15.1.4.3 Search and Rescue Planning, Path Planning

Chapter Contents (Back)
Autonomous Vehicles. Search and Rescue. Path Planning. Drones. UAV. Aerial Autonomous Vehicles. 2507

See also Disaster Management, Emergency Management, Systems and Techniques.

Casper, J., Murphy, R.R.,
Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center,
SMC-B(33), No. 3, June 2003, pp. 367-385.
IEEE Abstract. 0308
BibRef

Murphy, R.R.,
Human-robot interaction in rescue robotics,
SMC-C(34), No. 2, May 2004, pp. 138-153.
IEEE Abstract. 0407
BibRef

Meier, L.[Lorenz], Fraundorfer, F.[Friedrich], and Pollefeys, M.[Marc],
The intelligent flying eye,
SPIE(Newsroom), January 13, 2011.
DOI Link 1101
A micro air vehicle with onboard intelligence can maneuver in hard-to-reach parts of disaster areas and provide video images for search-and-rescue operations. BibRef

Macwan, A., Nejat, G., Benhabib, B.,
Target-Motion Prediction for Robotic Search and Rescue in Wilderness Environments,
SMC-B(41), No. 5, October 2011, pp. 1287-1298.
IEEE DOI 1110
BibRef

Macwan, A., Vilela, J., Nejat, G., Benhabib, B.,
A Multirobot Path-Planning Strategy for Autonomous Wilderness Search and Rescue,
Cyber(45), No. 9, September 2015, pp. 1784-1797.
IEEE DOI 1509
multi-robot systems BibRef

Bozkurt, A., Roberts, D.L., Sherman, B.L., Brugarolas, R., Mealin, S., Majikes, J., Yang, P.[Pu], Loftin, R.,
Toward Cyber-Enhanced Working Dogs for Search and Rescue,
IEEE_Int_Sys(29), No. 6, November 2014, pp. 32-39.
IEEE DOI 1502
artificial intelligence. Not just for people. BibRef

Guizzo, E.,
Rescue-robot show-down,
Spectrum(51), No. 1, January 2014, pp. 52-55.
IEEE DOI 1402
disasters BibRef

Zhao, W., Meng, Q., Chung, P.W.H.,
A Heuristic Distributed Task Allocation Method for Multivehicle Multitask Problems and Its Application to Search and Rescue Scenario,
Cyber(46), No. 4, April 2016, pp. 902-915.
IEEE DOI 1604
Cognition BibRef

Bozkurt, A., Lobaton, E., Sichitiu, M.,
A Biobotic Distributed Sensor Network for Under-Rubble Search and Rescue,
Computer(49), No. 5, May 2016, pp. 38-46.
IEEE DOI 1605
biobotics BibRef

Božic-Štulic, D.[Dunja], Marušic, Ž.[Željko], Gotovac, S.[Sven],
Deep Learning Approach in Aerial Imagery for Supporting Land Search and Rescue Missions,
IJCV(127), No. 9, September 2019, pp. 1256-1278.
Springer DOI 1908
BibRef

Alhaqbani, A.[Amjaad], Kurdi, H.[Heba], Youcef-Toumi, K.[Kamal],
Fish-Inspired Task Allocation Algorithm for Multiple Unmanned Aerial Vehicles in Search and Rescue Missions,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Yang, J.W.[Jing-Wen], Wang, P.[Ping], Yuan, W.[Wubei], Ju, Y.F.[Yong-Feng], Han, W.L.[Wan-Li], Zhao, J.Y.[Jian-You],
Automatic generation of optimal road trajectory for the rescue vehicle in case of emergency on mountain freeway using reinforcement learning approach,
IET-ITS(15), No. 9, 2021, pp. 1142-1152.
DOI Link 2108
BibRef

Ribeiro, R.G.[Roberto G.], Cota, L.P.[Luciano P.], Euzébio, T.A.M.[Thiago A. M.], Ramírez, J.A.[Jaime A.], Guimarăes, F.G.[Frederico G.],
Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios,
SMCS(52), No. 11, November 2022, pp. 6682-6696.
IEEE DOI 2210
Routing, Charging stations, Planning, Drones, Task analysis, Synchronization, Search problems, vehicle routing problem (VRP) with synchronized networks BibRef

Krzysiak, R.[Rafal], Butail, S.[Sachit],
Information-Based Control of Robots in Search-and-Rescue Missions With Human Prior Knowledge,
HMS(52), No. 1, February 2022, pp. 52-63.
IEEE DOI 2201
Robots, Robot sensing systems, Uncertainty, Particle measurements, Atmospheric measurements, Probability density function, teleoperation BibRef

Zhang, N.[Ning], Nex, F.[Francesco], Vosselman, G.[George], Kerle, N.[Norman],
Training a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wu, J.H.[Jie-Hong], Song, C.X.[Cheng-Xin], Ma, J.[Jian], Wu, J.S.[Jin-Song], Han, G.J.[Guang-Jie],
Reinforcement Learning and Particle Swarm Optimization Supporting Real-Time Rescue Assignments for Multiple Autonomous Underwater Vehicles,
ITS(23), No. 7, July 2022, pp. 6807-6820.
IEEE DOI 2207
Task analysis, Real-time systems, Path planning, Heuristic algorithms, Particle swarm optimization, PSO BibRef

Nasar, W.[Wajeeha], da Silva-Torres, R.[Ricardo], Gundersen, O.E.[Odd Erik], Karlsen, A.T.[Anniken T.],
The Use of Decision Support in Search and Rescue: A Systematic Literature Review,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Chen, T.[Te], Cai, Y.F.[Ying-Feng], Chen, L.[Long], Xu, X.[Xing],
Trajectory and Velocity Planning Method of Emergency Rescue Vehicle Based on Segmented Three-Dimensional Quartic Bezier Curve,
ITS(24), No. 3, March 2023, pp. 3461-3475.
IEEE DOI 2303
Trajectory, Trajectory planning, Planning, Optimization, Heuristic algorithms, Collision avoidance, Roads, objective optimization BibRef

Rani, S.[Shalli], Babbar, H.[Himanshi], Kaur, P.[Pardeep], Alshehri, M.D.[Mohammad Dahman], Shah, S.H.[Syed Hassan],
An Optimized Approach of Dynamic Target Nodes in Wireless Sensor Network Using Bio Inspired Algorithms for Maritime Rescue,
ITS(24), No. 2, February 2023, pp. 2548-2555.
IEEE DOI 2302
Location awareness, Wireless sensor networks, Sensors, Global Positioning System, Hidden Markov models, anchor nodes 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
BibRef

Papic, V.[Vladan], Gudelj, A.Š.[Ana Šaric], Milan, A.[Ante], Milicevic, M.[Mario],
Person Mobility Algorithm and Geographic Information System for Search and Rescue Missions Planning,
RS(16), No. 4, 2024, pp. 670.
DOI Link 2402
BibRef

Li, S.[Shuman], Lin, Z.P.[Zhi-Peng], Wang, H.T.[Hao-Tian], Yang, W.J.[Wen-Jing], Liu, H.Z.[Heng-Zhu],
Text-Guided Multi-Class Multi-Object Tracking for Fine-Grained Maritime Rescue,
RS(16), No. 19, 2024, pp. 3684.
DOI Link 2410
BibRef

Moro, S.[Stefano], Linsalata, F.[Francesco], Manzoni, M.[Marco], Magarini, M.[Maurizio], Tebaldini, S.[Stefano],
Enhancing User Localization with an Integrated Sensing and Communication (ISAC) System: An Experimental UAV Search-and-Rescue Use Case,
RS(16), No. 16, 2024, pp. 3031.
DOI Link 2408
BibRef

Jeon, J.[Juil], Ji, M.[Myungin], Lee, J.[Jungho], Han, K.S.[Kyeong-Soo], Cho, Y.[Youngsu],
Deep Learning-Based Emergency Rescue Positioning Technology Using Matching-Map Images,
RS(16), No. 21, 2024, pp. 4014.
DOI Link 2411
Positioning in difficult locations. BibRef

Luan, Q.J.[Qiu-Ji], Cui, H.Y.[Hong-Yan], Yu, X.[Xi], Zhang, L.F.[Li-Feng], Sikdar, B.[Biplab],
An Asynchronous Shuffled Frog-Leaping With Feasible Jaya Algorithm for Uncertain Task Rescheduling Problem in UAV Emergency Networks,
ITS(25), No. 10, October 2024, pp. 13106-13121.
IEEE DOI 2410
E.g. search and rescue with UAV. Task analysis, Uncertainty, Autonomous aerial vehicles, Heuristic algorithms, Job shop scheduling, Dynamic scheduling, fine-grained makespan BibRef

Freeman, M.[Michael], Pritchett, A.[Amy],
Uncrewed Aerial Systems Integration in Coast Guard Search and Rescue Operations,
Computer(58), No. 2, February 2025, pp. 84-89.
IEEE DOI 2502
Autonomous aerial vehicles, System integration, Helicopters, US Department of Defense, Emergency services, Rescue robots BibRef

Wang, D.[Di], Cao, Y.[Yue], Lam, K.Y.[Kwok-Yan], Chi, C.H.[Chi-Hung], Choo, K.K.R.[Kim-Kwang Raymond],
An Accountable GAKA Protocol With Changeable Thresholds and Verifiable Shares in UAVs-Assisted IoVs for Emergency Rescue,
ITS(26), No. 4, April 2025, pp. 5522-5537.
IEEE DOI 2504
Protocols, Autonomous aerial vehicles, Cryptography, Disasters, Authentication, Resilience, Biometrics, key agreement BibRef

Wielgosz, M.[Miroslaw], Malyszko, M.[Marzena],
Multi-Criteria Selection of Surface Units for SAR Operations at Sea Supported by AIS Data,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
Search and Rescue. Automatic Identification System. BibRef


Bahrami, N., Argany, M., Samani, N.N., Vafaeinejad, A.R.,
Designing a Context-aware Recommender System in The Optimization of The Relief and Rescue,
SMPR19(171-177).
DOI Link 1912
BibRef

Azimi, S., Delavar, M.R., Rajabifard, A.,
An optimized multi agent-based modeling of smart rescue operation,
Gi4DM18(93-100).
DOI Link 1805
BibRef

Nejat, G., Zhang, Z.[Zhe],
Finding Disaster Victims: Robot-Assisted 3D Mapping of Urban Search and Rescue Environments via Landmark Identification,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Matsumoto, T., Kitagawa, Y.,
Mobile Motion-tracking System for Rescue Work at Destroyed Buildings,
MVA98(xx-yy). BibRef 9800

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Planning Vehicle Position, Path Planning or Route Planning .


Last update:Sep 10, 2025 at 12:00:25