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Implementation of Robot Vision Functions

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Abstract

Robot vision relies on the corresponding vision sensors for implementation, and the commonly used sensors are cameras with image capabilities. In order to achieve stereo vision, cameras with depth information perception are also required. The robot vision system in this book is designed with dual RGBD vision sensors. The upper part uses Primesense RGBD camera for following, face recognition, hand waving recognition and object recognition, and the lower part uses Kinect RGBD camera for autonomous navigation function.

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Further Reading

  1. Cui B. Research on sound source localization based on Kinect microphone array [D]. Zhenjiang: Jiangsu University, 2015.

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  2. CSDN. device PrimeSense 1.09_driver installation and use [EB/OL]. https://blog.csdn.net/hanshuning/article/details/56845394.

  3. Wikipedia. ROS:vision_opencv [EB/OL]. http://wiki.ros.org/vision_opencv.

  4. Wikipedia. ROS:opencv3 [EB/OL]. http://wiki.ros.org/opencv3.

  5. Wikipedia. Converting between ROS images and OpenCV images (C++) [EB/OL]. http://wiki.ros.org/cv_bridge/Tutorials/UsingCvBridgeToConvertBetweenROSImagesAndOpenCVImages.

  6. Wikipedia. ROS:pcl [EB/OL]. http://wiki.ros.org/pcl.

  7. Huang Junjun. Streamlined algorithm for real-time 3D reconstruction study of mobile scenes based on PFH and information fusion [D]. Shanghai: Donghua University, 2014.

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  8. Wang, Liping. Indoor 3D map construction for mobile robot with fused image and depth information [D]. Xiamen: Xiamen University, 2012.

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  9. Chen, Jiazhou. Simultaneous recognition and modeling of indoor scene objects [D]. Guangzhou: Guangdong University of Technology, 2016.

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Duan, F., Li, W., Tan, Y. (2023). Implementation of Robot Vision Functions. In: Intelligent Robot. Springer, Singapore. https://doi.org/10.1007/978-981-19-8253-8_6

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  • DOI: https://doi.org/10.1007/978-981-19-8253-8_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8252-1

  • Online ISBN: 978-981-19-8253-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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