[HTML][HTML] An integrated geometric obstacle avoidance and genetic algorithm tsp model for uav path planning

D Debnath, F Vanegas, S Boiteau, F Gonzalez - Drones, 2024 - mdpi.com
In this paper, we propose an innovative approach for the path planning of Uninhabited
Aerial Vehicles (UAVs) that combines an advanced Genetic Algorithm (GA) for optimising …

[HTML][HTML] Unmanned Aerial Vehicles for Real-Time Vegetation Monitoring in Antarctica: A Review

K Lockhart, J Sandino, N Amarasingam, R Hann… - Remote Sensing, 2025 - mdpi.com
The unique challenges of polar ecosystems, coupled with the necessity for high-precision
data, make Unmanned Aerial Vehicles (UAVs) an ideal tool for vegetation monitoring and …

TEeVTOL: Balancing Energy and Time Efficiency in eVTOL Aircraft Path Planning Across City-Scale Wind Fields

S Liu, S Li, H Li, W Li, J Tan - ar** using semantic observations
N Mandel - 2023 - eprints.qut.edu.au
This research was a step towards enabling Unmanned Aerial Vehicles to use semantic
information for navigation. A navigation framework was established, a method to address …