18218310. VEHICLE AND CONTROL METHOD THEREOF simplified abstract (Kia Corporation)
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 18218310 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 a physics-based model
- Controller predicts second trajectory using a maneuver-based model
- Controller predicts final trajectory based on the 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, optimized driving performance, and potential reduction in accidents.
Potential Commercial Applications
Potential commercial applications of this technology could include integration into autonomous vehicles, fleet management systems, and transportation infrastructure.
Possible Prior Art
One possible prior art could be existing vehicle trajectory prediction systems used in advanced driver assistance systems and autonomous vehicles.
What are the specific components of the physics-based model used in predicting the first trajectory of the vehicle?
The specific components of the physics-based model used in predicting the first trajectory of the vehicle could include factors such as vehicle speed, acceleration, road conditions, and environmental factors.
How does the maneuver-based model incorporate lane information in predicting the second trajectory of the vehicle?
The maneuver-based model incorporates lane information in predicting the second trajectory of the vehicle by analyzing the vehicle's position within the lane, potential lane changes, and road curvature to adjust the predicted trajectory accordingly.
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.
