English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Avoiding collisions with other objects is one of the most basic safety tasks undertaken inthe operation of floating vehicles. Addressing this challenge is essential, especially during unmannedvehicle navigation processes in autonomous missions. This paper provides an empirical analysisof the surface target detection possibilities in a water environment, which can be used for thefuture development of tracking and anti-collision systems for autonomous surface vehicles (ASV).The research focuses on identifying the detection ranges and the field of view for various surfacetargets. Typical objects that could be met in the water environment were analyzed, including a boatand floating objects. This study describes the challenges of implementing automotive radar sensorsfor anti-collision tasks in a water environment from the perspective of target detection with theapplication for small ASV performing tasks on the lake.

The Empirical Application of Automotive 3D Radar Sensor for Target Detection for an Autonomous Surface Vehicle’s Navigation