Autonomous and intelligent unmanned surface vehicles (USVs) have a wide range of applications in science, commerce, and military fields. Due to the underactuated nature commonly possessed by USVs and the complexity of the maritime environment, the path planning for USVs remains an extremely challenging issue and is also a key technology for USVs. This paper reviews the existing algorithms and the latest research on traditional global and local path planning, intelligent path planning, swarm path planning, and path optimization for USVs. The various constraints considered in USV path planning are summarized and the innovative points, performance, limitations, and practical application scenarios of various path planning methods are analyzed comparatively. The importance of evaluating path under multi−constraint conditions is analyzed and emphasized. Based on existing problems and future trends, some suggestions for future research are proposed.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |