Opto-Electronic Engineering
Opto-Electronic EngineeringPrevious  
Special Issue:LiDAR
Cover Story:Chen X D, Zhang J C, Pang W S, et al. Key technology and application algorithm of intelligent driving vehicle LiDAR[J]. Opto-Electronic Engineering, 2019, 46(7): 190182

The specific situation of intelligent driving puts forward high requirements for the hardware technology and the algorithm performance of the LiDAR. Meanwhile, the volume, weight, cost and driving voltage of the LiDAR should meet the installation level of the vehicle system.In order to meet the requirements of intelligent driving, the research on key technologies and algorithms of LiDAR is continuously expanded.
The team of Professor Xiaodong Chen and Huaiyu Cai from Tianjin University affiliated to Tianjin University Unmanned Vehicle Cross Platform, is committed to the research of intelligent driving environment perception technology, has designed environment perception system, completed multi-sensor joint calibration, implemented obstacle detection algorithm based on multi-sensor data, etc. This paper reviews the key technologies and application algorithms of intelligent driving LiDAR in recent years.
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  Review  |  TN959.98
Online Time:Jul 14, 2019
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Lu Zhaoyu, Ge Chunfeng, Wang Zhaoying, et al. Basics and developments of frequency modulation continuous wave LiDAR[J]. Opto-Electronic Engineering, 2019, 46(7): 190038. 
  Review  |  O436.3;TN247
Online Time:Jul 14, 2019
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Liu Bo, Yu Yang, Jiang Shuo. Review of advances in LiDAR detection and 3D imaging[J]. Opto-Electronic Engineering, 2019, 46(7): 190167. 
  Review  |  TN958.98;TH741
Online Time:Jul 14, 2019
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Chen Xiaodong, Zhang Jiachen, Pang Weisong, et al. Key technology and application algorithm of intelligent driving vehicle LiDAR[J]. Opto-Electronic Engineering, 2019, 46(7): 190182. 
  Review  |  TN249
Online Time:Jul 14, 2019
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Chen Jingye, Shi Yaocheng. Research progress in solid-state LiDAR[J]. Opto-Electronic Engineering, 2019, 46(7): 190218. 
  Article  |  TN959.98
Online Time:Jul 14, 2019
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Hu Yihua, Dong Xiao, Zhao Nanxiang. Research on coherent differential absorption LiDAR based on Golay coding technology[J]. Opto-Electronic Engineering, 2019, 46(7): 190081. 
  Article  |  TB872
Online Time:Jul 14, 2019
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Jiang Yan, Liu Ruqing, Zhu Jingguo, et al. A high-performance CMOS FDMA for pulsed TOF imaging LADAR system[J]. Opto-Electronic Engineering, 2019, 46(7): 190194. 
  Article  |  P413
Online Time:Jul 14, 2019
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Zheng Zhaoyang, Zhang Tianshu, Dong Yunsheng, et al. Identification of hardware fault data of particle LiDAR[J]. Opto-Electronic Engineering, 2019, 46(7): 190100. 
  Article  |  TP277
Online Time:Jul 14, 2019
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Cai Huaiyu, Chen Yanzhen, Zhuo Liran, et al. LiDAR object detection based on optimized DBSCAN algorithm[J]. Opto-Electronic Engineering, 2019, 46(7): 180514. 
  Article  |  TP277;TP391
Online Time:Jul 14, 2019
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Chang Xin, Chen Xiaodong, Zhang Jiachen, et al. An object detection and tracking algorithm based on LiDAR and camera information fusion[J]. Opto-Electronic Engineering, 2019, 46(7): 180420. 
  Article  |  TN958
Online Time:Jul 14, 2019
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Xiang Yi, Wang Yi, Zhang Jiachen, et al. Target location estimation for vehicle dual radar based on unscented Kalman filter[J]. Opto-Electronic Engineering, 2019, 46(7): 180339. 
  Article  |  TP391
Online Time:Jul 14, 2019
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Cheng Ziyang, Ren Guoquan, Zhang Yin. Ground segmentation from 3D point cloud using features of scanning line segments[J]. Opto-Electronic Engineering, 2019, 46(7): 180268. 
  Article  |  TB872
Online Time:Jul 14, 2019
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Pan Weijun, Duan Yingjie, Zhang Qiang, et al. Research on aircraft wake vortex recognition using AlexNet[J]. Opto-Electronic Engineering, 2019, 46(7): 190082. 
  Article  |  TN958.98
Online Time:Jul 14, 2019
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Wang Chunmei, Huang Fengshan, Xue Ze. LiDAR measurement system and the calibration method of loading robot[J]. Opto-Electronic Engineering, 2019, 46(7): 190002.