Autonomous route planning for UAV when threats are uncertain

Wu, Jian; Zhang, Donghao; Pei, Denghong

doi:10.1109/cgncc.2014.7007214

Cited by 12 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ignoring the effects of the weather will not result in more realistic answers (Erfani & Tavakolan 2020), as flying with the wind can cut energy usage, and cold temperatures can harm battery performance (Dorling et al 2016). As weather changes over time in a stochastic manner (Wu et al 2014), one must expect that the fuel consumption of a particular route will vary at different times (Thibbotuwawa et al 2018). It's critical that the drone be highly mobile and unaffected by the surroundings (Tang & Shao 2015).…”

Section: Environmentmentioning

confidence: 99%

An Overview of Drone Energy Consumption Factors and Models

Beigi¹,

Rajabi²,

Aghakhani³

2022

Preprint

View full text Add to dashboard Cite

Today, there are increasing demands for flying drones with diverse capabilities for civilian and military uses, and there is growing attention given to this topic. When it comes to drone operations, the amount of energy they consume is a determining factor in their ability to achieve their full potential. According to the nature of the problem, it appears that it is necessary to identify the factors affecting the energy consumption of UAVs during the execution of missions as well as examine the general factors that influence the consumption of energy. The purpose of this chapter is to provide an overview of the current state of research in the area of UAV energy consumption. This is followed by general categorizations of factors affecting UAV's energy consumption as well as an investigation of different energy models.

show abstract

Section: Environmentmentioning

confidence: 99%

An Overview of Drone Energy Consumption Factors and Models

Beigi¹,

Rajabi²,

Aghakhani³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…In outdoor route optimization for UAVs, we must deal with the following stochastic conditions, which have received limited attention in the current state. Stochastic conditions influencing the UAV routing can be identified under weather conditions [14,90,133], air traffic control [7,14,[133][134][135], fuel consumption, and range [136][137][138][139][140][141].…”

Section: Challenges In Uav Routingmentioning

confidence: 99%

“…influencing the UAV routing can be identified under weather conditions [14,90,133], air traffic control [7,14,[133][134][135], fuel consumption, and range [136][137][138][139][140][141].…”

Section: Weather Conditionsmentioning

confidence: 99%

“…The current state of research has not considered the weather factors and ignores the impact of weather on performance [68,84,94]. Interestingly, this seems to add another type of SVRP that should be considered as weather is changing over time in a stochastic manner [134]. Rarely has research focused on considering wind conditions on energy consumption while simultaneously using that information in routing of UAVs [14,137,139].…”

Section: Weather Conditionsmentioning

confidence: 99%

See 1 more Smart Citation

Unmanned Aerial Vehicle Routing Problems: A Literature Review

et al. 2020

View full text Add to dashboard Cite

Unmanned aerial vehicle (UAV) routing is transitioning from an emerging topic to a growing research area as the 3D flexible utilization of airspace, promogulated by UAVs, is a potential game changer in solving the urban air mobility challenge by allowing to reshape transportation and logistics in the future. This has revealed a need to classify different types of research and examine the general characteristics of the research area. This research aims to assist in identifying the main topics and emerging research streams and provides a published overview of the current state and contributions to the area of the UAV routing problem (UAVRP) and a general categorization of the vehicle routing problem (VRP) followed by a UAVRP classification with a graphical taxonomy based on the analysis of UAVRP current status. To achieve this, an analysis of the existing research contributions promulgated in this domain is conducted. This analysis is used to identify the current state of UAVRP and the gaps related to the UAVs’ flight dynamics and weather conditions, which significantly influence the fuel consumption of the UAV when modeling the UAVRP.

show abstract

“…Most researches focus on path planning of special aircraft (UAV, military aircraft, etc.). Reference [1] designed an autonomous route planning platform for UAV. An effective route is planned based on known mission environment information, which can control the flight of UAV and carry out flight status monitoring and other functions.…”

Section: Introductionmentioning

confidence: 99%

A fast route planning algorithm for civil aircraft test flight

CHEN,

ZHOU,

et al. 2023

International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023)

View full text Add to dashboard Cite

In the process of civil aircraft test flight, different test flight subjects need to be carried out in different natural environments, so it is necessary to conduct frequent transfer flights; In addition, there are functional and reliability test flights, route demonstration flights and other route flight tasks during the process of civil aircraft test flight. As the test flight aircraft has not obtained the type certificate, there are many special restrictions on airworthiness conditions. So it is necessary to make special route for test flight aircraft. In this paper, we present a fast planning algorithm for civil aircraft test flight routes, which takes into account the special requirements of test aircraft for routes, incorporates Dijkstra's algorithm, and can quickly construct routes suitable for test aircraft by combining existing route resources, and gives an implementation example of the algorithm. The results show that the route planned by this method is effective and reliable.

show abstract

Autonomous route planning for UAV when threats are uncertain

Cited by 12 publications

References 6 publications

An Overview of Drone Energy Consumption Factors and Models

An Overview of Drone Energy Consumption Factors and Models

Unmanned Aerial Vehicle Routing Problems: A Literature Review

A fast route planning algorithm for civil aircraft test flight

Contact Info

Product

Resources

About