付强等:仿生扑冀飞行器的视觉感知系统研究进展 ·1519 micro-air vehicles via an observer-based sliding mode control [31]Redmon J,Divvala S,Girshick R,et al.You only look once: method.Aerosp Sci Technol,2018,76:386 unified,real-time object detection /IEEE Conference on [15]Grip H F,Fossen T I,Johansen T A,et al.Attitude estimation Computer Vision and Pattern Recognition.Las Vegas,2016:779 using biased gyro and vector measurements with time-varying [32]Liu Y,Jing X Y,Nie J H,et al.Context-aware three-dimensional reference vectors.IEEE Trans Autom Control,2012,57(5):1332 mean-shift with occlusion handling for robust object tracking in [16]Wang T.Stabili-ing Platform:U.S.Patent,8938160.2015-1-20 RGB-D videos.IEEE Trans Multimedia,2019,21(3):664 [17]Koh L P,Wich S A.Dawn of drone ecology:low-cost autonomous [33]Gan M G,Cheng Y L,Wang Y N,et al.Hierarchical particle filter aerial vehicles for conservation.Trop Conser Sci,2012,5(2): tracking algorithm based on multi-feature fusion.J Syst Eng 121 Electron,2016,27(1):51 [18]Dong J,Liu H B.Video stabilization for strict real-time [34]Held D,Thrun S,Savarese S.Learning to track at 100 fps with applications.IEEE Trans Circuits Syst Video Technol,2017, deep regression networks /European Conference on Computer 27(4):716 Vision.Amsterdam,2016:749 [19]Aguilar W G,Angulo C,Pardo J A.Motion intention optimization [35]Milan A,Rezatofighi S H,Dick A,et al.Online multi-target for multirotor robust video stabilization /2017 CHILEAN tracking using recurrent neural networks /Proceedings of the Conference on Electrical,Electronics Engineering.Information Thirty-First AAAI Conference on Artificial Intelligence.San and Communication Technologies.Pucon,2017:1 Francisco,2017:4225 [20]Mingkhwan E,Khawsuk W.Digital image stabilization technique [36]Chen P,Dang Y J,Liang R H,et al.Real-time object tracking on a for fixed camera on small size drone /2017 Third Asian drone with multi-inertial sensing data.IEEE Trans Intell Transp Conference on Defence Technology.Phuket,2017:12 ys,2018,19(1):131 [21]Aguilar W G,Angulo C.Real-time model-based video [37]Scheper K Y W,Karasek M,De Wagter C,et al.First autonomous stabilization for microaerial vehicles.Neural Process Lett,2016, multi-room exploration with an insect-inspired flapping wing 43(2):459 vehicle 2018 IEEE International Conference on Robotics and [22]Lim A,Ramesh B,Yang Y,et al.Real-time optical flow-based Automation.Brisbane,2018:5546 video stabilization for unmanned aerial vehicles.J Real-Time [38]Lee J,Ryu S,Kim T,et al.Leaming-based path tracking control of Image Process,2017:1 a flapping-wing micro air vehicle /2018 IEEE/RSJ International [23]Pae D S,An C G,Kang T K,et al.Advanced digital image Conference on Intelligent Robots and Systems.Madrid,2018:7096 stabilization using similarity-constrained optimization.Multimedia Tools4ppl,2018,78(12):16489 [39]Butt AA,Collins R T.Multi-target tracking by lagrangian relaxation to min-cost network flow /IEEE Conference on [24]Han J H,Ma Y,Zhou B,et al.A robust infrared small target Computer Vision and Pattern Recognition.Portland,2013:1846 detection algorithm based on human visual system.IEEE Geosc Remote Sens Lett,2014,11(12):2168 [40]He W,Ding S Q,Sun C Y.Research progress on modeling and [25]Zorbas D,Razafindralambo T,Luigi D P P,et al.Energy efficient control of flapping-wing air vehicles.Acta Automatica Sin,2017, 43(5):685 mobile target tracking using flying drones.Procedia Comput Sci, 2013,19:80 (贺威,丁施强,孙长银.扑翼飞行器的建模与控制研究进展.自 [26]Chen S Z,Wang H P,Xu F,et al.Target classification using the 动化学报,2017,43(5):685) deep convolutional networks for SAR images.IEEE Trans Geosci [41]Lukin V P,Nosov VV,Torgaev A V.Features of optical image Remote Sens,2016,54(8):4806 jitter in a random medium with a finite outer scale.App/Opt,2014, [27]Minaeian S,Liu J,Son Y J.Vision-based target detection and 53(10:B196 localization via a team of cooperative UAV and UGVs.IEEE [42]He W,Huang H F,Chen Y N,et al.Development of an Trans Syst Man Cybern Syst,2016,46(7):1005 autonomous flapping-wing aerial vehicle.Sci China Inform Sci, [28]Lin S G,Garratt M A,Lambert A J.Monocular vision-based real- 2017,60(6):063201 time target recognition and tracking for autonomously landing an [43]Tijmons S,de Croon G C H E,Remes B D W,et al.Obstacle UAV in a cluttered shipboard environment.Auton Robot,2017, avoidance strategy using onboard stereo vision on a flapping wing 41(4):881 MAV.IEEE Trans Robot,2017,33(4):858 [29]Baek SS,Bermudez F L G,Fearing R S.Flight control for target [44]Ryu S,Kim H J.Development of a flapping-wing micro air vehicle seeking by 13 gram ornithopter /2011 IEEE/RSJ International capable of autonomous hovering with onboard measurements Conference on Intelligent Robots and Systems.San Francisco IEEE/RSJ International Conference on Intelligent Robots and 2011:2674 Systems.Vancouver,2017:3239 [30]He K M,Zhang X Y,Ren S Q,et al.Deep residual learning for [45]Harik E H C,Guerin F,Guinand F,et al.UAV-UGV cooperation image recognition IEEE Conference on Computer Vision and for objects transportation in an industrial area /IEEE International Pattern Recognition.Las Vegas,2016:770 Conference on Industrial Technology.Seville,2015:547micro-air vehicles via an observer-based sliding mode control method. Aerosp Sci Technol, 2018, 76: 386 Grip H F, Fossen T I, Johansen T A, et al. Attitude estimation using biased gyro and vector measurements with time-varying reference vectors. IEEE Trans Autom Control, 2012, 57(5): 1332 [15] [16] Wang T. Stabilizing Platform: U.S. Patent, 8938160. 2015-1-20 Koh L P, Wich S A. Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation. Trop Conserv Sci, 2012, 5(2): 121 [17] Dong J, Liu H B. Video stabilization for strict real-time applications. IEEE Trans Circuits Syst Video Technol, 2017, 27(4): 716 [18] Aguilar W G, Angulo C, Pardo J A. Motion intention optimization for multirotor robust video stabilization // 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies. Pucon, 2017: 1 [19] Mingkhwan E, Khawsuk W. Digital image stabilization technique for fixed camera on small size drone // 2017 Third Asian Conference on Defence Technology. Phuket, 2017: 12 [20] Aguilar W G, Angulo C. Real-time model-based video stabilization for microaerial vehicles. Neural Process Lett, 2016, 43(2): 459 [21] Lim A, Ramesh B, Yang Y, et al. Real-time optical flow-based video stabilization for unmanned aerial vehicles. J Real-Time Image Process, 2017: 1 [22] Pae D S, An C G, Kang T K, et al. Advanced digital image stabilization using similarity-constrained optimization. Multimedia Tools Appl, 2018, 78(12): 16489 [23] Han J H, Ma Y, Zhou B, et al. A robust infrared small target detection algorithm based on human visual system. IEEE Geosci Remote Sens Lett, 2014, 11(12): 2168 [24] Zorbas D, Razafindralambo T, Luigi D P P, et al. Energy efficient mobile target tracking using flying drones. Procedia Comput Sci, 2013, 19: 80 [25] Chen S Z, Wang H P, Xu F, et al. Target classification using the deep convolutional networks for SAR images. IEEE Trans Geosci Remote Sens, 2016, 54(8): 4806 [26] Minaeian S, Liu J, Son Y J. Vision-based target detection and localization via a team of cooperative UAV and UGVs. IEEE Trans Syst Man Cybern Syst, 2016, 46(7): 1005 [27] Lin S G, Garratt M A, Lambert A J. Monocular vision-based realtime target recognition and tracking for autonomously landing an UAV in a cluttered shipboard environment. Auton Robot, 2017, 41(4): 881 [28] Baek S S, Bermudez F L G, Fearing R S. Flight control for target seeking by 13 gram ornithopter // 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. San Francisco, 2011: 2674 [29] He K M, Zhang X Y, Ren S Q, et al. Deep residual learning for image recognition // IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, 2016: 770 [30] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection // IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, 2016: 779 [31] Liu Y, Jing X Y, Nie J H, et al. Context-aware three-dimensional mean-shift with occlusion handling for robust object tracking in RGB-D videos. IEEE Trans Multimedia, 2019, 21(3): 664 [32] Gan M G, Cheng Y L, Wang Y N, et al. Hierarchical particle filter tracking algorithm based on multi-feature fusion. J Syst Eng Electron, 2016, 27(1): 51 [33] Held D, Thrun S, Savarese S. Learning to track at 100 fps with deep regression networks // European Conference on Computer Vision. Amsterdam, 2016: 749 [34] Milan A, Rezatofighi S H, Dick A, et al. Online multi-target tracking using recurrent neural networks // Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. San Francisco, 2017: 4225 [35] Chen P, Dang Y J, Liang R H, et al. Real-time object tracking on a drone with multi-inertial sensing data. IEEE Trans Intell Transp Syst, 2018, 19(1): 131 [36] Scheper K Y W, Karásek M, De Wagter C, et al. First autonomous multi-room exploration with an insect-inspired flapping wing vehicle // 2018 IEEE International Conference on Robotics and Automation. Brisbane, 2018: 5546 [37] Lee J, Ryu S, Kim T, et al. Learning-based path tracking control of a flapping-wing micro air vehicle // 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. Madrid, 2018: 7096 [38] Butt A A, Collins R T. Multi-target tracking by lagrangian relaxation to min-cost network flow // IEEE Conference on Computer Vision and Pattern Recognition. Portland, 2013: 1846 [39] He W, Ding S Q, Sun C Y. Research progress on modeling and control of flapping-wing air vehicles. Acta Automatica Sin, 2017, 43(5): 685 (贺威, 丁施强, 孙长银. 扑翼飞行器的建模与控制研究进展. 自 动化学报, 2017, 43(5):685 ) [40] Lukin V P, Nosov V V, Torgaev A V. Features of optical image jitter in a random medium with a finite outer scale. Appl Opt, 2014, 53(10): B196 [41] He W, Huang H F, Chen Y N, et al. Development of an autonomous flapping-wing aerial vehicle. Sci China Inform Sci, 2017, 60(6): 063201 [42] Tijmons S, de Croon G C H E, Remes B D W, et al. Obstacle avoidance strategy using onboard stereo vision on a flapping wing MAV. IEEE Trans Robot, 2017, 33(4): 858 [43] Ryu S, Kim H J. Development of a flapping-wing micro air vehicle capable of autonomous hovering with onboard measurements // IEEE/RSJ International Conference on Intelligent Robots and Systems. Vancouver, 2017: 3239 [44] Harik E H C, Guérin F, Guinand F, et al. UAV-UGV cooperation for objects transportation in an industrial area // IEEE International Conference on Industrial Technology. Seville, 2015: 547 [45] 付 强等: 仿生扑翼飞行器的视觉感知系统研究进展 · 1519 ·