Online path planning for kinematic-constrained UAVs in a dynamic environment based on a Differential Evolution algorithm
Freitas, Elias J. R., Cohen, Miri Weiss, Guimarães, Frederico G., Pimenta, Luciano C. A.
–arXiv.org Artificial Intelligence
In our recent work [5], we proposed a novel Differential The increasing use of fixed-wing Unmanned Aerial Vehicles Evolution-based path planner that handles kinematicconstrained (UAVs) is driven by several factors, such as longrange, UAVs. In this approach, we also show that high speeds, and superior payload capacity compared using the Non-Uniform Rational B-spline (NURBS) curve as to quadrotors. Combined with motion planning strategies, the path representation can provide a more flexible planner these advantages enable fixed-wing UAVs also to navigate than using the B-spline representation.
arXiv.org Artificial Intelligence
Oct-24-2024
- Country:
- South America > Brazil > Minas Gerais (0.16)
- Genre:
- Research Report (0.65)
- Industry:
- Aerospace & Defense > Aircraft (0.35)
- Information Technology > Robotics & Automation (0.35)
- Technology: