous action space is constructed in the highway driving scenario based on deep reinforcement learning. In the decision-making and planning problem, the goal is to achieve the safety, efficiency, and comfort of automated vehicles. In the driving scenario, the surrounding vehicles are controlled by the intelligent driver model and a general model (minimizing overall braking induced by lane change, MOBIL), which enables them to react to the environment and mimic the vehicle interactions on the highway. Given the uncertainties in the driving conditions, a specific deep reinforcement learning technique, called soft actor-critic, is used to solve the decision-making and planning problem with continuous action space. Simulation results show that the proposed method can solve the decision-making and motion planning problem in the interactive traffic environment to carry out safe lane-change maneuvers and cruise at high speed. In addition, two control policies are developed with different weights on safety, efficiency, and comfort." @default.
- W4214496626 created "2022-03-02" @default.
- W4214496626 creator A5061671556 @default.
- W4214496626 creator A5077232157 @default.
- W4214496626 creator A5077446544 @default.
- W4214496626 creator A5081251088 @default.
- W4214496626 date "2022-05-01" @default.
- W4214496626 modified "2023-10-06" @default.
- W4214496626 title "Highway Decision-Making and Motion Planning for Autonomous Driving via Soft Actor-Critic" @default.
- W4214496626 cites W1592601589 @default.
- W4214496626 cites W1965455100 @default.
- W4214496626 cites W2056877664 @default.
- W4214496626 cites W2242368318 @default.
- W4214496626 cites W2406067508 @default.
- W4214496626 cites W2783963507 @default.
- W4214496626 cites W2905334533 @default.
- W4214496626 cites W2908261578 @default.
- W4214496626 cites W2970065535 @default.
- W4214496626 cites W2972533956 @default.
- W4214496626 cites W2990417263 @default.
- W4214496626 cites W2991052353 @default.
- W4214496626 cites W3000596933 @default.
- W4214496626 cites W3016931720 @default.
- W4214496626 cites W3037606473 @default.
- W4214496626 cites W3044345353 @default.
- W4214496626 cites W3045161629 @default.
- W4214496626 cites W3088650053 @default.
- W4214496626 cites W3102777717 @default.
- W4214496626 cites W3105161010 @default.
- W4214496626 cites W3118868204 @default.
- W4214496626 cites W3120878013 @default.
- W4214496626 cites W3127561923 @default.
- W4214496626 cites W3163701808 @default.
- W4214496626 cites W3164233963 @default.
- W4214496626 cites W3176912151 @default.
- W4214496626 cites W3197248161 @default.
- W4214496626 cites W3197437737 @default.
- W4214496626 cites W3200064570 @default.
- W4214496626 doi "https://doi.org/10.1109/tvt.2022.3151651" @default.
- W4214496626 hasPublicationYear "2022" @default.
- W4214496626 type Work @default.
- W4214496626 citedByCount "14" @default.
- W4214496626 countsByYear W42144966262022 @default.
- W4214496626 countsByYear W42144966262023 @default.
- W4214496626 crossrefType "journal-article" @default.
- W4214496626 hasAuthorship W4214496626A5061671556 @default.
- W4214496626 hasAuthorship W4214496626A5077232157 @default.
- W4214496626 hasAuthorship W4214496626A5077446544 @default.
- W4214496626 hasAuthorship W4214496626A5081251088 @default.
- W4214496626 hasConcept C104114177 @default.
- W4214496626 hasConcept C113168747 @default.
- W4214496626 hasConcept C121332964 @default.
- W4214496626 hasConcept C126255220 @default.
- W4214496626 hasConcept C127413603 @default.
- W4214496626 hasConcept C133731056 @default.
- W4214496626 hasConcept C154945302 @default.
- W4214496626 hasConcept C171146098 @default.
- W4214496626 hasConcept C203479927 @default.
- W4214496626 hasConcept C2775924081 @default.
- W4214496626 hasConcept C2780791683 @default.
- W4214496626 hasConcept C33923547 @default.
- W4214496626 hasConcept C41008148 @default.
- W4214496626 hasConcept C44154836 @default.
- W4214496626 hasConcept C62520636 @default.
- W4214496626 hasConcept C6557445 @default.
- W4214496626 hasConcept C79487989 @default.
- W4214496626 hasConcept C81074085 @default.
- W4214496626 hasConcept C86803240 @default.
- W4214496626 hasConcept C90509273 @default.
- W4214496626 hasConcept C91575142 @default.
- W4214496626 hasConcept C97541855 @default.
- W4214496626 hasConceptScore W4214496626C104114177 @default.
- W4214496626 hasConceptScore W4214496626C113168747 @default.
- W4214496626 hasConceptScore W4214496626C121332964 @default.
- W4214496626 hasConceptScore W4214496626C126255220 @default.
- W4214496626 hasConceptScore W4214496626C127413603 @default.
- W4214496626 hasConceptScore W4214496626C133731056 @default.
- W4214496626 hasConceptScore W4214496626C154945302 @default.
- W4214496626 hasConceptScore W4214496626C171146098 @default.
- W4214496626 hasConceptScore W4214496626C203479927 @default.
- W4214496626 hasConceptScore W4214496626C2775924081 @default.
- W4214496626 hasConceptScore W4214496626C2780791683 @default.
- W4214496626 hasConceptScore W4214496626C33923547 @default.
- W4214496626 hasConceptScore W4214496626C41008148 @default.
- W4214496626 hasConceptScore W4214496626C44154836 @default.
- W4214496626 hasConceptScore W4214496626C62520636 @default.
- W4214496626 hasConceptScore W4214496626C6557445 @default.
- W4214496626 hasConceptScore W4214496626C79487989 @default.
- W4214496626 hasConceptScore W4214496626C81074085 @default.
- W4214496626 hasConceptScore W4214496626C86803240 @default.
- W4214496626 hasConceptScore W4214496626C90509273 @default.
- W4214496626 hasConceptScore W4214496626C91575142 @default.
- W4214496626 hasConceptScore W4214496626C97541855 @default.
- W4214496626 hasFunder F4320321001 @default.
- W4214496626 hasFunder F4320323172 @default.
- W4214496626 hasFunder F4320335787 @default.
- W4214496626 hasIssue "5" @default.
- W4214496626 hasLocation W42144966261 @default.