17892743. APPARATUS AND METHOD FOR DETERMINING CUT-IN OF VEHICLE simplified abstract (Hyundai Motor Company)
APPARATUS AND METHOD FOR DETERMINING CUT-IN OF VEHICLE
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APPARATUS AND METHOD FOR DETERMINING CUT-IN OF VEHICLE - A simplified explanation of the abstract
This abstract first appeared for US patent application 17892743 titled 'APPARATUS AND METHOD FOR DETERMINING CUT-IN OF VEHICLE
Simplified Explanation
The patent application describes an apparatus and method for determining when a vehicle cuts in front of another vehicle. The apparatus includes a sensor that detects the surroundings of the vehicle and generates a point cloud. A controller then uses this point cloud to calculate the distance from a starting point to an obstacle, and also calculates a distance ratio based on this distance. The distance ratio is then analyzed using an artificial neural network to determine if a surrounding vehicle has cut in and in which direction.
- Sensor detects surroundings of the vehicle and generates a point cloud
- Controller calculates distance from starting point to an obstacle
- Controller calculates distance ratio based on the distance to the obstacle
- Distance ratio is analyzed using an artificial neural network
- Determines if a surrounding vehicle has cut in and the cut-in direction
Potential Applications
- Advanced driver assistance systems (ADAS)
- Autonomous vehicles
- Traffic monitoring and control systems
Problems Solved
- Difficulty in accurately determining when a vehicle cuts in front of another
- High operation load in making such determinations
- Lack of accuracy in determining cut-in vehicles
Benefits
- Quick and accurate determination of cut-in vehicles
- Minimizes the operation load on the system
- Increases the accuracy of determination performance
Original Abstract Submitted
Disclosed are an apparatus and method for determining a cut-in of a vehicle. The apparatus includes a sensor that detects surroundings of the vehicle to generate a point cloud, and a controller that calculates a distance from a starting point to an obstacle based on the point cloud, calculates a distance ratio based on the distance to the obstacle, analyzes the distance ratio by using an artificial neural network, and determines whether a surrounding vehicle cuts in and a cut-in direction. Therefore, it is possible to quickly and accurately determine a cut-in vehicle by minimizing the operation load and increasing the accuracy of the determination performance.
