18092488. VEHICLE AND CONTROL METHOD THEREOF simplified abstract (Hyundai Motor Company)
Contents
VEHICLE AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Donghyuk Kim of Hwaseong-si (KR)
VEHICLE AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18092488 titled 'VEHICLE AND CONTROL METHOD THEREOF
Simplified Explanation
A vehicle equipped with a camera and a controller can use image recognition technology to park itself accurately. Here are the key points:
- The vehicle has a camera that captures images of its surroundings.
- The controller uses these images as input to learn and understand the spatial layout around the vehicle.
- By analyzing the images, the controller can also identify other vehicles and determine the wheel area data of those vehicles.
- Using the spatial recognition data and the wheel area data, the controller can calculate the ground clearance between the bottom surface of the surrounding vehicles and the ground.
- The controller then uses this ground clearance information to control the vehicle and park it accurately.
Potential applications of this technology:
- Autonomous parking systems in self-driving cars.
- Parking assistance systems in conventional vehicles to help drivers park more easily and accurately.
Problems solved by this technology:
- Difficulty in accurately parking a vehicle, especially in tight spaces or crowded parking lots.
- Reducing the risk of collisions or damage to the vehicle or surrounding objects during parking.
Benefits of this technology:
- Improved convenience and ease of parking for drivers.
- Enhanced safety and reduced risk of accidents during parking maneuvers.
- Increased efficiency in parking, as the vehicle can park itself accurately without the need for human intervention.
Original Abstract Submitted
A vehicle may include: a camera configured to obtain a surrounding image of the vehicle; and a controller configured to derive spatial recognition data by learning the surrounding image of the vehicle as an input value, derive object recognition data including wheel area data of surrounding vehicles by learning the surrounding image of the vehicle as an input value, determine a ground clearance between a bottom surface of a vehicle body of the surrounding vehicle and a ground by use of the spatial recognition data and the wheel area data, and control the vehicle to park the vehicle by reflecting the ground clearance.