@article{GENERAL,
      author = {Liu, W and Liu, Y and Song, R and Bucknall, R},
      url = {http://library.imarest.org/record/7693},
      journal = {Conference Proceedings of INEC},
      title = {Towards intelligent navigation in future autonomous  surface vessels: developments, challenges and strategies},
      abstract = {There is an increasing trend in developing autonomous  surface vessels (ASVs) for a range of maritime activities  including transportation, search and rescue and naval  operations. Autonomy potentially offers economic benefits,  reduced cost, increased operation efficiency and reduced  risk. Autonomy means less reliance on human operators,  replaced with intelligent decision-making systems.  Currently, such intelligence is achieved using  sophisticated autonomous navigation systems which may be  considered as consisting of three core modules; namely the  sensor and data acquisition system, the intelligent  planning system, and the automatic control (auto-pilot)  system. This paper discusses the state-of-the-art  development with a particular interest in reliable and  accurate environment awareness. Advantages of using key  technologies such as filtering algorithms, fuzzy-logic and  statistical learning in autonomous navigation for ASVs have  been demonstrated and discussed.<br>
Future work also  reflects intriguing insights in employing heterogenous  sensory modules including LiDAR, radar and vision systems  in next generation maritime autonomous navigation.},
      number = {GENERAL},
      recid = {7693},
      address = {2020-10-05},
}