18218310. VEHICLE AND CONTROL METHOD THEREOF simplified abstract (Hyundai Motor Company)
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 multiple trajectories of the vehicle based on maneuver data and lane information.
- The vehicle includes a maneuver sensor to obtain maneuver data and a vehicle environment sensor to obtain lane information.
- The controller predicts a first trajectory of the vehicle using a physics-based model, a second trajectory using a maneuver-based model, and a 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 multiple trajectories of a vehicle, which can improve vehicle control, safety, and efficiency on the road.
Benefits
The benefits of this technology include enhanced vehicle maneuverability, improved road safety, and better decision-making for autonomous vehicles.
Potential Commercial Applications
Potential commercial applications of this technology include automotive industry for developing advanced driver-assistance systems, autonomous vehicles, and vehicle safety systems.
Possible Prior Art
One possible prior art could be existing vehicle control systems that use sensors to gather data for predicting vehicle trajectories.
What are the specific physics-based and maneuver-based models used in predicting the trajectories of the vehicle?
The specific physics-based model used in predicting the trajectories of the vehicle is based on the physical laws governing vehicle motion, such as acceleration, velocity, and position. The maneuver-based model takes into account the specific maneuvers performed by the vehicle, such as lane changes or turns.
How does the controller prioritize between the first and second trajectories to predict the final trajectory of the vehicle?
The controller prioritizes between the first and second trajectories by considering factors such as road conditions, traffic patterns, and the vehicle's current state to determine the most optimal trajectory for the vehicle to follow.
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.
