A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres

By S. Campbell, Wasif Naeem, George W. Irwin. Annual Reviews in Control, 2012

463 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Ocean Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/56ea8f0c38ee20b82889b50cea754d47a5262311

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jorge Peña Queralta
2. Hannu Tenhunen
3. Tomi Westerlund
4. Bilge Can Pullinen
5. Jenni Raitoharju
6. Hongguang Lyu
7. Yong Yin
8. Tuan Nguyen Gia

In Ocean Engineering

1. Hongguang Lyu
2. Yong Yin

Citations in the corpus

• Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision (2020, background): “Multiple works have been devoted to reviewing the different path planning strategies for unmanned vehicles in different mediums: aerial robots [133], surface robots [148], underwater robots [149], [150], and ground robots for urban [55], or wilderness [151] environments.”
• COLREGS-Constrained Real-time Path Planning for Autonomous Ships Using Modified Artificial Potential Fields (2018, background): “The reactive avoidance routine of the OS in an emergency collision situation should be considered to ensure safety (Campbell et al., 2012).”