Short-term tracking is an open and challenging problem for which discriminative correlation
filters (DCF) have shown excellent performance. We introduce the channel and spatial …

The progress in maritime obstacle detection is hindered by the lack of a diverse dataset that
adequately captures the complexity of general maritime environments. We present the first …

Sea-surface object detection is critical for navigation safety of autonomous ships. Electro-
optical (EO) sensors, such as video cameras, complement radar on board in detecting small …

Small object detection (SOD) in optical images and videos is a challenging problem that
even state-of-the-art generic object detection methods fail to accurately localize and identify …

Autonomous driving on water surfaces plays an essential role in executing hazardous and
time-consuming missions, such as maritime surveillance, survivor rescue, environmental …

A new obstacle detection algorithm for unmanned surface vehicles (USVs) is presented. A
state-of-the-art graphical model for semantic segmentation is extended to incorporate boat …

Obstacle detection using semantic segmentation has become an established approach in
autonomous vehicles. However, existing segmentation methods, primarily developed for …

Small-sized unmanned surface vehicles (USV) are coastal water devices with a broad range
of applications such as environmental control and surveillance. A crucial capability for …

The progress of obstacle detection via semantic segmentation on unmanned surface
vehicles (USVs) has been significantly lagging behind the developments in the related field …

A reliable obstacle detection system is crucial for autonomous surface vehicles (ASVs) to
realize fully autonomous navigation with no need of human intervention. However, the …