Ego Vessel Motion Determination via Radar Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Maritime navigation systems face challenges in accurately determining the motion of an ego vessel in dynamic environments without relying on GNSS or external infrastructure, as radar-based localization and odometry systems fail due to changing surroundings and dynamic objects.
Innovation Solution
A method and system that utilize radar data and dynamic object data, obtained from cameras or AIS units, to determine the motion of an ego vessel by distinguishing and isolating dynamic objects from static ones, allowing for accurate motion determination without GNSS or external infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar-based localization and odometry systems are used in dynamic maritime environments, then motion determination can be performed without GNSS or external infrastructure, but the systems fail due to changing surroundings and dynamic objects
Solution Approach 1:
The patent segments the environment into dynamic objects and static background by processing radar data to identify and separate moving targets. This segmentation allows the system to exclude dynamic objects from motion determination calculations, resolving the contradiction between reliability and adaptability to dynamic environments.
Solution Approach 2:
The patent extracts dynamic object data from the overall radar measurement data and removes it from the dataset used for motion determination. By taking out the interfering dynamic elements, the system maintains reliable motion determination despite the presence of changing surroundings.
2Measurement precision
If all radar data is used for motion determination, then comprehensive information is available, but dynamic objects interfere with accurate motion determination
Solution Approach 1:
The patent extracts and removes dynamic object data from the radar measurement dataset before performing motion determination. This extraction process eliminates interference from moving objects while preserving all static background information, thereby maintaining measurement precision without unnecessary loss of useful information.
Solution Approach 2:
The patent segments radar data into dynamic and static components, selectively using only the static background portion for motion determination. This segmentation ensures high measurement precision by excluding interfering dynamic objects while retaining all relevant static environmental information.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and cost-efficient determination of an ego vessel's motion in dynamic maritime environments by filtering out dynamic object data from radar measurements, thereby improving radar-based odometry and localization systems.
Implementation Method 1
receiving radar data of a radar measurement of surroundings of an ego vessel
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
A method and a system for determining a motion of an ego vessel (18) are disclosed. The method comprises: receiving radar data of a radar measurement of surroundings of the ego vessel (18); receiving solid object data which are representative for one or more solid objects within the surroundings of the ego vessel (18); determining dynamic object data from the solid object data, wherein the dynamic object data are representative for one or more dynamic objects of the solid objects encoded in the solid object data; and determining the motion of the ego vessel (18) depending on the radar data and the dynamic object data.