Autonomous ships are expected to improve the level of safety and efficiency in future
maritime navigation. Such vessels need perception for two purposes: to perform …

Brain-inspired algorithms have become a new trend in next-generation artificial intelligence.
Through research on brain science, the intelligence of remote sensing algorithms can be …

Unmanned surface vehicles (USVs) are typically designed for open area marine
applications. In this paper, we present a new autonomy system (Roboat) for urban …

Deep learning-based visual perception of an unmanned surface vehicle (USV) essentially
benefits from informative images. It is unfortunately short of available datasets of marine …

Visual object tracking plays an essential role in various maritime applications. However,
most of the existing tracking methods belong to generative models, which only focus on the …

In this paper, we present a method for detecting and tracking waterborne obstacles from an
unmanned surface vehicle (USV) for the purpose of short-term obstacle avoidance. A stereo …

The paper discusses autocalibration, object detection, and object tracking for unmanned
surface vehicles. Input data are recorded with a wide-baseline stereo vision system …

Among various sensors used to recognize obstacles in marine environments, vision sensors
are the most basic. Vision sensors are significantly affected by the surrounding environment …

Unmanned surface vehicles (USV) is the development trend of future ships, and it will be
widely used in various kinds of marine tasks. Obstacle avoidance is one key technology for …

The research of unmanned surface vehicles (usually called USV) is becoming a research
hotspot, and real-time and accurate environmental perception is the key technology for …