Toward an Augmented Reality Representation of Collision Risks in Harbors

In ports with a significant density of non-AIS vessels, there is an increased risk of collisions. This is because physical limitations restrict the maneuverability of AIS vessels, while small vessels that do not have AIS are unpredictable. To help with collision prevention, we propose an augmented reality system that detects vessels from video stream and estimates speed with a single sideway-mounted camera. The goal is to visualize a cone for risk assessment. The estimation of speed is executed by geometric relations between the camera and the ship, which were used to estimate distances between points in a known time interval. The most important part of the proposal is vessel speed estimation by a monocular camera validated by a laser speed measurement. This will help port authorities to manage risks. This system differs from similar trials as it uses a single stationary camera linked to the authorities and not to the bridge crew.