Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376470267> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W4376470267 abstract "Recently, autonomous systems have been in rapid development. These systems are composed of various modules that enable automated navigation. The main generic modules consist of data acquisition, perceiving the environment, finding the optimal path and controlling the actuators. A core module of the automated vehicles is estimating where the vehicle is with respect to the path to be traversed, namely, vehicle localization. Localization has been applied through the past few years based on various sensors such as LiDARs, Cameras and GPS. Each sensor has its own strengths and weaknesses. For instance, Camera and LiDAR-Based traversed path estimation Odometry can function within GPS-denied environments. On the other hand, localization based on GPS can be used in environments where Cameras and LiDARs can fail to extract useful information, such as in a desert. For the case of automated vehicles, there is access to high power computers on board, which can help run complex and computationally expensive algorithms. However, for smaller platforms such as smart bikes, they are computationally limited, which can be a challenge especially for Visual Odometry Based algorithms. Given that there have been few researches exploring Monocular Visual Odometry (MVO) algorithms that are computationally efficient, this paper proposes the use of and enhancing a MVO module to estimate the path traversed by a smart bike platform in real-life. The obtained scores were compared to the output of the tested algorithm on a consumer grade PC to explore the trade-off between the gained speed up and reduced accuracy, the to validate the results." @default.
- W4376470267 created "2023-05-14" @default.
- W4376470267 creator A5011873967 @default.
- W4376470267 creator A5033975624 @default.
- W4376470267 creator A5091936782 @default.
- W4376470267 date "2023-02-19" @default.
- W4376470267 modified "2023-09-30" @default.
- W4376470267 title "Visual Path Odometry for Smart Autonomous E-Bikes" @default.
- W4376470267 doi "https://doi.org/10.1109/cpere56564.2023.10119592" @default.
- W4376470267 hasPublicationYear "2023" @default.
- W4376470267 type Work @default.
- W4376470267 citedByCount "0" @default.
- W4376470267 crossrefType "proceedings-article" @default.
- W4376470267 hasAuthorship W4376470267A5011873967 @default.
- W4376470267 hasAuthorship W4376470267A5033975624 @default.
- W4376470267 hasAuthorship W4376470267A5091936782 @default.
- W4376470267 hasConcept C117455697 @default.
- W4376470267 hasConcept C154945302 @default.
- W4376470267 hasConcept C179458375 @default.
- W4376470267 hasConcept C198613851 @default.
- W4376470267 hasConcept C199360897 @default.
- W4376470267 hasConcept C19966478 @default.
- W4376470267 hasConcept C2777735758 @default.
- W4376470267 hasConcept C31972630 @default.
- W4376470267 hasConcept C41008148 @default.
- W4376470267 hasConcept C49441653 @default.
- W4376470267 hasConcept C5799516 @default.
- W4376470267 hasConcept C60229501 @default.
- W4376470267 hasConcept C65909025 @default.
- W4376470267 hasConcept C76155785 @default.
- W4376470267 hasConcept C79403827 @default.
- W4376470267 hasConcept C86369673 @default.
- W4376470267 hasConcept C90509273 @default.
- W4376470267 hasConceptScore W4376470267C117455697 @default.
- W4376470267 hasConceptScore W4376470267C154945302 @default.
- W4376470267 hasConceptScore W4376470267C179458375 @default.
- W4376470267 hasConceptScore W4376470267C198613851 @default.
- W4376470267 hasConceptScore W4376470267C199360897 @default.
- W4376470267 hasConceptScore W4376470267C19966478 @default.
- W4376470267 hasConceptScore W4376470267C2777735758 @default.
- W4376470267 hasConceptScore W4376470267C31972630 @default.
- W4376470267 hasConceptScore W4376470267C41008148 @default.
- W4376470267 hasConceptScore W4376470267C49441653 @default.
- W4376470267 hasConceptScore W4376470267C5799516 @default.
- W4376470267 hasConceptScore W4376470267C60229501 @default.
- W4376470267 hasConceptScore W4376470267C65909025 @default.
- W4376470267 hasConceptScore W4376470267C76155785 @default.
- W4376470267 hasConceptScore W4376470267C79403827 @default.
- W4376470267 hasConceptScore W4376470267C86369673 @default.
- W4376470267 hasConceptScore W4376470267C90509273 @default.
- W4376470267 hasLocation W43764702671 @default.
- W4376470267 hasOpenAccess W4376470267 @default.
- W4376470267 hasPrimaryLocation W43764702671 @default.
- W4376470267 hasRelatedWork W197633916 @default.
- W4376470267 hasRelatedWork W2003315864 @default.
- W4376470267 hasRelatedWork W2085689676 @default.
- W4376470267 hasRelatedWork W2947241406 @default.
- W4376470267 hasRelatedWork W2971051170 @default.
- W4376470267 hasRelatedWork W3004363006 @default.
- W4376470267 hasRelatedWork W3039617376 @default.
- W4376470267 hasRelatedWork W3121134787 @default.
- W4376470267 hasRelatedWork W4309676925 @default.
- W4376470267 hasRelatedWork W813170165 @default.
- W4376470267 isParatext "false" @default.
- W4376470267 isRetracted "false" @default.
- W4376470267 workType "article" @default.