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Automatic detection of pecan fruits based on Faster RCNN with FPN in orchard 被引量:2
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作者 Chunhua Hu Zefeng Shi +3 位作者 Hailin Wei Xiangdong Hu Yuning Xie Pingping Li 《International Journal of Agricultural and Biological Engineering》 SCIE CAS 2022年第6期189-196,共8页
Although the development of the robot picking vision system is widely applied,it is very challenging for fruit detection in orchards with complex light and environment,especially for fruit colors similar to the backgr... Although the development of the robot picking vision system is widely applied,it is very challenging for fruit detection in orchards with complex light and environment,especially for fruit colors similar to the background.In recent,there are few studies on pecan fruit detection and location based on machine vision.In this study,an accurate and efficient pecan fruit detection method was proposed based on machine vision under natural pecan orchards.In order to solve the illumination problem,a light compensation algorithm was first utilized to process the collected samples,and then an improved Faster Region Convolutional Neural Network(Faster RCNN)with the Feature Pyramid Networks(FPN)was established to train the samples.Finally,the pecan number counting method was introduced to count the number of pecan.A total of 241 pecan images were tested,and comparison experiments were carried out.The mean average precision(mAP)of the proposed detection method was 95.932%,compared with the result without uneven illumination correction(UIC),which was increased by 0.849%,while the mAP of the Single Shot Detector(SSD)+FPN was 92.991%.In addition,the number of clusters was counted using the proposed method with an accuracy rate of 93.539%compared with the actual clusters.The results demonstrate that the proposed network has good robustness for pecan fruit detection in different illumination and various unstructured environments,and the experimental achievement has great potential for robot-picking visual systems. 展开更多
关键词 pecan fruit fruit detection Faster RCNN FPN uneven illumination correction
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1.2 Gbit/s visible light transmission based on orthogonal frequency-division multiplexing using a phosphorescent white light-emitting diode and a pre-equalization circuit 被引量:4
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作者 黄星星 陈思源 +2 位作者 王智鑫 王一光 迟楠 《Chinese Optics Letters》 SCIE EI CAS CSCD 2015年第10期26-29,共4页
We propose a two-cascaded, constant-resistance, symmetrical bridged-T amplitude equalizer for a high-speed visible light communication(VLC) system. With the pre-equalization circuit, the-3 d B bandwidth of the VLC s... We propose a two-cascaded, constant-resistance, symmetrical bridged-T amplitude equalizer for a high-speed visible light communication(VLC) system. With the pre-equalization circuit, the-3 d B bandwidth of the VLC system can be extended from 12 to 235 MHz using a commercially available phosphorescent white light-emitting diode(LED), a blue filter, and a low-cost PIN photodiode. The data rate is 1.20 Gbit/s, exploiting 16-quadrature amplitude modulation-orthogonal frequency-division multiplexing with a 300 MHz modulation bandwidth over50 cm of free-space transmission under the pre-forward error correction limit of 3.8 × 10^-3. To our knowledge,this is the highest-3 d B bandwidth and the highest data rate ever achieved by using a pre-equalization circuit and white LED in a VLC system. 展开更多
关键词 equalization multiplexing visible bandwidth symmetrical quadrature cascaded correction illumination commercially
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