Hyundai motor company (20240132107). VEHICLE AND CONTROL METHOD THEREOF simplified abstract
Contents
- 1 VEHICLE AND CONTROL METHOD THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VEHICLE AND CONTROL METHOD THEREOF - 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
VEHICLE AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Jeongmin Cho of Hwaseong-si (KR)
VEHICLE AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240132107 titled 'VEHICLE AND CONTROL METHOD THEREOF
Simplified Explanation
The abstract describes a vehicle and a control method that predicts the trajectory of the vehicle based on maneuver data and lane information.
- Maneuver sensor obtains maneuver data of the vehicle
- Vehicle environment sensor obtains lane information of the road
- Controller predicts first trajectory using physics-based model
- Controller predicts second trajectory using maneuver-based model
- Controller predicts final trajectory based on first and second trajectories
Potential Applications
This technology could be applied in autonomous vehicles, advanced driver assistance systems, and vehicle safety systems.
Problems Solved
This technology helps in predicting the trajectory of a vehicle accurately, which can improve safety, efficiency, and overall driving experience.
Benefits
The benefits of this technology include enhanced vehicle control, improved road safety, and optimized driving performance.
Potential Commercial Applications
Potential commercial applications include automotive industry for autonomous vehicles, transportation companies for fleet management, and technology companies for developing advanced driver assistance systems.
Possible Prior Art
One possible prior art could be the use of predictive modeling in autonomous vehicles to anticipate and plan vehicle trajectories based on various data inputs.
What are the limitations of the predictive models used in this technology?
The limitations of the predictive models used in this technology could include accuracy issues in complex driving scenarios, reliance on sensor data quality, and potential challenges in real-time implementation.
How does this technology compare to existing trajectory prediction systems in terms of accuracy and reliability?
This technology may offer improved accuracy and reliability compared to existing trajectory prediction systems by utilizing both physics-based and maneuver-based models to predict the final trajectory of the vehicle.
Original Abstract Submitted
described herein is a vehicle and a control method thereof. the vehicle includes a maneuver sensor provided to obtain maneuver data of the vehicle, a vehicle environment sensor provided to obtain lane information of a road on which the vehicle is traveling, and a controller electrically connected to the vehicle environment sensor, wherein the controller predicts a first trajectory of the vehicle based on a physics-based model using the maneuver data, predicts a second trajectory of the vehicle based on a maneuver-based model using the maneuver data and the lane information, and predicts a final trajectory of the vehicle based on the first trajectory and the second trajectory.
