A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue | Paper Citation Record

Observation 8bdb5e27-83f8-4b5b-a7b3-3b9c47e0fc8b · outbound

This paper cites A comprehensive survey on mobile crowdsensing systems,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue A comprehensive survey on mobile crowdsensing systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.970079Z

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Observation 97a6eb59-3122-4f22-b9b0-1f4560b6be91 · outbound

This paper cites Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.943353Z

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Observation 0d16cf28-c918-4366-a53e-d6c046fcd4df · outbound

This paper cites Drift: A dynamic crowd inflow control system using lstm-based deep reinforcement learn- ing,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Drift: A dynamic crowd inflow control system using lstm-based deep reinforcement learn- ing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.913253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68526008-232a-4722-8931-d4840a48b9e5 · outbound

This paper cites A survey on task assignment in crowdsourcing,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue A survey on task assignment in crowdsourcing,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.899609Z

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Observation d41f8c1d-de4b-4c60-9d1d-596494d0d0df · outbound

This paper cites Towards crowd- sourcing internet of things (crowd-iot): Architectures, security and applications,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Towards crowd- sourcing internet of things (crowd-iot): Architectures, security and applications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.886510Z

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Observation aa782874-42f2-4fdc-8dcf-1614d65a5b86 · outbound

This paper cites Task-oriented wireless communications for collaborative perception in intelligent un- manned systems,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Task-oriented wireless communications for collaborative perception in intelligent un- manned systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.872947Z

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Observation 0657766f-1b05-483f-9a1e-166e060b58f9 · outbound

This paper cites Unified perception and collaborative mapping for connected and autonomous vehicles,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Unified perception and collaborative mapping for connected and autonomous vehicles,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.860057Z

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Observation be83b62f-7765-4a4e-aee2-b2824b806fa2 · outbound

This paper cites A survey and framework of cooperative perception: From heterogeneous singleton to hierarchical cooperation,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue A survey and framework of cooperative perception: From heterogeneous singleton to hierarchical cooperation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.847346Z

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Observation 6ed7528c-fa91-47c7-ac9a-3c340fc4a1f1 · outbound

This paper cites Air-ground spatial crowdsourcing with uav carriers by geometric graph convolutional multi-agent deep reinforcement learning,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Air-ground spatial crowdsourcing with uav carriers by geometric graph convolutional multi-agent deep reinforcement learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.833772Z

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Observation 355c9d3f-9ecd-4e94-a8a6-9d8d7b111db9 · outbound

This paper cites Energy-efficient ground-air-space vehicular crowdsensing by hierarchical multi-agent deep reinforcement learning with diffusion models,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Energy-efficient ground-air-space vehicular crowdsensing by hierarchical multi-agent deep reinforcement learning with diffusion models,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.819943Z

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Observation c4b17752-71a7-445f-aca0-8fe360c7fe17 · outbound

This paper cites The system framework and application research of the parallel emergency management system (pems),.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue The system framework and application research of the parallel emergency management system (pems),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.806105Z

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Observation c9f52503-2851-424e-93dd-2020741bf394 · outbound

This paper cites Parallel emergency management of incidents by integrating ooda and prea loops: The c2 mechanism and modes,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Parallel emergency management of incidents by integrating ooda and prea loops: The c2 mechanism and modes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.792790Z

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Observation 4c3ad42a-a6d3-494b-92a5-c90e007588d7 · outbound

This paper cites Towards time- constrained task allocation in semi-opportunistic mobile crowdsensing,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Towards time- constrained task allocation in semi-opportunistic mobile crowdsensing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.779950Z

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Observation 6bc3529b-8e7c-4e5f-8b84-e1f362eee168 · outbound

This paper cites Optimal resource allocation for uav-relay-assisted mobile crowdsensing,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Optimal resource allocation for uav-relay-assisted mobile crowdsensing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.767126Z

Source-reported events for the cited work

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Observation 8b145712-b9ab-4b29-8e11-120ef19ea565 · outbound

This paper cites Mappo-based cooperative uav trajectory design with long-range emergency communications in disaster areas,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Mappo-based cooperative uav trajectory design with long-range emergency communications in disaster areas,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.753572Z

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Observation af6355f3-301b-4223-82e3-3982b4d360e1 · outbound

This paper cites Disaster-resilient emergency communication with intelligent air–ground cooperation,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Disaster-resilient emergency communication with intelligent air–ground cooperation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.738577Z

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Observation f80745fc-aa35-44ec-900f-81ac3a9e7b0d · outbound

This paper cites Task search and alloca- tion strategy for heterogeneous multiagent systems under communication constraints,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Task search and alloca- tion strategy for heterogeneous multiagent systems under communication constraints,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.725161Z

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Observation 0f61cc80-ab7c-4917-a37a-a33551fb6cc6 · outbound

This paper cites Cooperative multi- aav path planning for discovering and tracking multiple radio-tagged targets,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Cooperative multi- aav path planning for discovering and tracking multiple radio-tagged targets,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.711601Z

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Observation 73ea8c17-6836-407a-a599-6829bd17211c · outbound

This paper cites Robust training in multiagent deep reinforcement learning against optimal adversary,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Robust training in multiagent deep reinforcement learning against optimal adversary,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.698612Z

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Observation d35a4077-fe0b-4adf-be4c-cad4775a3ee7 · outbound

This paper cites Sensors on the internet of things systems for urban disaster management: a systematic literature review,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Sensors on the internet of things systems for urban disaster management: a systematic literature review,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.684994Z

Source-reported events for the cited work

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Observation eec004b5-6693-403f-92b4-9c24fff61d1c · outbound

This paper cites Optimization of emergency rescue routes after a violent earthquake,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Optimization of emergency rescue routes after a violent earthquake,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.670980Z

Source-reported events for the cited work

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Observation 784d75c3-0f6d-4ef1-bc50-61a8c11a51b6 · outbound

This paper cites Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Autonomous unmanned aerial vehicles in bushfire management: Challenges and opportunities,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.655843Z

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Observation 230b68b7-45ac-49ef-919f-7f507ed45c39 · outbound

This paper cites Gacf: Ground-aerial collaborative framework for large-scale emergency rescue scenarios,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Gacf: Ground-aerial collaborative framework for large-scale emergency rescue scenarios,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.641143Z

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Observation 185431d8-7017-4a18-8fe3-7d6f88224e8a · outbound

This paper cites Cooperative unmanned surface vehicles and unmanned aerial vehicles platform as a tool for coastal monitoring activities,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Cooperative unmanned surface vehicles and unmanned aerial vehicles platform as a tool for coastal monitoring activities,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.626989Z

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Observation 102980b2-a80e-49a9-bd49-2c9289046c02 · outbound

This paper cites Human detection and action recognition for search and rescue in disasters using yolov3 algorithm,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Human detection and action recognition for search and rescue in disasters using yolov3 algorithm,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.612515Z

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Observation 5aa24dc5-6dde-44e1-9630-6c2ac0a3a0c9 · outbound

This paper cites A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insights,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insights,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.598376Z

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Observation de2c5cbb-9b6d-40ff-b533-8a2664769983 · outbound

This paper cites Unmanned aerial vehicles for search and rescue: A survey,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Unmanned aerial vehicles for search and rescue: A survey,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:11.158608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d4f407-b407-4858-8d1b-7a4a269d5435 · outbound

This paper cites A crowd- aided vehicular hybrid sensing framework for intelligent transportation systems,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue A crowd- aided vehicular hybrid sensing framework for intelligent transportation systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.574783Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 739228ff-6d2b-441d-80ca-51b294950f55 · outbound

This paper cites Cooperative uav trajectory design for disaster area emergency communications: A multiagent ppo method,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Cooperative uav trajectory design for disaster area emergency communications: A multiagent ppo method,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.561544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e460a60-32ea-47f1-bb63-032329f823c2 · outbound

This paper cites Collab- orative route planning of uavs, workers, and cars for crowdsensing in disaster response,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Collab- orative route planning of uavs, workers, and cars for crowdsensing in disaster response,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.547994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14deaee0-dcdf-4472-87e3-5494b1a4065f · outbound

This paper cites Decentralized task assignment for mobile crowd- sensing with multi-agent deep reinforcement learning,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Decentralized task assignment for mobile crowd- sensing with multi-agent deep reinforcement learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.534126Z

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Observation 7db605fd-9f07-4c47-88ec-19f87e00a7d6 · outbound

This paper cites Ensuring threshold aoi for uav-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Ensuring threshold aoi for uav-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.519593Z

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Observation be67d6dd-e7f4-474b-8284-76d98dac80a8 · outbound

This paper cites Exploring both individuality and cooperation for air-ground spatial 16 crowdsourcing by multi-agent deep reinforcement learning,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Exploring both individuality and cooperation for air-ground spatial 16 crowdsourcing by multi-agent deep reinforcement learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.506242Z

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Observation de0dcba2-31bf-4b6e-9da1-d3330cbfc96b · outbound

This paper cites Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:34:11.323838Z

Source-reported events for the cited work

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Observation 7f70d911-2e1c-49c8-947f-4d7bbad160a9 · outbound

This paper cites Energy-efficient 3d vehicular crowdsourcing for disaster response by distributed deep reinforcement learning,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Energy-efficient 3d vehicular crowdsourcing for disaster response by distributed deep reinforcement learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.492137Z

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Observation 5f96448a-ec90-4533-85d3-35c06857fba1 · outbound

This paper cites Pomdp inference and robust solution via deep reinforce- ment learning: An application to railway optimal maintenance,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Pomdp inference and robust solution via deep reinforce- ment learning: An application to railway optimal maintenance,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.478925Z

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Observation 8d21c0e2-0956-4bbb-b19a-a6928881da6f · outbound

This paper cites Informed POMDP: Leveraging Additional Information in Model-Based RL.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Informed POMDP: Leveraging Additional Information in Model-Based RL

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Resolution: verified exact; local_arxiv, observed 2026-08-15T22:34:11.302761Z

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Observation 24b9feae-ceb0-4fab-b543-bfdb6865213c · outbound

This paper cites An effective cnn and transformer com- plementary network for medical image segmentation,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue An effective cnn and transformer com- plementary network for medical image segmentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.465159Z

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Observation 065b02a1-ff00-4a84-ae26-5c9db53939b3 · outbound

This paper cites A comprehensive overview and comparative analysis on deep learning models,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue A comprehensive overview and comparative analysis on deep learning models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.451269Z

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Observation 14b5a24a-cb95-4c3c-9211-ae08216c2c98 · outbound

This paper cites An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T22:34:11.213822Z

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Observation abf7f1ef-b04c-4c9f-b754-7548a4f24956 · outbound

This paper cites Intelligent routing method based on dueling dqn reinforcement learning and net- work traffic state prediction in sdn,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Intelligent routing method based on dueling dqn reinforcement learning and net- work traffic state prediction in sdn,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.437497Z

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Observation 4bf4a882-a407-4422-a2e6-4dcca883e63b · outbound

This paper cites Monotonic value function factorisation for deep multi- agent reinforcement learning,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.423913Z

Source-reported events for the cited work

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Observation 72ea18b5-b7fb-4cde-95e7-3a6569d88936 · outbound

This paper cites Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.410397Z

Source-reported events for the cited work

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Observation cd907e37-d861-42c5-8a28-7e993a6df660 · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.395569Z

Source-reported events for the cited work

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Observation 0bf045bb-f017-4f96-9e06-776f0d749e02 · outbound

This paper cites Online organizing large-scale heterogeneous tasks and multi-skilled participants in mobile crowdsensing,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Online organizing large-scale heterogeneous tasks and multi-skilled participants in mobile crowdsensing,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.381468Z

Source-reported events for the cited work

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Observation d61abab3-4df8-4390-99ff-9d332291c285 · outbound

This paper cites Human-drone collaborative spatial crowdsourcing by memory- augmented and distributed multi-agent deep reinforcement learning,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Human-drone collaborative spatial crowdsourcing by memory- augmented and distributed multi-agent deep reinforcement learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.367457Z

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Observation 841ef362-09a8-4935-bfe3-4fa4ffc7d826 · outbound

This paper cites Modeling human steering behavior in teleoperation of unmanned ground vehicles with varying speed,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Modeling human steering behavior in teleoperation of unmanned ground vehicles with varying speed,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.353077Z

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Observation 6dfa1901-079b-4c0a-aa62-1a07a21fc967 · outbound

This paper cites 3d building model generation from mls point cloud and 3d mesh using multi-source data fusion,.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue 3d building model generation from mls point cloud and 3d mesh using multi-source data fusion,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:11.338596Z

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