Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313203484> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4313203484 abstract "The automation of processes, especially in the automotive sector, has experienced an increase in safety and efficiency, and at the same time, it reduces execution times and human errors. Nowadays, conventional logistics has experimented with significant change. Those go from individual transport services using personal vehicles, passing through internal logistics of the warehouse, and finishing with the delivery of goods in different last mile transport and circumstances with mobile robots (e.g. Amazon logistic centers). However, the automation solutions for heavy-duty vehicles during loading and unloading processes are still a research challenge. This work presents a trajectory planning which targets automated semi-trailer trucks. The algorithm considers turning under difficult and tight circumstances, as well as reversing maneuvers. It is based on RRT (Rapidly exploring Random Trees) planning. The validation was done in a simulation environment considering a logistic warehouse. The solution generates the best possible path in a short time (under 500 milliseconds), and it is a promising result for a near-future real-deployment." @default.
- W4313203484 created "2023-01-06" @default.
- W4313203484 creator A5054156074 @default.
- W4313203484 creator A5054697958 @default.
- W4313203484 creator A5087331860 @default.
- W4313203484 date "2022-11-14" @default.
- W4313203484 modified "2023-10-17" @default.
- W4313203484 title "RRT Trajectory Planning Approach For Automated Semi-trailer truck Parking" @default.
- W4313203484 cites W1978367897 @default.
- W4313203484 cites W1979142444 @default.
- W4313203484 cites W1995524500 @default.
- W4313203484 cites W2062004655 @default.
- W4313203484 cites W2344053488 @default.
- W4313203484 cites W2765348817 @default.
- W4313203484 cites W2883700531 @default.
- W4313203484 cites W2972508180 @default.
- W4313203484 cites W2991108382 @default.
- W4313203484 cites W2995254745 @default.
- W4313203484 cites W3000354080 @default.
- W4313203484 cites W3106613440 @default.
- W4313203484 cites W3113447964 @default.
- W4313203484 cites W3120148576 @default.
- W4313203484 cites W3120734124 @default.
- W4313203484 cites W3134283423 @default.
- W4313203484 cites W3215507253 @default.
- W4313203484 cites W4288065119 @default.
- W4313203484 doi "https://doi.org/10.1109/icves56941.2022.9986832" @default.
- W4313203484 hasPublicationYear "2022" @default.
- W4313203484 type Work @default.
- W4313203484 citedByCount "1" @default.
- W4313203484 countsByYear W43132034842023 @default.
- W4313203484 crossrefType "proceedings-article" @default.
- W4313203484 hasAuthorship W4313203484A5054156074 @default.
- W4313203484 hasAuthorship W4313203484A5054697958 @default.
- W4313203484 hasAuthorship W4313203484A5087331860 @default.
- W4313203484 hasConcept C105339364 @default.
- W4313203484 hasConcept C111919701 @default.
- W4313203484 hasConcept C115901376 @default.
- W4313203484 hasConcept C121332964 @default.
- W4313203484 hasConcept C127413603 @default.
- W4313203484 hasConcept C1276947 @default.
- W4313203484 hasConcept C13662910 @default.
- W4313203484 hasConcept C146978453 @default.
- W4313203484 hasConcept C154945302 @default.
- W4313203484 hasConcept C171146098 @default.
- W4313203484 hasConcept C22212356 @default.
- W4313203484 hasConcept C2779101595 @default.
- W4313203484 hasConcept C31258907 @default.
- W4313203484 hasConcept C41008148 @default.
- W4313203484 hasConcept C42475967 @default.
- W4313203484 hasConcept C44154836 @default.
- W4313203484 hasConcept C52121051 @default.
- W4313203484 hasConcept C526921623 @default.
- W4313203484 hasConcept C78519656 @default.
- W4313203484 hasConcept C81074085 @default.
- W4313203484 hasConcept C90509273 @default.
- W4313203484 hasConceptScore W4313203484C105339364 @default.
- W4313203484 hasConceptScore W4313203484C111919701 @default.
- W4313203484 hasConceptScore W4313203484C115901376 @default.
- W4313203484 hasConceptScore W4313203484C121332964 @default.
- W4313203484 hasConceptScore W4313203484C127413603 @default.
- W4313203484 hasConceptScore W4313203484C1276947 @default.
- W4313203484 hasConceptScore W4313203484C13662910 @default.
- W4313203484 hasConceptScore W4313203484C146978453 @default.
- W4313203484 hasConceptScore W4313203484C154945302 @default.
- W4313203484 hasConceptScore W4313203484C171146098 @default.
- W4313203484 hasConceptScore W4313203484C22212356 @default.
- W4313203484 hasConceptScore W4313203484C2779101595 @default.
- W4313203484 hasConceptScore W4313203484C31258907 @default.
- W4313203484 hasConceptScore W4313203484C41008148 @default.
- W4313203484 hasConceptScore W4313203484C42475967 @default.
- W4313203484 hasConceptScore W4313203484C44154836 @default.
- W4313203484 hasConceptScore W4313203484C52121051 @default.
- W4313203484 hasConceptScore W4313203484C526921623 @default.
- W4313203484 hasConceptScore W4313203484C78519656 @default.
- W4313203484 hasConceptScore W4313203484C81074085 @default.
- W4313203484 hasConceptScore W4313203484C90509273 @default.
- W4313203484 hasFunder F4320321043 @default.
- W4313203484 hasLocation W43132034841 @default.
- W4313203484 hasOpenAccess W4313203484 @default.
- W4313203484 hasPrimaryLocation W43132034841 @default.
- W4313203484 hasRelatedWork W1978510931 @default.
- W4313203484 hasRelatedWork W2062073241 @default.
- W4313203484 hasRelatedWork W4312768495 @default.
- W4313203484 hasRelatedWork W621609123 @default.
- W4313203484 hasRelatedWork W632553778 @default.
- W4313203484 hasRelatedWork W639689800 @default.
- W4313203484 hasRelatedWork W653163698 @default.
- W4313203484 hasRelatedWork W805804477 @default.
- W4313203484 hasRelatedWork W831136342 @default.
- W4313203484 hasRelatedWork W2999681219 @default.
- W4313203484 isParatext "false" @default.
- W4313203484 isRetracted "false" @default.
- W4313203484 workType "article" @default.