Cooperative path planning of USV and UAV swarms under multiple constraints

Yueqi HOU; Hao TAO; Junbin GONG; Xiaolong LIANG; Nuo ZHANG

doi:10.19693/j.issn.1673-3185.02091

[3] NIU H L, SAVVARIS A, TSOURDOS A et al. Voronoi-visibility roadmap-based path planning algorithm for unmanned surface vehicles[J]. The Journal of Navigation, 72, 850-874(2019).

[4] YANG J M, TSENG C M, TSENG P S. Path planning on satellite images for unmanned surface vehicles[J]. International Journal of Naval Architecture and Ocean Engineering, 7, 87-99(2015).

[6] ZHOU X Y, WU P, ZHANG H F et al. Learn to navigate: cooperative path planning for unmanned surface vehicles using deep reinforcement learning[J]. IEEE Access, 7, 165262-165278(2019).

[7] BABEL L. Coordinated target assignment and UAV path planning with timing constraints[J]. Journal of Intelligent & Robotic Systems, 94, 857-869(2019).

[8] WU Y. Coordinated path planning for an unmanned aerial-aquatic vehicle (UAAV) and an autonomous underwater vehicle (AUV) in an underwater target strike mission[J]. Ocean Engineering, 182, 162-173(2019).

[9] CHO J, YOON Y. How to assess the capacity of urban airspace: a topological approach using keep-in and keep-out geofence[J]. Transportation Research Part C: Emerging Technologies, 92, 137-149(2018).

[10] [10] ESRI. ESRI shape file technical deion an ESRI white paper[R]. Redls, CA, USA: Environmental Systems Research Institute, Inc, 1998.

[11] HORMANN K, AGATHOS A. The point in polygon problem for arbitrary polygons[J]. Computational Geometry, 20, 131-144(2001).

[12] [12] QIN A K, SUGANTHAN P N. Selfadaptive differential evolution algithm f numerical optimization[C]2005 IEEE Congress on Evolutionary Computation. Edinburgh, Scotl, UK: IEEE, 2005.