{"title":"Long-term Autonomous Mission Planning of AUV in Large-scale Complex Marine Environment","authors":"Dunwen Wei, Feiran Wang, Hongjiao Ma","doi":"10.1145/3351917.3351985","DOIUrl":"https://doi.org/10.1145/3351917.3351985","url":null,"abstract":"Autonomous underwater vehicles (AUVs) have been widely used to perform marine missions. Long-term autonomous mission planning is the challenge issue that restricts their applications to the large-scale complex marine environment. In this paper, we proposed one mission planning model, which considers the various complex constraints, such as task attributes and marine environment constraints. We constructed the security situation map and formulated the mission planning into a multi-objective optimization problem that considers the time cost, the quality and quantity of completed tasks. Such a model has the extensibility features that you can associate your custom objective with extra constraints. Considering that this problem is an NP optimal problem, we used the metaheuristic algorithm -ant colony and its variants- to prove the correctness and effectiveness, and the performance of different variant algorithms are compared by the experimental simulations.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125951517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Obstacle Avoidance by DSmT for Mobile Robot in Unknown Environment","authors":"Huimin Chai, Shaonan Lv, Min Fang","doi":"10.1145/3351917.3351981","DOIUrl":"https://doi.org/10.1145/3351917.3351981","url":null,"abstract":"A method by Dezert-Smarandache theory (DSmT) is proposed for obstacle avoidance of mobile robot in unknown environment. The grid environment map is constructed for robot. On the basis of DSmT, the generalized basic belief assignment (gbba) is defined to evaluate the grid state: empty, has obstacle, and unknown. Then the belief values of the grid state from different time slice are combined by DSmT. Experiments including eleven typical simulation scenes are given. In these experiments, one scene test fails and the rest of ten scenes are successful in which robot can avoid all obstacles. The results show that the method is effective and available for mobile robot's obstacle avoidance in unknown environment.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125236845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of PSO on Electromagnetic Induction-Based Subsea Cable Detection","authors":"Jialei Zhang, Xianbo Xiang","doi":"10.1145/3351917.3351926","DOIUrl":"https://doi.org/10.1145/3351917.3351926","url":null,"abstract":"Subsea cables face more and more challenges due to the increasing marine economic activities and frequent natural disasters, such as anchorage, fishing, widening, earthquake and tsunami, which greatly affect the life of subsea cables and pipelines. Firstly, this paper reviews the situation of subsea cables and the resulting difficulties for localization. The tradition subsea detection methods, such as hydroacoustic and visual methods, are excluded from the subsea cable detection and localization due to the applicability of detection for large-sized and exposed subsea pipelines. Based on the structural composition of different subsea cables, the active electromagnetic sensing method are selected as the optimal approach to combined with particle swarm optimization (PSO). Secondly, based on the extensive application of the swarm intelligent optimization algorithm in practical engineering, this paper proposes a novel subsea cable localization (discrete cable location and burial depth) method by using an underactuated autonomous underwater vehicle (AUV) carrying with a tri-axial electromagnetic sensor. The electromagnetic sensor is used to capture the magnetic signal which are radiated from the AC electrified subsea cable. Based on the framework of PSO and electromagnetic signal sequences, the PSO localization method is designed. Furthermore, the electromagnetic sensing based PSO localization method is compared with cable-following detection and tracking method from the practical view. Finally, a principle numerical simulation is design to test the effectiveness of the proposed subsea cable localization method. In order to meet the practical demands, the PSO should be modified to improve the stability and convergence speed, the online path planning and platform motion control method should be developed.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126034658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamic Modeling of Robot Fish Based on Experiment","authors":"Zhang Yu, DongXing Qin, Shen Yan","doi":"10.1145/3351917.3351951","DOIUrl":"https://doi.org/10.1145/3351917.3351951","url":null,"abstract":"Basis of the large-amplitude elongated body theory, the equations of motion and rigid body dynamics model of robotic fish was set up. Dynamic model of robot fish was established by using the method of Fluid Dynamics. The interaction force between tail fin and Fluid, the additional stress produced by tail vortices, and the lift and Obstruction of fish body are fully analysed. As used in this paper, the effects of Deflection, amplitude and frequency on the model are studied by three groups of experiments. The results proved that the experimental data and the calculated value of the theoretical model established in this paper, has a good consistency, can be used for the study of BCF progression pattern.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Multi-mode Mobile Parallel Mechanism Based on Planar 6R","authors":"Zhi Chen, Chunyan Zhang, Mao-sheng Li","doi":"10.1145/3351917.3351921","DOIUrl":"https://doi.org/10.1145/3351917.3351921","url":null,"abstract":"The planar 6R mechanism is applied to the design of the mechanism, and a novel type of parallel robot with two modes of rolling and walking is proposed. Then, the mechanism generation principle expounded by using the configuration synthesis method of single-loop kinematic chain; the kinematics of the mechanism is analyzed by using vector method. Finally, the mechanism simulated by ADAMS software. The simulation results show that the two motion modes of the mechanism are feasible, which provides a theoretical basis for the prototype manufacture.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130064198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Co-simulation of Dynamic Surface Sliding Mode Control for Elevation Equilibrator Electro-Hydraulic System of Truck-Mounted Howitzer","authors":"Shanping Yang, Q. Yin, Liu Yang","doi":"10.1145/3351917.3351971","DOIUrl":"https://doi.org/10.1145/3351917.3351971","url":null,"abstract":"This paper proposes a DSSMC (dynamic surface sliding mode control) strategy to track the desired angle for one elevation equilibrator of truck-mounted howitzer. Dynamic surface control is introduced to solve the problem of nonlinearity, unmatched external loads, parameters uncertainty and differential explosion caused by backstepping method. The stability is proved by Lyapunov method and the performance of this control strategy is verified by the method of co-simulation with AMESim and MATLAB. The co-simulation results show that, compared with PID control strategy, DSSMC strategy has better tracking accuracy and rapidity.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133762325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Q. Liang, Li Mei, Wanneng Wu, Wei Sun, Yaonan Wang, Dan Zhang
{"title":"Automatic Basketball Detection in Sport Video Based on R-FCN and Soft-NMS","authors":"Q. Liang, Li Mei, Wanneng Wu, Wei Sun, Yaonan Wang, Dan Zhang","doi":"10.1145/3351917.3351970","DOIUrl":"https://doi.org/10.1145/3351917.3351970","url":null,"abstract":"In basketball videos, the ball is always so small in the camera that its appearance feature is hard to be extracted. In this paper, we introduce a deep-learning technology to detect the basketball. Specifically, we train our basketball detection model based on the Region-based Fully Convolutional Networks (R-FCN) which uses the fully convolutional Residual Network (ResNet) as the backbone network. What's more, we apply some new techniques including Online Hard Example Mining (OHEM), Soft-NMS and multi-scale training strategy to achieve higher detection accuracy. In detail, the OHEM method can reduce the cost of fine-tuning during training by calculating the loss of the RoIs. Soft-NMS can reduce the false positive rate by decreasing the object detection score between the overlap object. And the multi-scale training can improve the detection performance by receiving the good feature from the object with different scale. Finally, we achieve a mean average precision (mAP) value of 89.7% on a public basketball dataset. It proves that applying the deep-learning approach to basketball detection is effective.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"480 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134522829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of Fuze Speed Correction System Based on Projectile Rotating Environment Data","authors":"Hang Yu, Haojie Li, Shaojie Ma","doi":"10.1145/3351917.3351964","DOIUrl":"https://doi.org/10.1145/3351917.3351964","url":null,"abstract":"In order to improve the accuracy of the fixed-distance air-bomb fuze, combined with the fuze's self speed-correcting process, the MATLAB GUI was used to design the host computer human-computer interaction software to simulate the fuze speed correction system. The influence of the amplitude interval parameters and the velocity interval parameters of the ballistic rotating environment data on the measured initial velocity and the fuze action time is studied by using the simulation system. On the surface of the test results, the selection of the velocity range has a great influence on the measured initial velocity and the fuze action time, and the influence of the amplitude interval is small. The design of the analog fuze speed correction system provides convenience and data reference for laboratory fuze debugging.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128697603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Lithium-ion Batteries State of Charge Estimation based on Interactive Multiple-model Cubature Filter","authors":"X. Xia, Shangrong Li, Zhengzheng Meng","doi":"10.1145/3351917.3351938","DOIUrl":"https://doi.org/10.1145/3351917.3351938","url":null,"abstract":"In this paper, an estimator Interactive multi-model cubature kalman filter (IMM- CKF) based on the combination of interactive multi-model algorithm (IMM) and cubature kalman filter (CKF) is applied to estimate the state of charge of lithium-ion battery. Firstly, two multiple models are set up to represent the different degree of parameter shift in the Lithium ion battery. Equivalent circuit methodology is used to construct the non-linear battery models. Secondly, the Interactive Multiple-Model Cubature Kalman Filter (IMM-CKF) and conventional Cubature Kalman Filter is used to estimate SOC of the battery. the numerical simulations and experiments have been done and the results show the effectiveness of interactive multi-model cubature kalman filter and its advantages over conventional methods with respect to estimation errors and variance. Compared with the traditional EKF, UKF and CKF algorithms, the IMM- CKF algorithm is found to yield better SOC estimation accuracy. The added computational cost of new estimator is acceptable.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124292312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Traffic Sign Detection based on SSD","authors":"Benhe Gao, Zhongjun Jiang, Jiaman zhang","doi":"10.1145/3351917.3351988","DOIUrl":"https://doi.org/10.1145/3351917.3351988","url":null,"abstract":"The traffic sign recognition process includes two parts: detection and classification. In this paper, we use an object detection algorithm called SSD to detect the traffic signs. This convolutional neural network uses multiple feature maps to detect objects. For the traffic sign is very small to the whole picture, the SSD model has been improved to have a better detection result of traffic signs. In the experiments, the model has been simplified and the size of the prior box has been modified. The improved network has a good detection effect on small targets. The results on the test data set show that the proposed algorithm performs well for single-target, multi-target and dark-light images. The precision and recall on the test data set are 91.09%, and 88.06%.","PeriodicalId":367885,"journal":{"name":"Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116763652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}