Safe Maritime Autonomous Navigation With COLREGS, Using Velocity Obstacles
By Yoshiaki Kuwata, Michael T. Wolf, D. Zarzhitsky, T. Huntsberger. IEEE Journal of Oceanic Engineering, 2014
413 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/bbd4936c4374d8cec002b84d4b2a127f8dea64ff
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In Computer Vision and Pattern Recognition
In Ocean Engineering
Citations in the corpus
- Path Planning for Autonomous Mobile Robots: A Review (2021, methodology): “Velocity Obstacles methods calculate a safe trajectory considering the velocity vectors of both the robotic agent and any other moving obstacle [89,90].”
- COLREGS-Constrained Real-time Path Planning for Autonomous Ships Using Modified Artificial Potential Fields (2018, methodology): “…in recent years, such as Artificial Potential Fields (APF) (Lee et al., 2004; Xue et al., 2011; Lyu and Yin, 2017), a Velocity Obstacle (VO) (Kuwata et al., 2014), a Trajectory-Based Algorithm (TBA) (Lazarowska, 2017), the Ant Colony Optimisation (ACO) method (Lazarowska, 2015),…”
- Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment (2016, background): “The nominal scenario (guidance along the nominal path with no course offset and at nominal speed) is accepted if the hazard is sufficiently low.”
- A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents (2018, background): “Recently, several efforts have been made to integrate COLREGs in path planning algorithms for USVs (Svec et al., 2013, Kuwata et al., 2014).”