FPGA based offline 3D UAV local path planner using evolutionary algorithms for unknown environments

Bayrak, Abdurrahman; Efe, Mehmet Önder

doi:10.1109/iecon.2016.7793243

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Many path planning approaches also use optimization methods such as particle swarm optimization [19,41], ant colony optimization [42,43], genetic algorithm [16,18,25,[43][44][45], evolutionary algorithms [22][23][24], and MILP [46][47][48] to find optimal paths. In [43], ant colony and genetic algorithm are used to find a path considering sensing, energy, time, and risk constraints.…”

Section: Related Workmentioning

confidence: 99%

Reservation-Based 3D Intersection Traffic Control System for Autonomous Unmanned Aerial Vehicles

Rubenecia

Choi

2022

Electronics

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We present a three-dimensional (3D) intersection traffic management platform for small autonomous Unmanned Aerial Vehicles (UAVs), particularly quadcopters, in urban airspace. Assuming many autonomous UAVs are approaching a shared airspace, where UAVs have varying sources and destinations, we propose a system model for a 3D intersection that aims to provide safe and systematic management of UAVs. We also devised a scheduling scheme to ensure that the intersection is efficiently utilized and that there are no collisions among the UAVs in the intersection. The scheduling scheme applies the reservation-based approach, which is sensitive to the sequence of the UAVs in scheduling, thus genetic algorithm is used to determine the best sequence of the UAVs. Simulations were performed to evaluate the efficiency of the system. We also show through the simulations that our scheduling scheme reduces the UAVs’ average time in the system by 27 percent compared with when the UAVs are scheduled in a first-come, first-served manner for the highly crowded intersection.

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Section: Related Workmentioning

confidence: 99%

Reservation-Based 3D Intersection Traffic Control System for Autonomous Unmanned Aerial Vehicles

Rubenecia

Choi

2022

Electronics

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A novel framework for UAV returning based on FPGA

Chen

Zou

et al. 2020

J Supercomput

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On the use of field programmable gate arrays in light detection and ranging systems

Leoni

Esposito

Stornelli

et al. 2021

Review of Scientific Instruments

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This work aims to provide details on the latest technological developments regarding LiDAR (Light Imaging Detection And Ranging) systems, with particular reference to the techniques, architectures, and methodologies partially or entirely implemented by means of the FPGA (Field Programmable Gate Array) environment. Currently, LiDAR technology is considered of great interest as it is widely employed in a variety of application fields, such as automotive, seismology, archaeology, metrology, and military. For this reason, the required performances are gradually increasing, which leads to complex and stringent solutions. The growth in LiDAR systems’ complexity suggests the use of high-end general-purpose computing units such as central processing units to perform very complex tasks and FPGAs to perform multiple tasks in real-time through the implementation of dedicated computational blocks. The latter, in recent architectures, are therefore used for the execution of specific tasks that require high computational speed and system flexibility. This paper reports some case studies recently applied in the LiDAR field, with the aim of illustrating the role of FPGA technology and its benefits.

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FPGA based offline 3D UAV local path planner using evolutionary algorithms for unknown environments

Cited by 4 publications

References 17 publications

Reservation-Based 3D Intersection Traffic Control System for Autonomous Unmanned Aerial Vehicles

Reservation-Based 3D Intersection Traffic Control System for Autonomous Unmanned Aerial Vehicles

A novel framework for UAV returning based on FPGA

On the use of field programmable gate arrays in light detection and ranging systems

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