Vision-Based Autonomous Landing for Unmanned Aerial and Ground Vehicles Cooperative Systems

Niu, Guanchong; Yang, Qiliang; Gao, Yunfan; Pun, Man-On

doi:10.1109/lra.2021.3101882

Cited by 35 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The complexity of urban environments tends to prolong the overall task duration, demanding high endurance requirements for UAVs. The model integrates a UGV to offer autonomous landing and recharging services for UAVs [37,38], thus ensuring mission autonomy. Regarding the autonomous charging aspect, there are currently relevant technologies available on the market.…”

Section: Endurance and Bearing Modelmentioning

confidence: 99%

A Path Planning Method for Collaborative Coverage Monitoring in Urban Scenarios

Xu,

Zhou,

Liu

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

In recent years, unmanned aerial vehicles (UAVs) have become a popular and cost-effective technology in urban scenarios, encompassing applications such as material transportation, aerial photography, remote sensing, and disaster relief. However, the execution of prolonged tasks poses a heightened challenge owing to the constrained endurance of UAVs. This paper proposes a model to accurately represent urban scenarios and an unmanned system. Restricted zones, no-fly zones, and building obstructions to the detection range are introduced to make sure the model is realistic enough. We also introduced an unmanned ground vehicle (UGV) into the model to solve the endurance of the UAVs in this long-time task scenario. The UGV and UAVs constituted a heterogeneous unmanned system to collaboratively solve the path-planning problem in the model. Building upon this model, this paper designs a Three-stage Alternating Optimization Algorithm (TAOA), involving two crucial steps of prediction and rolling optimization. A three-stage scheme is introduced to rolling optimization to effectively address the complex optimization process for the unmanned system. Finally, the TAOA was experimentally validated in both synthetic scenarios and scenarios modeled based on a real-world location to demonstrate their reliability. The experiments conducted in the synthetic scenarios aimed to assess the algorithm under hypothetical conditions, while the experiments in the scenarios based on real-world locations provided a practical evaluation of the proposed methods in more complex and authentic environments. The consistent performance observed across these experiments underscores the robustness and effectiveness of the proposed approaches, supporting their potential applicability in various real-world scenarios.

show abstract

Section: Endurance and Bearing Modelmentioning

confidence: 99%

A Path Planning Method for Collaborative Coverage Monitoring in Urban Scenarios

Xu,

Zhou,

Liu

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…A vision-based independent landing algorithm was proposed for both outdoor and GPS-denied situations. Over 85% of the attempts made with this strategy were successful [26].…”

Section: Normal Landing Approachesmentioning

confidence: 99%

An Image Processing Approach for Real-Time Safety Assessment of Autonomous Drone Delivery

Alsawy,

Moss,

Hicks

et al. 2024

Drones

View full text Add to dashboard Cite

The aim of producing self-driving drones has driven many researchers to automate various drone driving functions, such as take-off, navigation, and landing. However, despite the emergence of delivery as one of the most important uses of autonomous drones, there is still no automatic way to verify the safety of the delivery stage. One of the primary steps in the delivery operation is to ensure that the dropping zone is a safe area on arrival and during the dropping process. This paper proposes an image-processing-based classification approach for the delivery drone dropping process at a predefined destination. It employs live streaming via a single onboard camera and Global Positioning System (GPS) information. A two-stage processing procedure is proposed based on image segmentation and classification. Relevant parameters such as camera parameters, light parameters, dropping zone dimensions, and drone height from the ground are taken into account in the classification. The experimental results indicate that the proposed approach provides a fast method with reliable accuracy based on low-order calculations.

show abstract

“…The first ones are ground-moving docking stations. Some of them are Unmanned Ground Vehicles which have landing systems mounted on, like in [65][66][67][68][69][70][71]. The UGV can be used to swap the battery of a UAV, like in [72] or to wirelessly charge the battery- [35,73,74].…”

Section: Mobile Docking Stationmentioning

confidence: 99%

“…In a recent paper [65], a controller design was proposed for a cooperative UGV-UAV system. In this paper, QR codes were used for precise landings.…”

Section: Detailed Overviewmentioning

confidence: 99%

See 1 more Smart Citation

A Decade of UAV Docking Stations: A Brief Overview of Mobile and Fixed Landing Platforms

Grlj

Krznar²,

Pranjic

2022

Drones

View full text Add to dashboard Cite

Unmanned Aerial Vehicles have advanced rapidly in the last two decades with the advances in microelectromechanical systems (MEMS) technology. It is crucial, however, to design better power supply technologies. In the last decade, lithium polymer and lithium-ion batteries have mainly been used to power multirotor UAVs. Even though batteries have been improved and are constantly being improved, they provide fairly low energy density, which limits multirotors’ UAV flight endurance. This problem is addressed and is being partially solved by using docking stations which provide an aircraft to land safely, charge (or change) the batteries and to take-off as well as being safely stored. This paper focuses on the work carried out in the last decade. Different docking stations are presented with a focus on their movement abilities. Rapid advances in computer vision systems gave birth to precise landing systems. These algorithms are the main reason that docking stations became a viable solution. The authors concluded that the docking station solution to short ranges is a viable option, and numerous extensive studies have been carried out that offer different solutions, but only some types, mainly fixed stations with storage systems, have been implemented and are being used today. This can be seen from the commercially available list of docking stations at the end of this paper. Nevertheless, it is important to be aware of the technologies being developed and implemented, which can offer solutions to a vast number of different problems.

show abstract

Vision-Based Autonomous Landing for Unmanned Aerial and Ground Vehicles Cooperative Systems

Cited by 35 publications

References 23 publications

A Path Planning Method for Collaborative Coverage Monitoring in Urban Scenarios

A Path Planning Method for Collaborative Coverage Monitoring in Urban Scenarios

An Image Processing Approach for Real-Time Safety Assessment of Autonomous Drone Delivery

A Decade of UAV Docking Stations: A Brief Overview of Mobile and Fixed Landing Platforms

Contact Info

Product

Resources

About