INTERNATIONAL BUSINESS MACHINES CORPORATION (20240378818). AR AND DEEP LEARNING INTERSECTION SHIP ROUTE PREDICTOR simplified abstract
Contents
AR AND DEEP LEARNING INTERSECTION SHIP ROUTE PREDICTOR
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Yuan Yuan Ding of Shanghai (CN)
Yang Liu of Zhong Xin City (CN)
Ke Yong Zhang of Shanghai City (CN)
Hong Bing Zhang of Beijing (CN)
Tian Tian Chai of Beijing (CN)
AR AND DEEP LEARNING INTERSECTION SHIP ROUTE PREDICTOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240378818 titled 'AR AND DEEP LEARNING INTERSECTION SHIP ROUTE PREDICTOR
The abstract describes a method, computer system, and computer program product for predicting the movement intentions of ships using binocular camera visual data of a body of water.
- Obtaining binocular camera visual data of a body of water
- Identifying physical objects in the body of water
- Generating feature point clouds of the physical objects
- Performing instance segmentation on the feature point clouds
- Analyzing the feature point clouds
- Predicting the movement intentions of identified ships based on the analyzed data
- Displaying the predicted movement intentions on an augmented reality device
Potential Applications: - Maritime navigation assistance - Ship collision avoidance systems - Harbor traffic management - Search and rescue operations - Environmental monitoring of water bodies
Problems Solved: - Enhancing safety in maritime environments - Improving efficiency in ship navigation - Reducing the risk of accidents at sea - Enhancing situational awareness for ship operators
Benefits: - Increased safety for ships and crew - Enhanced navigation accuracy - Improved traffic flow in waterways - Real-time monitoring and decision-making support - Potential cost savings for maritime operations
Commercial Applications: Title: "Advanced Ship Movement Prediction Technology for Maritime Safety" This technology can be utilized by maritime authorities, shipping companies, port operators, and marine research institutions. It has the potential to revolutionize ship navigation and safety protocols, leading to safer and more efficient maritime operations.
Questions about Ship Movement Prediction Technology: 1. How does this technology improve maritime safety? - This technology enhances maritime safety by accurately predicting the movement intentions of ships, allowing for proactive navigation decisions to avoid collisions and other hazards. 2. What are the key advantages of using feature point clouds in predicting ship movements? - Feature point clouds provide detailed spatial information about physical objects in the water, enabling precise analysis and prediction of ship movements.
Original Abstract Submitted
according to one embodiment, a method, computer system, and computer program product for predicting the movement intentions of ships is provided. the present invention may include obtaining binocular camera visual data of a body of water; identifying physical objects in the body of water; generating feature point clouds of the physical objects in the body of water; performing instance segmentation on the generated feature point clouds; analyzing the generated feature point clouds; predicting the movement intentions of identified ships in the body of water based on the analyzed feature point clouds; and displaying the predicted movement intentions of the identified ships in the body of water on an augmented reality device.
