A UAV Search and Rescue Scenario with Human Body Detection and Geolocalization

@inproceedings{Doherty2007AUS,
  title={A UAV Search and Rescue Scenario with Human Body Detection and Geolocalization},
  author={Patrick Doherty and Piotr Rudol},
  booktitle={Australian Conference on Artificial Intelligence},
  year={2007}
}
  • P. DohertyP. Rudol
  • Published in
    Australian Conference on…
     2 December 2007
  • Computer Science
The use of Unmanned Aerial Vehicles (UAVs) which can operate autonomously in dynamic and complex operational environments is becoming increasingly more common. The UAVTech Lab, is pursuing a long term research endeavour related to the development of future aviation systems which try and push the envelope in terms of using and integrating high-level deliberative or AI functionality with traditional reactive and control components in autonomous UAV systems. In order to carry on such research, one… 
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306 Citations
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306 Citations

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Human Body Detection and Geolocalization for UAV Search and Rescue Missions Using Color and Thermal Imagery

A technique which allows detecting humans at a high frame rate on standard hardware onboard an autonomous UAV in a real-world outdoor environment using thermal and color imagery and a map of points of interest is built.

Real-Time Heuristic Framework for Safe Landing of UAVs in Dynamic Scenarios

The aim of this approach is to detect safe potential landing zones (PLZ), and find the best one to land in, and the approach tested on the real-world environments have shown better results from existing work.

Place recognition for GNSS-denied autonomous multi-robot search and rescue

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Communication and Autonomous Control of Multi-UAV System in Disaster Response Tasks

This paper presents a multi-UAV system for scanning and tracking missions and reveals the scientific scenes of communications and controls between multiple UAVs and Ground Control Stations (GCSs).

Adaptive search control applied to Search and Rescue operations using Unmanned Aerial Vehicles (UAVs)

Despite there being some researches about unmanned aerial vehicle (UAV), operations with this kind of robots are not yet occurring in search and rescue (SAR) operations. Using adaptive concepts, a…

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The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil application domains, including real-time monitoring, providing wireless coverage, remote sensing, search and rescue,…

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A new method to build safe maps through disaster‐stricken zones by taking advantage of different scenarios of tracking pedestrians and area scanning by exploiting the tracking systems of unmanned aerial vehicles (UAVs), which enable both image processing and mobile tracking depending on the scenario.

UAV cooperative search in dynamic environment based on hybrid-layered APF

Simulation results show that compared with the hybrid artificial potential field and ant colony optimization and IAPF, HL-APF can significantly improve the number of targets and mission area coverage and verified the robustness of the method under the failure of some UAVs.

Complex manoeuvres of heterogeneous MAV-UGV formations using a model predictive control

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...

References

SHOWING 1-10 OF 16 REFERENCES

Advanced Research with Autonomous Unmanned Aerial Vehicles

The emerging area of intelligent unmanned aerial vehicle (UAV) research has shown rapid development in recent years and offers a great number of research challenges for artificial intelligence and…

From Motion Planning to Control - A Navigation Framework for an Autonomous Unmanned Aerial Vehicle

A motion planning framework which integrates two sample-based motion planning techniques, Probabilistic Roadmaps and Rapidly Exploring Random Trees together with a path following controller that is used during path execution, which offers a surprisingly efficient method for dynamic replanning of a motion plan based on unforeseen contingencies which may arise during the execution of a plan.

A Distributed Architecture for Autonomous Unmanned Aerial Vehicle Experimentation

A prototype distributed architecture for autonomous unmanned aerial vehicle experimentation is presented which supports the development of intelligent capabilities and their integration in a robust, scalable, plug-and-play hardware/software architecture.

Knowledge Representation and Unmanned Aerial Vehicles

This article provides an overview of some of the knowledge representation technologies and deliberative capabilities developed for a fully deployed autonomous unmanned aerial vehicle system to meet some of these challenges.

DyKnow: An approach to middleware for knowledge processing

DyKnow is a software framework which provides a set of functionalities for contextually accessing, storing, creating and processing qualitative knowledge and object structures representing aspects of its environment on the fly from raw or preprocessed sensor data.

A knowledge processing middleware framework and its relation to the JDL data fusion model

  • F. HeintzP. Doherty
  • Computer Science
    2005 7th International Conference on Information Fusion
  • 2005
DyKnow is a knowledge processing middleware framework which provides a set of functionalities for contextually creating, storing, accessing and processing such structures and is a working instantiation of many aspects of the revised JDL data fusion model.

TALplanner: A Temporal Logic-Based Planner

An overview of TALplanner, a forward-chaining planner that utilizes domain-dependent knowledge to control search in the state space generated by action invocation, which won the Outstanding Performance Award in the Domain-Dependent Planning Competition.

Rapid object detection using a boosted cascade of simple features

  • Paul A. ViolaMichael J. Jones
  • Computer Science
    Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
  • 2001
A machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates and the introduction of a new image representation called the "integral image" which allows the features used by the detector to be computed very quickly.

An extended set of Haar-like features for rapid object detection

This paper introduces a novel set of rotated Haar-like features that significantly enrich the simple features of Viola et al. scheme based on a boosted cascade of simple feature classifiers.

Fast and Robust Face Finding via Local Context

A detector that actively utilizes the idea of local context to gain robustness that goes beyond the capabilities of traditional face detection making it particularly interesting for surveillance.