15.1.4 Active Vision - Path Planning

Chapter Contents (Back)
Planning. Motion, Planning. Active Vision, Path Planning. Path Planning.
See also Vehicle Trajectory Planning.

15.1.4.1 Planning Sensor Position, View Selection, View Planning, Next View

Chapter Contents (Back)
Planning. View Selection. View Planning. Motion, Planning. Sensor Planning. Sensor Path Planning. Path Planning.

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Optimal Camera Planning Under Versatile User Constraints in Multi-Camera Image Processing Systems,
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Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms,
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Cameras, Estimation, Mathematical model, Optimization, Simultaneous localization and mapping, Correspondence field, camera optimization, depth estimation, stereo BibRef

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Mobile robots, Planning, Robot kinematics, Robot sensing systems, Target tracking, Cooperative mobile robots, surveillance BibRef

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Sensors, Planning, Wireless sensor networks, Vehicle dynamics, Dynamics, Path planning, Real-time systems, unmanned underwater vehicle (UUV) BibRef

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Vehicle dynamics, Mathematical model, Planning, Differential equations, Heuristic algorithms, Sea surface, VISIR BibRef

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IEEE DOI 2010
Belts, Inspection, Routing, Charging stations, Planning, Optimization, Unmanned aerial vehicles, Combinatorial optimization, mixed-integer linear programming BibRef

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Actuators, Turning, Vehicle dynamics, State feedback, Adaptive control, Sensors, Actuator constraints, adaptive control, unmanned surface vehicle (USV) BibRef

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Dolphins, Path planning, Robot kinematics, Dynamics, Task analysis, Heuristic algorithms, Astar (A*) algorithm, dynamic modeling, segmented Bezier curve BibRef

Zhang, Z., Chen, S., Xie, J., Yang, S.,
Two Hybrid Multiobjective Motion Planning Schemes Synthesized by Recurrent Neural Networks for Wheeled Mobile Robot Manipulators,
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IEEE DOI 2104
End effectors, Mobile robots, Task analysis, Kinematics, Collision avoidance, Joint physical limits constraint, wheeled mobile redundant manipulators BibRef

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Mobile agents, Multi-agent systems, Cost function, Upper bound, Robot sensing systems, Time factors, Coverage control, multiagent systems BibRef

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IEEE DOI 2107
Search problems, Semantics, Path planning, Robot sensing systems, Mobile robots, Uncertainty, Informative path planning (IPP), semantic information BibRef

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Non-Model-Based approach for complete digitization by TLS or mobile scanner,
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Elsevier DOI 2108
TLS, Mobile scanner, Visibility analysis, View planning, Next-best-view, Non-model-based BibRef

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PathBench: A Benchmarking Platform for Classical and Learned Path Planning Algorithms,
CRV21(79-86)
IEEE DOI 2108
Training, Measurement, Visualization, Benchmark testing, Tools, Path planning, Path Planning, Benchmarking, Machine Learning BibRef

Toma, A.I.[Alexandru-Iosif], Jaafar, H.A.[Hussein Ali], Hsueh, H.Y.[Hao-Ya], James, S.[Stephen], Lenton, D.[Daniel], Clark, R.[Ronald], Saeedi, S.[Sajad],
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CRV21(87-94)
IEEE DOI 2108
Machine learning algorithms, Urban areas, Machine learning, Kinematics, Manipulators, LSTM BibRef

Dehbi, Y.[Youness], Leonhardt, J.[Johannes], Oehrlein, J.[Johannes], Haunert, J.H.[Jan-Henrik],
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Art Gallery Problem, Terrestrial laser scanning, View planning, Indoor, Mixed Integer Linear Programming, Optimization BibRef

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AI(301), 2021, pp. 103560.
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Path planning, Any angle path planning, Robotics, Search, Computational geometry BibRef

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Force-Based Algorithm for Motion Planning of Large Agent,
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IEEE DOI 2201
Planning, Heuristic algorithms, Trajectory, Real-time systems, Navigation, Computational complexity, Force, Collision avoidance, trajectory optimization BibRef

He, Y.M.[Yong-Ming], Xing, L.N.[Li-Ning], Chen, Y.W.[Ying-Wu], Pedrycz, W.[Witold], Wang, L.[Ling], Wu, G.H.[Guo-Hua],
A Generic Markov Decision Process Model and Reinforcement Learning Method for Scheduling Agile Earth Observation Satellites,
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IEEE DOI 2202
Satellites, Job shop scheduling, Heuristic algorithms, Task analysis, Linear programming, Decision making, task scheduling BibRef

Liu, H.[Huan], Li, X.[Xiamiao], Fan, M.F.[Ming-Feng], Wu, G.H.[Guo-Hua], Pedrycz, W.[Witold], Suganthan, P.N.[Ponnuthurai Nagaratnam],
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IEEE DOI 2204
Path planning, Planning, Real-time systems, Unmanned aerial vehicles, Histograms, Optimization, obstacle avoidance BibRef

Huang, P.[Pengdi], Lin, L.Q.[Li-Qiang], Xu, K.[Kai], Huang, H.[Hui],
Autonomous Outdoor Scanning via Online Topological and Geometric Path Optimization,
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IEEE DOI 2204
Robots, Planning, Optimization, Scalability, Navigation, Cameras, Autonomous scanning, on-the-fly path planning, geometric path optimization BibRef

Jian, Z.Q.[Zhi-Qiang], Chen, S.T.[Shi-Tao], Zhang, S.Y.[Song-Yi], Chen, Y.[Yu], Zheng, N.N.[Nan-Ning],
Multi-Model-Based Local Path Planning Methodology for Autonomous Driving: An Integrated Framework,
ITS(23), No. 5, May 2022, pp. 4187-4200.
IEEE DOI 2205
Planning, Path planning, Autonomous vehicles, Trajectory, Safety, Acceleration, Vehicle dynamics, Autonomous vehicles, path planning, system analysis and design BibRef

Zhang, J.M.[Jin-Ming], Wang, X.[Xun], Xu, L.R.[Lian-Rui], Zhang, X.[Xin],
An Occupancy Information Grid Model for Path Planning of Intelligent Robots,
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Zhang, H.C.[Huang-Chuang], Li, G.[Ge],
Precise Indoor Path Planning Based on Hybrid Model of GeoSOT and BIM,
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Zhang, H.C.[Huang-Chuang], Zhuang, Q.J.[Qing-Jun], Li, G.[Ge],
Robot Path Planning Method Based on Indoor Spacetime Grid Model,
RS(14), No. 10, 2022, pp. xx-yy.
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Yang, L.[Lin], Li, Y.[Yanan], Huang, D.Q.[De-Qing], Xia, J.K.[Jing-Kang], Zhou, X.D.[Xiao-Dong],
Spatial Iterative Learning Control for Robotic Path Learning,
Cyber(52), No. 7, July 2022, pp. 5789-5798.
IEEE DOI 2207
Robots, Trajectory, Task analysis, Force, Robot kinematics, Robot sensing systems, Iterative learning control, Learning law, teaching by demonstration BibRef

Shang, Z.X.[Zhe-Xiong], Shen, Z.G.[Zhi-Gang],
Flight Planning for Survey-Grade 3D Reconstruction of Truss Bridges,
RS(14), No. 13, 2022, pp. xx-yy.
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Huang, C.[Chong], Dang, Y.J.[Yuan-Jie], Chen, P.[Peng], Yang, X.[Xin], Cheng, K.T.[Kwang-Ting],
One-Shot Imitation Drone Filming of Human Motion Videos,
PAMI(44), No. 9, September 2022, pp. 5335-5348.
IEEE DOI 2208
Imitate filming style. Videos, Cameras, Drones, Training, Task analysis, Feature extraction, Robot vision systems, Autonomous drone cinematography, motion prediction BibRef

Frías, E.[Ernesto], Previtali, M.[Mattia], Díaz-Vilariño, L.[Lucía], Scaioni, M.[Marco], Lorenzo, H.[Henrique],
Optimal scan planning for surveying large sites with static and mobile mapping systems,
PandRS(192), 2022, pp. 13-32.
Elsevier DOI 2209
3D digitalization, Autonomous navigation, Computational geometry, Path planning, Scan-vs-BIM, Spatial analysis BibRef

Cao, Z.C.[Zheng-Cai], Zhang, D.[Dong], Zhou, M.C.[Meng-Chu],
Direction Control and Adaptive Path Following of 3-D Snake-Like Robot Motion,
Cyber(52), No. 10, October 2022, pp. 10980-10987.
IEEE DOI 2209
Robots, Snake robots, Mobile robots, Mathematical model, Computational modeling, Adaptation models, Trajectory, 3-D motion BibRef

Mei, X.J.[Xiao-Jun], Han, D.Z.[De-Zhi], Saeed, N.[Nasir], Wu, H.F.[Hua-Feng], Chang, C.C.[Chin-Chen], Han, B.[Bin], Ma, T.[Teng], Xian, J.F.[Jiang-Feng],
Trajectory Optimization of Autonomous Surface Vehicles with Outliers for Underwater Target Localization,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Ma, Y.[Yong], Zhao, Y.J.[Yu-Jiao], Li, Z.X.[Zhi-Xiong], Bi, H.X.[Hua-Xiong], Wang, J.[Jing], Malekian, R.[Reza], Sotelo, M.A.[Miguel Angel],
CCIBA*: An Improved BA* Based Collaborative Coverage Path Planning Method for Multiple Unmanned Surface Mapping Vehicles,
ITS(23), No. 10, October 2022, pp. 19578-19588.
IEEE DOI 2210
Path planning, Task analysis, Collaboration, Heuristic algorithms, Behavioral sciences, Robots, Potential energy, Multiple USMVs, task decomposition BibRef

Chen, G.Q.[Guo-Qiang], Guo, H.D.[Hua-Dong], Jiang, H.P.[Hui-Ping], Han, C.M.[Chun-Ming], Ding, Y.X.[Yi-Xing], Wu, K.[Kai],
Analysis of Comprehensive Multi-Factors on Station Selection for Moon-Based Earth Observation,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Pan, S.[Sicong], Wei, H.[Hui],
A global generalized maximum coverage-based solution to the non-model-based view planning problem for object reconstruction,
CVIU(226), 2023, pp. 103585.
Elsevier DOI 2212
Object 3D reconstruction, Active vision, Next-best-view planning, Set covering optimization problem, Generalized maximum coverage problem BibRef

Cai, C.[Chang], Chen, J.F.[Jian-Feng], Yan, Q.L.[Qing-Li], Liu, F.[Fen],
A Multi-Robot Coverage Path Planning Method for Maritime Search and Rescue Using Multiple AUVs,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Guo, X.M.[Xiao-Min], Cao, Y.X.[Yong-Xing], Zhou, J.[Jian], Huang, Y.X.[Yuan-Xian], Li, B.[Bijun],
HDM-RRT: A Fast HD-Map-Guided Motion Planning Algorithm for Autonomous Driving in the Campus Environment,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Xu, Y.[Yang], Han, Y.X.[Yu-Xing], Sun, Z.[Zhu], Gu, W.[Wei], Jin, Y.[Yongkui], Xue, X.Y.[Xin-Yu], Lan, Y.[Yubin],
Path Planning Optimization With Multiple Pesticide and Power Loading Bases Using Several Unmanned Aerial Systems on Segmented Agricultural Fields,
SMCS(53), No. 3, March 2023, pp. 1882-1894.
IEEE DOI 2302
Task analysis, Path planning, Planning, Loading, Spraying, Genetic algorithms, Plants (biology), total operation time BibRef

Okumura, K.[Keisuke], Défago, X.[Xavier],
Solving simultaneous target assignment and path planning efficiently with time-independent execution,
AI(321), 2023, pp. 103946.
Elsevier DOI 2306
Unlabeled multi-agent pathfinding, Online planning, Multi-robot coordination, Target assignment BibRef

Han, L.[Liang], Yuan, H.[Han], Xu, W.F.[Wen-Fu], Huang, Y.Z.[Yun-Zhi],
Modified Dynamic Movement Primitives: Robot Trajectory Planning and Force Control Under Curved Surface Constraints,
Cyber(53), No. 7, July 2023, pp. 4245-4258.
IEEE DOI 2307
Trajectory, Robots, Task analysis, Force, Force control, Trajectory planning, Impedance, Adaptive force control BibRef

Saraiya, A.A.[Aaditya Asit], Das, S.K.[Sangram Keshari], Rout, B.K., Kalaichelvi, V.,
Path planning of mobile manipulator for navigation and object clean-up,
IJCVR(13), No. 4, 2023, pp. 378-404.
DOI Link 2307
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Dang, Y.J.[Yuan-Jie], Huang, C.[Chong], Chen, P.[Peng], Liang, R.H.[Rong-Hua], Yang, X.[Xin], Cheng, K.T.[Kwang-Ting],
Path-Analysis-Based Reinforcement Learning Algorithm for Imitation Filming,
MultMed(25), 2023, pp. 2812-2824.
IEEE DOI 2307
Cameras, Cinematography, Drones, Trajectory, Task analysis, Cloning, Reinforcement learning, Cinematography system, imitation filming, unmanned aerial vehicles BibRef

Lv, Z.[Zequn], Fan, C.[Cunbo], An, N.[Ning], Gao, J.[Jian], Zhang, H.T.[Hai-Tao], Ma, L.[Lei], Wen, G.[Guanyu], Dong, X.[Xue], Liu, C.[Chenzhi],
Autonomous Planning Algorithm for Satellite Laser Ranging Tasks Based on Rolling Horizon Optimization Framework,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Guo, H.H.[Hui-Hui], Wu, F.[Fan], Qin, Y.[Yunchuan], Li, R.[Ruihui], Li, K.Q.[Ke-Qin], Li, K.[Kenli],
Recent Trends in Task and Motion Planning for Robotics: A Survey,
Surveys(55), No. 13s, July 2023, pp. xx-yy.
DOI Link 2309
Survey, Motion Planning. Task and motion planning, online planning, learning for planning BibRef

Chen, Y.X.[Ya-Xin], Shen, X.[Xin], Zhang, G.[Guo], Lu, Z.Z.[Ze-Zhong],
Multi-Objective Multi-Satellite Imaging Mission Planning Algorithm for Regional Mapping Based on Deep Reinforcement Learning,
RS(15), No. 16, 2023, pp. 3932.
DOI Link 2309
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Li, F.[Feng], Wan, Q.H.[Qiu-Hua], Wen, F.F.[Fei-Fei], Zou, Y.K.[Yong-Kui], He, Q.[Qien], Li, D.[Da], Zhong, X.[Xing],
Multi-Satellite Imaging Task Planning for Large Regional Coverage: A Heuristic Algorithm Based on Triple Grids Method,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
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Zhang, Z.J.[Zhi-Jun], Guo, J.J.[Jin-Jia], Chen, S.Y.[Si-Yuan], Xu, S.Q.[Song-Qing], Zhang, M.[Mei], Teruo, N.[Nakata], Wang, H.[Hong], Pei, Y.[Yachao],
A Real-Time 3-D Visual Detection-Based Soft Wire Avoidance Scheme for Industrial Robot Manipulators,
SMCS(54), No. 2, February 2024, pp. 827-840.
IEEE DOI 2402
Wires, Manipulators, End effectors, Collision avoidance, Planning, Task analysis, Jacobian matrices, Industrial manipulators, wire detection BibRef

Zhang, J.Q.[Jun-Qi], Zu, P.[Peng], Liu, K.[Kun], Zhou, M.[Mengchu],
A Herd-Foraging-Based Approach to Adaptive Coverage Path Planning in Dual Environments,
Cyber(54), No. 3, March 2024, pp. 1882-1893.
IEEE DOI 2402
Robots, Task analysis, Swarm robotics, Shape, Trajectory, Technological innovation, Real-time systems, swarm robots BibRef


Zhu, H.[Hao], Kapoor, R.[Raghav], Min, S.Y.[So Yeon], Han, W.[Winson], Li, J.[Jiatai], Geng, K.W.[Kai-Wen], Neubig, G.[Graham], Bisk, Y.[Yonatan], Kembhavi, A.[Aniruddha], Weihs, L.[Luca],
EXCALIBUR: Encouraging and Evaluating Embodied Exploration,
CVPR23(14931-14942)
IEEE DOI 2309
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Du, H.M.[He-Ming], Li, L.[Lincheng], Huang, Z.[Zi], Yu, X.[Xin],
Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States,
CVPR23(2563-2573)
IEEE DOI 2309
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Guédon, A.[Antoine], Monnier, T.[Tom], Monasse, P.[Pascal], Lepetit, V.[Vincent],
MACARONS: Mapping and Coverage Anticipation with RGB Online Self-Supervision,
CVPR23(940-951)
IEEE DOI 2309
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Zhou, J.[Junyi], Zhang, Y.[Yanduo], Lu, T.[Tao], Fang, W.H.[Wen-Hua],
Wearing Detection by Multi-Scale Information Fusion Network for Live-Line Working Scenarios,
ICRVC22(228-233)
IEEE DOI 2301
Power line work. Personal protective equipment, Robot kinematics, Object detection, Benchmark testing, Cameras, Safety, protective personal equipment (PPE) BibRef

Lyu, J.H.[Jia-Hao], Ma, T.[Tian], Zhang, W.[Wu], Yang, Y.K.[Yu-Kun],
Mobile Robot Path Planning Based on the Focused Heuristic Algorithm,
ICIVC22(928-933)
IEEE DOI 2301
Costs, Heuristic algorithms, Simulation, Information processing, Search problems, Path planning, Safety, D* Lite, mobile robot, focused search BibRef

Ashutosh, K.[Kumar], Kumar, S.[Saurabh], Chaudhuri, S.[Subhasis],
3D-NVS: A 3D Supervision Approach for Next View Selection,
ICPR22(3929-3936)
IEEE DOI 2212
Solid modeling, Shape, Sensors, Task analysis, Image reconstruction BibRef

Yu, C.[Chao], Yang, X.Y.[Xin-Yi], Gao, J.X.[Jia-Xuan], Yang, H.Z.[Hua-Zhong], Wang, Y.[Yu], Wu, Y.[Yi],
Learning Efficient Multi-Agent Cooperative Visual Exploration,
ECCV22(XXIX:497-515).
Springer DOI 2211
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Ye, K.[Kai], Dong, S.[Siyan], Fan, Q.[Qingnan], Wang, H.[He], Yi, L.[Li], Xia, F.[Fei], Wang, J.[Jue], Chen, B.Q.[Bao-Quan],
Multi-Robot Active Mapping via Neural Bipartite Graph Matching,
CVPR22(14819-14828)
IEEE DOI 2210
Multiplexing, Machine vision, Robot vision systems, Estimation, Reinforcement learning, Sensor systems and applications, Vision applications and systems BibRef

Laoula, E.B.[El_Mehdi Ben], Elfahim, O.[Omar], Youssfi, M.[Mohamed], Bouattane, O.[Omar],
Drone path optimization in complex environment based on Q-learning algorithm,
ISCV22(1-7)
IEEE DOI 2208
Q-learning, Computational modeling, Transportation, Path planning, Intelligent agents, drone BibRef

Abdouni, J.[Jawad], Jarou, T.[Tarik], Waga, A.[Abderrahim], El Idrissi, S.[Sofia], El Mahri, M.[Meryem], Sefrioui, I.[Ihssane],
A new sampling strategy to improve the performance of mobile robot path planning algorithms,
ISCV22(1-7)
IEEE DOI 2208
Costs, Sampling methods, Path planning, Mobile robots, Intelligent systems, Convergence, path planner, RRT, Autonomous mobile robot BibRef

Greer, R.[Ross], Isa, J.[Jason], Deo, N.[Nachiket], Rangesh, A.[Akshay], Trivedi, M.M.[Mohan M.],
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset,
Hazards22(636-644)
IEEE DOI 2202
Roads, Conferences, Path planning, Regulation, Task analysis, Autonomous vehicles BibRef

Shahid, M., Channappayya, S.S.[Sumohana S.],
Aerial Cross-platform Path Planning Dataset,
WAAMI21(3929-3938)
IEEE DOI 2112
Image segmentation, Visualization, Navigation, Image matching, Semantics, Thermal sensors, Path planning BibRef

Lee, J.R.[Jeong Ryong], Kim, S.[Sewon], Park, I.[Inyong], Eo, T.[Taejoon], Hwang, D.[Dosik],
Relevance-CAM: Your Model Already Knows Where to Look,
CVPR21(14939-14948)
IEEE DOI 2111
Deep learning, Location awareness, Analytical models, Visualization, Computational modeling, Transfer learning BibRef

Kanya, K.[Kurauchi], Kanji, T.[Tanaka],
Deep Next-Best-View Planner for Cross-Season Visual Route Classification,
ICPR21(497-502)
IEEE DOI 2105
Visualization, Probability distribution, Classification algorithms, Planning, Pattern recognition, Task analysis BibRef

Dutta, S.[Siddhartha], Rauhut, M.[Markus], Hagen, H.[Hans], Gospodnetic, P.[Petra],
Automatic Viewpoint Estimation for Inspection Planning Purposes,
IML20(675-691).
Springer DOI 2103
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Liu, X.L.[Xue-Li], Yao, Z.Q.[Zhen-Qiu], Wu, B.G.[Bai-Gong], Ling, H.J.[Hong-Jie], Zhu, L.[Lei], Zhang, J.J.[Jun-Jie],
Research On Path Planning Of Hull Decontamination Robot Based On Q-Learning,
CVIDL20(338-341)
IEEE DOI 2102
collision avoidance, learning (artificial intelligence), microcontrollers, mobile robots, remotely operated vehicles, Q-Learning BibRef

Jia, J., Zlatanova, S., Zhang, K.,
Exploring Spatial Parameters to Evaluate Human Walking Accessibility Of Urban Green Space,
Gi4DM20(73-80).
DOI Link 2012
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Beeching, E.[Edward], Dibangoye, J.[Jilles], Simonin, O.[Olivier], Wolf, C.[Christian],
Learning to Plan with Uncertain Topological Maps,
ECCV20(III:473-490).
Springer DOI 2012
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Aghajanzadeh, S., Naidu, R., Chen, S.H., Tung, C., Goel, A., Lu, Y.H., Thiruvathukal, G.K.,
Camera Placement Meeting Restrictions of Computer Vision,
ICIP20(3254-3258)
IEEE DOI 2011
Cameras, Surveillance, Shape, Object tracking, NP-hard problem, Security, Computational Geometry, Camera Placement BibRef

Sadat, A.[Abbas], Casas, S.[Sergio], Ren, M.Y.[Meng-Ye], Wu, X.Y.[Xin-Yu], Dhawan, P.[Pranaab], Urtasun, R.[Raquel],
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations,
ECCV20(XXIII:414-430).
Springer DOI 2011
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Wang, Y.M.[Yi-Ming], del Bue, A.[Alessio],
Where to Explore Next? Exhistcnn for History-Aware Autonomous 3D Exploration,
ECCV20(XXIX: 125-140).
Springer DOI 2010
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Kiciroglu, S., Rhodin, H., Sinha, S.N., Salzmann, M., Fua, P.,
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture,
CVPR20(100-109)
IEEE DOI 2008
Cameras, Drones, Pose estimation, Uncertainty, Bones BibRef

Kamali, K., Bonev, I.A., Desrosiers, C.,
Real-time Motion Planning for Robotic Teleoperation Using Dynamic-goal Deep Reinforcement Learning,
CRV20(182-189)
IEEE DOI 2006
deep reinforcement learning, robot path planning, obstacle avoidance, Teleoperation BibRef

Yang, J., Ren, Z., Xu, M., Chen, X., Crandall, D., Parikh, D., Batra, D.,
Embodied Amodal Recognition: Learning to Move to Perceive Objects,
ICCV19(2040-2050)
IEEE DOI 2004
convolutional neural nets, image segmentation, learning (artificial intelligence), multi-agent systems, Visualization BibRef

Wu, Y., Wu, Y., Tamar, A., Russell, S., Gkioxari, G., Tian, Y.,
Bayesian Relational Memory for Semantic Visual Navigation,
ICCV19(2769-2779)
IEEE DOI 2004
Bayes methods, graph theory, memory architecture, multi-agent systems, navigation, path planning, robot vision, Layout BibRef

Shen, W., Xu, D., Zhu, Y., Fei-Fei, L., Guibas, L., Savarese, S.,
Situational Fusion of Visual Representation for Visual Navigation,
ICCV19(2881-2890)
IEEE DOI 2004
data visualisation, image fusion, image representation, learning (artificial intelligence), Robustness BibRef

Díaz-Vilariño, L., Frías, E., Previtali, M., Scaioni, M., Balado, J.,
Scan Planning Optimization for Outdoor Archaeological Sites,
GEORES19(489-494).
DOI Link 1912
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Ammirato, P.[Phil], Berg, A.C.[Alexander C.], Košecká, J.[Jana],
Active Vision Dataset Benchmark,
DeepLearnRV18(2127-21273)
IEEE DOI 1812
Task analysis, Training, Visualization, Robots, Benchmark testing, Navigation BibRef

Jayaraman, D., Grauman, K.,
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks,
CVPR18(1238-1247)
IEEE DOI 1812
Task analysis, Visualization, Shape, Image reconstruction, Training, Semantics BibRef

Cera, V., Campi, M.,
Evaluating the Potential of Imaging Rover for Automatic Point Cloud Generation,
3DARCH17(147-154).
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Maldonado, O.M.[Oscar Mendez], Hadfield, S.[Simon], Pugeault, N.[Nicolas], Bowden, R.[Richard],
Next-Best Stereo: Extending Next-Best View Optimisation For Collaborative Sensors,
BMVC16(xx-yy).
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Manjanna, S., Hansen, J., Li, A.Q., Rekleitis, I., Dudek, G.,
Collaborative Sampling Using Heterogeneous Marine Robots Driven by Visual Cues,
CRV17(87-94)
IEEE DOI 1804
mobile robots, remotely operated vehicles, wireless sensor networks, collaborative sampling, data sampling, sensor nodes BibRef

Lamb, N.[Nikolas], Banerjee, N.K.[Natasha Kholgade], Banerjee, S.[Sean],
Programmatic 3D Printing of a Revolving Camera Track to Automatically Capture Dense Images for 3D Scanning of Objects,
MMMod18(II:390-394).
Springer DOI 1802
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Paul, S., Vig, L.,
Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces,
AutoRob17(725-733)
IEEE DOI 1802
Aerospace electronics, Path planning, Robot kinematics, Training BibRef

Wu, P.[Ping], Cao, Y.[Yang], He, Y.Q.[Yu-Qing], Li, D.C.[De-Cai],
Vision-Based Robot Path Planning with Deep Learning,
CVS17(101-111).
Springer DOI 1711
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Kaba, M.D., Uzunbas, M.G., Lim, S.N.,
A Reinforcement Learning Approach to the View Planning Problem,
CVPR17(5094-5102)
IEEE DOI 1711
Cameras, Greedy algorithms, Learning (artificial intelligence), Optimization, Planning, Solid modeling, BibRef

Lamini, C., Fathi, Y., Benhlima, S.,
H-MAS architecture and reinforcement learning method for autonomous robot path planning,
ISCV17(1-7)
IEEE DOI 1710
mobile robots, multi-agent systems, multi-robot systems, path planning, Fuzzy Logic System, H-MAS, Holonic MultiAgent System, QET, QMT, autonomous robot path planning, BibRef

Manderson, T.[Travis], Shkurti, F.[Florian], Dudek, G.[Gregory],
Texture-Aware SLAM Using Stereo Imagery and Inertial Information,
CRV16(456-463)
IEEE DOI 1612
SLAM; active sensing; robotics; vision. Gaze control. BibRef

Rasouli, A.[Amir], Tsotsos, J.K.[John K.],
Sensor Planning for 3D Visual Search with Task Constraints,
CRV16(37-44)
IEEE DOI 1612
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Visual Saliency Improves Autonomous Visual Search,
CRV14(111-118)
IEEE DOI 1406
active vision. Cameras BibRef

Chen, J.H.[Jian-Hui], Le, H.M.[Hoang M.], Carr, P.[Peter], Yue, Y.S.[Yi-Song], Little, J.J.[James J.],
Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees,
CVPR16(4688-4696)
IEEE DOI 1612
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Sheinin, M.[Mark], Schechner, Y.Y.[Yoav Y.],
The Next Best Underwater View,
CVPR16(3764-3773)
IEEE DOI 1612
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Ji, S., Yuan, X.,
A Generic Probabilistic Model And A Hierarchical Solution For Sensor Localization In Noisy And Restricted Conditions,
ISPRS16(B1: 193-198).
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Kemper, G., Vasel, R.,
Multi Sensor And Platforms Setups For Various Airborne Applications,
ISPRS16(B1: 211-215).
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Dierenbach, K.O., Weinmann, M., Jutzi, B.,
Next-best-view Method Based On Consecutive Evaluation Of Topological Relations,
ISPRS16(B3: 11-19).
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Gutzwiller, R.S.[Robert S.], Lange, D.S.[Douglas S.],
Tasking Teams: Supervisory Control and Task Management of Autonomous Unmanned Systems,
VAMR16(397-405).
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Francis, R., Estlin, T., Gaines, D., Bornstein, B., Schaffer, S., Verma, V., Anderson, R., Burl, M., Chu, S., Castano, R., Thompson, D., Blaney, D., de Flores, L., Doran, G., Nelson, T., Wiens, R.,
AEGIS autonomous targeting for the Curiosity rover's ChemCam instrument,
AIPR15(1-5)
IEEE DOI 1605
aerospace computing BibRef

Qian, N.Q.[Ning-Qing], Lo, C.Y.[Chao-Yang],
Optimizing camera positions for multi-view 3D reconstruction,
IC3D15(1-8)
IEEE DOI 1603
cameras BibRef

Erfanian, A., Hu, Y.P.[Yao-Ping],
Conflict resolution models on usefulness within multi-user collaborative virtual environments,
3DUI15(147-148)
IEEE DOI 1511
IEC standards Coordinating simultaneous interactions in multi-user collaborative virtual environments. BibRef

Mauro, M.[Massimo], Riemenschneider, H.[Hayko], Signoroni, A.[Alberto], Leonardi, R.[Riccardo], Van Gool, L.J.[Luc J.],
An Integer Linear Programming Model for View Selection on Overlapping Camera Clusters,
3DV14(464-471)
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Combining 3D Shape and Color for 3D Object Recognition,
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Brandao, S.[Susana], Veloso, M.[Manuela], Costeira, J.P.[Joao P.],
Multiple Hypothesis for Object Class Disambiguation from Multiple Observations,
3DV14(91-98)
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Monteiro, P.[Pedro], Ascenso, J.[Joao], Pereira, F.[Fernando],
Local feature selection for efficient binary descriptor coding,
ICIP14(4027-4031)
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Naweed, A.U.[Asad Ullah], Chen, L.[Lu], Dou, M.S.[Ming-Song], Fuchs, H.[Henry],
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Kawashima, K., Yamanishi, S., Kanai, S., Date, H.,
Finding the next-best scanner position for as-built modeling of piping systems,
CloseRange14(313-320).
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Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP,
FusionOutdoor14(754-761)
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Suzuki, S., Mitsukura, Y.,
Mobile Robot Photographer,
ACPR13(742-743)
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cameras. Wander around meeting taking pictures of people who want one. BibRef

Matta, S., Chalhoub, N.G.,
Development of an efficient perception system and a path planning algorithm for autonomous mobile robots,
AIPR13(1-8)
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laser ranging BibRef

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Martian Swarm Exploration and Mapping Using Laser SLAM,
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IEEE DOI 1009
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A learning-based framework for depth ordering,
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IEEE DOI 1208
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Jia, Z.Y.[Zhao-Yin], Chang, Y.J.[Yao-Jen], Chen, T.H.[Tsu-Han],
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IEEE DOI 0910
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Bottino, A.[Andrea],
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Guan, Y.P.[Ye-Peng],
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Zhu, Y.F.[Yun-Fei], Cai, Z.X.[Zi-Xing], Shi, Y.X.[Yue-Xiang],
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Dunn, E.[Enrique], Frahm, J.M.[Jan-Michael],
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Bénitez, S.[Sébastien], Baillard, C.[Caroline],
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Select appropriate camera views from the sequence for optimal display. BibRef

Liu, S.[Shubao], Kang, K.B.[Kong-Bin], Tarel, J.P.[Jean-Philippe], Cooper, D.B.[David B.],
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ISVC08(II: 12-21).
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Burschka, D.,
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compute dynamic placement. BibRef

Ruepp, O.[Oliver], Burschka, D.[Darius],
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Jobst, M.[Markus], Döllner, J.[Jürgen],
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Visual08(xx-yy).
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Lee, H.[Huang], Tessens, L.[Linda], Morbee, M.[Marleen], Aghajan, H.[Hamid], Philips, W.[Wilfried],
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Sequential search of the parts. BibRef

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SCIA07(263-272).
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Blaer, P.S.[Paul S.], Allen, P.K.[Peter K.],
Two Stage View Planning for Large-Scale Site Modeling,
3DPVT06(814-821).
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Efficient Constraint Evaluation Algorithms for Hierarchical Next-Best-View Planning,
3DPVT06(830-837).
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Active View Optimization for Viewing Objects in Motion,
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Paulin, M.[Mads],
Feature Planning for Robust Execution of General Robot Tasks using Visual Servoing,
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Schukat, M.[Michael], O'Beirne, D.[Declam],
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Next view planning for a combination of passive and active acquisition techniques,
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IEEE DOI 0311
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Nguyen, M.C., Radig, B.,
Approach to Object Recognition by Learning Mobile Robots,
DAGM02(411 ff.).
Springer DOI 0303
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Multiscale Feature Extraction from the Visual Environment in an Active Vision System,
VF01(388 ff.).
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Estimating the Next Sensor Position Based on Surface Characteristics,
ICPR00(Vol I: 538-541).
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Vision-based Guidance and Control of Robots in Projective Space,
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The CardEye: a Trinocular Active Vision System,
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Farag, A.A., Abdel-Hakim, A.E.,
Image content-based active sensor planning for a mobile trinocular active vision system,
ICIP04(V: 2913-2916).
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See also Robust Robotic Path Planning Using Level Sets. BibRef

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CVPR99(II: 306-312).
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Richbourg, R.F.[Robert F.], Rotondo, F.S.[Frank S.],
Planning for the Efficient Employment of Image Understanding Assets,
DARPA98(385-400). Sensor placement BibRef 9800

Miyake, Y., Ishihara, K., Shinmori, H., Otsuka, H., Nakai, H., Watanabe, M., Takada, K., Yamashita, K., Araki, T.,
Improvement in Accuracy of Respiration Pattern Detection on Visual Sensing System,
MVA98(xx-yy). BibRef 9800

Gunaratne, P., Sato, Y.,
An Extended Geometric Approach in Active Vision to Detect and Eliminate Specularity in Shiny Colored Objects,
MVA98(xx-yy). BibRef 9800

Stamos, I.[Ioannis], Allen, P.K.[Peter K.],
Interactive Sensor Planning,
CVPR98(489-494).
IEEE DOI
PS File. BibRef 9800

Marjanovic, M., Scassellati, B.[Brian], Wiliamson, M.,
Self-Taught Visually-Guided Pointing for a Humanoid Robot,
DARPA97(215-220). BibRef 9700

Danuser, G.[Gaudenz],
Quanitative Stereo Vision of the Stereo Light Microscope: An Attempt to Provide Control Feedback for a Nanorob System,
Ph.D.Thesis, ETH, Zurich, 1997. BibRef 9700

Papadopoulos-Orfanos, A., Schmitt, F.,
Automatic 3D Digitization Using a Laser Rangefinder with a Small Field of View,
3DIM97(3 - View Planning) 9702
BibRef

Colombo, C., Crowley, J.L.,
Uncalibrated Visual Tasks via Linear Interaction,
ECCV96(II:583-592).
Springer DOI BibRef 9600

Abrams, S., Allen, P.K., Tarabanis, K.A.,
Merging Constraints to Plan Camera Positions and Parameters,
ARPA96(1313-1320). BibRef 9600

Liu, H., Lin, X.,
Model-based Next View Planning By Using Rules: Automatic Feature Prediction and Detection,
CVPR94(773-776).
IEEE DOI BibRef 9400

Chen, C., and Trivedi, M.M.,
Reactive Locomotion Control of a Tracked Mobile Manipulator,
IROS93(1349-1356). Obstacle Avoidance. BibRef 9300

Zheng, J.Y., Kishino, F., Chen, Q., and Tsuji, S.,
Active Camera Controlling for Manipulation,
CVPR91(413-418).
IEEE DOI BibRef 9100

Sutherland, K.T.,
Sensitivity of Feature Configuration in Viewpoint Determination,
DARPA92(315-319). Selecting a viewpoint for seeing a given configuration of points. BibRef 9200

Sobh, T.M., Bajcsy, R.,
Visual Observation under Uncertainty as a Discrete Event Process,
ICPR92(I:429-432).
IEEE DOI BibRef 9200

Abrams, S.[Steven], and Allen, P.K.[Peter K.],
Computing Swept Volumes for Sensor Planning Tasks,
ARPA94(II:1159-1165). BibRef 9400

Gerhardt, L.A., Hyun, K.[Kwangik],
View planning for verification using machine vision,
ICIP94(III: 217-220).
IEEE DOI 9411
BibRef

Soldo, M.H.,
Reactive and Preplanned Control in a Mobile Robot,
DARPA90(792-794). BibRef 9000

Magee, M., Nathan, M.,
Spatial Reasoning, Sensor Repositioning and Disambiguation in 3D Model Based Recognition,
SRMSF87(262-271). BibRef 8700

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
UAV Path or View Planning, Next View .


Last update:Mar 16, 2024 at 20:36:19