Obstacle Recognition and Path Planning of UAV Flight
Aiming at the problem of classification and detection of obstacles and flight path planning in the process of UAV obstacle avoidance, YOLO is used the algorithm detects the category information of obstacles. Based on the construction of indoor 3D maps, the TSP algorithm is used to detect obstacles....
Gespeichert in:
| Veröffentlicht in: | 2021 6th International Conference on Control, Robotics and Cybernetics (CRC) S. 225 - 229 |
|---|---|
| 1. Verfasser: | |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
09.10.2021
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Aiming at the problem of classification and detection of obstacles and flight path planning in the process of UAV obstacle avoidance, YOLO is used the algorithm detects the category information of obstacles. Based on the construction of indoor 3D maps, the TSP algorithm is used to detect obstacles. Research on the path planning of man-machines, establish the control mathematical model of obstacle avoidance flight under hypothetical scenarios, and obtain the best flight path through simulation analysis and comparison. |
|---|---|
| AbstractList | Aiming at the problem of classification and detection of obstacles and flight path planning in the process of UAV obstacle avoidance, YOLO is used the algorithm detects the category information of obstacles. Based on the construction of indoor 3D maps, the TSP algorithm is used to detect obstacles. Research on the path planning of man-machines, establish the control mathematical model of obstacle avoidance flight under hypothetical scenarios, and obtain the best flight path through simulation analysis and comparison. |
| Author | Zhang, Zhenwei |
| Author_xml | – sequence: 1 givenname: Zhenwei surname: Zhang fullname: Zhang, Zhenwei email: zzw0912@foxmail.com organization: Shanghai Zhongqiao Vocational and Technical University,Intelligent Manufacturing Institute,Shanghai,China |
| BookMark | eNotj81KAzEURiPYha19AhHyAjPm5udmsiyDVaHQUqzbkszcTANjRtpsfHsLdvUtDhzON2f3ecrE2DOIGkC4l3bfGmkRaykk1A6lAKPv2BwQjZZaWfHA9DZciu9G4nvqpiGnkqbMfe75zpcT340-55QHPkV-WH3x9ZiGU3lks-jHCy1vu2CH9etn-15ttm8f7WpTJYCmVDaGiCCD7QjBS4d9dGiaJoQOQwQRqDPXlKisk7on50hZUhj6qJsrjmrBnv69iYiOP-f07c-_x9sR9QfHN0Hh |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/CRC52766.2021.9620154 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 1665424370 9781665424370 |
| EndPage | 229 |
| ExternalDocumentID | 9620154 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IL CBEJK RIE RIL |
| ID | FETCH-LOGICAL-i118t-7fbf612b7ce61a296df96588bbc6bf10bec5665f37924de99e37e36bdf48f10f3 |
| IEDL.DBID | RIE |
| IngestDate | Thu Jun 29 18:37:54 EDT 2023 |
| IsPeerReviewed | false |
| IsScholarly | false |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i118t-7fbf612b7ce61a296df96588bbc6bf10bec5665f37924de99e37e36bdf48f10f3 |
| PageCount | 5 |
| ParticipantIDs | ieee_primary_9620154 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-Oct.-9 |
| PublicationDateYYYYMMDD | 2021-10-09 |
| PublicationDate_xml | – month: 10 year: 2021 text: 2021-Oct.-9 day: 09 |
| PublicationDecade | 2020 |
| PublicationTitle | 2021 6th International Conference on Control, Robotics and Cybernetics (CRC) |
| PublicationTitleAbbrev | CRC |
| PublicationYear | 2021 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| Score | 1.7724415 |
| Snippet | Aiming at the problem of classification and detection of obstacles and flight path planning in the process of UAV obstacle avoidance, YOLO is used the... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 225 |
| SubjectTerms | Analytical models Classification algorithms Collision avoidance Mathematical models object recognition algorithm Path planning Robots Three-dimensional displays TSP algorithm UAV YOLO algorithm |
| Title | Obstacle Recognition and Path Planning of UAV Flight |
| URI | https://ieeexplore.ieee.org/document/9620154 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NSwMxEB3a4sGTSit-k4NH0-5udpPNUYqLp1qKld7KJplAQXaltv5-J9ttRfDiLWQCycwc5k0yLwNwb7RwJFDc0jF5mieOl5SGcQK_WYTCJl6bptmEmkzyxUJPO_Bw4MIgYlN8hsMwbN7yXW234apspGUSQn4XukqpHVerJeXEkR6NZ-MsUTLUHSTxsF37q2lKEzOKk__tdgqDH_Idmx7Cyhl0sOpD-mIIxpGL2Wxf8VNXrKwcmxKEY_vWQ6z2bP74xor3kHMPYF48vY6fedvwgK8I52-48sYT4jDKoozLREvnw98suTFWGh9HZG9CX5kXirImh1qjUCikcT7NSezFOfSqusILYJQXORF5jVL4VJnMoJRJmecuTXVpy_gS-kHj5cfuT4tlq-zV39PXcByM2hSx6RvobdZbvIUj-7VZfa7vGkd8AzTIixE |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEB5qFfSk0opvc_Bo2t0km2yOUiwVay2lld7K5gWFsiu19febbLcVwYu3kAkkM3OYb5L5MgD3SlLjBQJrf0zMUmJw5tMw7MFvElmqiZOqbDYhBoN0OpXDGjzsuDDW2rL4zLbCsHzLN4Veh6uytuQkhPw92E8YI_GGrVXRcuJItjujTkIED5UHJG5Vq3-1TSmjRvf4f_udQPOHfoeGu8ByCjWbN4C9KQ_kvJPRaFvzU-Qoyw0aehCHts2HUOHQ5PEddRch627CpPs07vRw1fIAzz3SX2HhlPOYQwlteZwRyY0Lv7OkSmmuXBx5i3v8lTgqfN5krJSWCku5Mo6lXuzoGdTzIrfngHxmZGjkpOXUMaESZTknWZoaxmSms_gCGkHj2cfmV4tZpezl39N3cNgbv_Zn_efByxUcBQOXJW3yGuqr5drewIH-Ws0_l7elU74Bo_COWA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2021+6th+International+Conference+on+Control%2C+Robotics+and+Cybernetics+%28CRC%29&rft.atitle=Obstacle+Recognition+and+Path+Planning+of+UAV+Flight&rft.au=Zhang%2C+Zhenwei&rft.date=2021-10-09&rft.pub=IEEE&rft.spage=225&rft.epage=229&rft_id=info:doi/10.1109%2FCRC52766.2021.9620154&rft.externalDocID=9620154 |