Samsung electronics co., ltd. (20240125925). METHOD AND APPARATUS WITH CUT-IN VEHICLE MOVEMENT PREDICTOR simplified abstract
Contents
- 1 METHOD AND APPARATUS WITH CUT-IN VEHICLE MOVEMENT PREDICTOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS WITH CUT-IN VEHICLE MOVEMENT PREDICTOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND APPARATUS WITH CUT-IN VEHICLE MOVEMENT PREDICTOR
Organization Name
Inventor(s)
Seung Tae Khang of Suwon-si (KR)
Young Rae Cho of Suwon-si (KR)
METHOD AND APPARATUS WITH CUT-IN VEHICLE MOVEMENT PREDICTOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240125925 titled 'METHOD AND APPARATUS WITH CUT-IN VEHICLE MOVEMENT PREDICTOR
Simplified Explanation
The patent application describes a method of predicting the movement of a cut-in object using radar data and Doppler velocity information.
- Separating Doppler velocity corresponding to at least one wheel of the cut-in object from radar data based on the velocity of the cut-in object.
- Determining the position of the at least one wheel of the cut-in object based on the Doppler velocity.
- Generating movement information related to the horizontal movement or moving direction of the cut-in object based on the position of the at least one wheel.
- Determining the position of the cut-in object based on the generated movement information.
Potential Applications
This technology could be applied in autonomous driving systems to predict the movement of vehicles around the autonomous vehicle.
Problems Solved
This technology helps in predicting the movement of cut-in objects accurately, which is crucial for safe and efficient driving.
Benefits
The method provides a more precise way of predicting the movement of cut-in objects, enhancing the overall safety and performance of autonomous driving systems.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced driver assistance systems (ADAS) for vehicles.
Possible Prior Art
Prior art in this field may include methods for predicting the movement of objects using radar data in autonomous driving systems.
Unanswered Questions
How does this technology handle complex traffic scenarios where multiple cut-in objects are present?
This technology focuses on predicting the movement of a single cut-in object. Handling complex traffic scenarios with multiple cut-in objects may require further development or integration with other systems.
What are the limitations of this method in adverse weather conditions?
Adverse weather conditions such as heavy rain or snow may affect the accuracy of radar data and Doppler velocity information, potentially impacting the performance of this method. Further research and testing are needed to assess its reliability in such conditions.
Original Abstract Submitted
a method of predicting a movement of a cut-in object, including separating a doppler velocity corresponding to at least one wheel of the cut-in object from radar data based on a velocity of the cut-in object, determining a position of the at least one wheel of the cut-in object based on the doppler velocity, generating at least one of first movement information related to a horizontal movement of the cut-in object or second movement information related to a moving direction of the cut-in object based on the position of the at least one wheel, and determining a position of the cut-in object based on at least one of the first movement information or the second movement information.
