Unmanned aerial vehicles (uavs): Collision avoidance systems and approaches

JN Yasin, SAS Mohamed, MH Haghbayan… - IEEE …, 2020 - ieeexplore.ieee.org
Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision
avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable …

Review on type of sensors and detection method of anti-collision system of unmanned aerial vehicle

NK Chandran, MTH Sultan, A Łukaszewicz, FS Shahar… - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) usage is increasing drastically worldwide as UAVs are used
in various industries for many applications, such as inspection, logistics, agriculture, and …

[HTML][HTML] FFP: A Force Field Protocol for the tactical management of UAV conflicts

J Wubben, CT Calafate, JC Cano, P Manzoni - Ad Hoc Networks, 2023 - Elsevier
In recent years, we have seen a tremendous growth in the adoption of Unmanned Aerial
Vehicles (UAVs). Nowadays, UAVs are used in many different industries such as agriculture …

[HTML][HTML] New multi-UAV formation keeping method based on improved artificial potential field

H Sheng, J Zhang, YAN Zongyuan… - Chinese Journal of …, 2023 - Elsevier
Formation keeping is important for multiple Unmanned Aerial Vehicles (multi-UAV) to fully
play their roles in cooperative combats and improve their mission success rate. However, in …

Collision-free trajectory following with augmented artificial potential field using UAVs

J Goricanec, A Milas, L Markovic, S Bogdan - IEEE access, 2023 - ieeexplore.ieee.org
In this paper we address the problem of trajectory following in an unknown environment with
an unmanned aerial vehicle (UAV). The main goal is to safely follow the planned trajectory …

Path planning with potential field-based obstacle avoidance in a 3D environment by an unmanned aerial vehicle

A Batinovic, J Goricanec, L Markovic… - … on Unmanned Aircraft …, 2022 - ieeexplore.ieee.org
In this paper we address the problem of path planning in an unknown environment with an
aerial robot. The main goal is to safely follow the planned trajectory by avoiding obstacles …

Drones in the Big City: Autonomous Collision Avoidance for Aerial Delivery Services

FMC de Oliveira, LF Bittencourt… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As delivery companies continue to explore the use of drones, the need for efficient and safe
operation in urban environments becomes increasingly critical. Market-wide versions of …

Constrained multi-agent ergodic area surveying control based on finite element approximation of the potential field

S Ivić, A Sikirica, B Crnković - Engineering applications of artificial …, 2022 - Elsevier
Abstract Heat Equation Driven Area Coverage (HEDAC) is a state-of-the-art multi-agent
ergodic motion control guided by a gradient of a potential field. A finite element method is …

An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization

G Ahmed, T Sheltami, M Deriche, A Yasar - Ad Hoc Networks, 2021 - Elsevier
Abstract Internet of Drones (IoD) formation offers a wide variety of applications in military and
civilian environments. In highly congested terrain, dynamic and static obstacles have a …

UAV path planning techniques: a survey

S Ghambari, M Golabi, L Jourdan, J Lepagnot… - RAIRO-Operations …, 2024 - rairo-ro.org
Unmanned Aerial Vehicles (UAVs) are ideally suited for many real-world applications
ranging from scientific to commercial, industrial, and military fields. Enhancing the efficiency …