Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application
The development of artificial intelligence technology can enhance the capability of autonomous unmanned systems and form intelligent autonomous unmanned systems (iAUSs). In this issue, including 10 papers, intelligent technologies applied to air/ground/underground traffic and so on are discussed....
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| Μορφή: | Online |
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| Γλώσσα: | Αγγλικά |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Διαθέσιμο Online: | ONIX_20250220_9783725831135_538 |
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| _version_ | 1869516529900453888 |
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| collection | Directory of Open Access Books |
| description | The development of artificial intelligence technology can enhance the capability of autonomous unmanned systems and form intelligent autonomous unmanned systems (iAUSs). In this issue, including 10 papers, intelligent technologies applied to air/ground/underground traffic and so on are discussed. In the field of UAV application, here shows a high resolution UAV image traffic sign detection method based on a visual language model, a real-time trajectory smoothing obstacle avoidance method based on virtual force guidance, a vision inertial RGB-D SLAM system based on the encoder integrated uncertainty of ORB triangulation and depth measurement. In the field of ground traffic intelligent transportation, here shows some methods: an end-to-end synchronous vehicle pedestrian detection algorithm based on improved YOLOv8, a new multi-scale track surface defect detection model (RSDNet), a transmission line defect detection method based on GR-YOLOv8, a fusion algorithm based on double domain transform filtering and contrast transform feature extraction. In the field of underground roadway robots, the obstacle avoidance trajectory planning method of coal mine drilling, and the anchoring mechanical arm transporting drilling and anchoring materials are studied. A time series prediction method based on optimized variational mode decomposition and SSA-LSTM is proposed. |
| format | Online |
| id | doab-20.500.12854ir-153174 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1531742025-02-20T13:40:41Z Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application Zhao, Chunhui Hao, Shuai Target Recognition Intelligent Network SLAM Robot thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology The development of artificial intelligence technology can enhance the capability of autonomous unmanned systems and form intelligent autonomous unmanned systems (iAUSs). In this issue, including 10 papers, intelligent technologies applied to air/ground/underground traffic and so on are discussed. In the field of UAV application, here shows a high resolution UAV image traffic sign detection method based on a visual language model, a real-time trajectory smoothing obstacle avoidance method based on virtual force guidance, a vision inertial RGB-D SLAM system based on the encoder integrated uncertainty of ORB triangulation and depth measurement. In the field of ground traffic intelligent transportation, here shows some methods: an end-to-end synchronous vehicle pedestrian detection algorithm based on improved YOLOv8, a new multi-scale track surface defect detection model (RSDNet), a transmission line defect detection method based on GR-YOLOv8, a fusion algorithm based on double domain transform filtering and contrast transform feature extraction. In the field of underground roadway robots, the obstacle avoidance trajectory planning method of coal mine drilling, and the anchoring mechanical arm transporting drilling and anchoring materials are studied. A time series prediction method based on optimized variational mode decomposition and SSA-LSTM is proposed. 2025-02-20T13:40:39Z 2025-02-20T13:40:39Z 2025 book ONIX_20250220_9783725831135_538 9783725831135 9783725831142 https://directory.doabooks.org/handle/20.500.12854/153174 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10445 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3114-2 10.3390/books978-3-7258-3114-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725831135 9783725831142 188 Basel open access |
| spellingShingle | Target Recognition Intelligent Network SLAM Robot thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application |
| title | Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application |
| title_full | Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application |
| title_fullStr | Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application |
| title_full_unstemmed | Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application |
| title_short | Target Tracking and Navigation for Intelligent Autonomous Unmanned Systems Application |
| title_sort | target tracking and navigation for intelligent autonomous unmanned systems application |
| topic | Target Recognition Intelligent Network SLAM Robot thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| topic_facet | Target Recognition Intelligent Network SLAM Robot thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology |
| url | ONIX_20250220_9783725831135_538 |