18143723. AUTONOMOUS DRIVING CONTROL APPARATUS AND METHOD THEREOF simplified abstract (KIA CORPORATION)
Contents
- 1 AUTONOMOUS DRIVING CONTROL APPARATUS AND METHOD THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUTONOMOUS DRIVING CONTROL APPARATUS AND 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
AUTONOMOUS DRIVING CONTROL APPARATUS AND METHOD THEREOF
Organization Name
Inventor(s)
AUTONOMOUS DRIVING CONTROL APPARATUS AND METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18143723 titled 'AUTONOMOUS DRIVING CONTROL APPARATUS AND METHOD THEREOF
Simplified Explanation
The autonomous driving control apparatus described in the patent application uses a high definition map and sensor fusion to determine objects on a road with a gradient. The method involves obtaining information about objects around the vehicle using sensors, receiving information about a high definition map around the vehicle through a communication device, and processing this data to navigate the vehicle lane link and target lane link, determine a valid contour region, and recognize objects within that region.
- Sensor obtains information about objects around the vehicle
- Communication device receives information about a high definition map
- Processor navigates vehicle lane link and target lane link based on sensor and map information
- Valid contour region is determined using a verification algorithm
- Objects within the valid contour region are recognized
Potential Applications
This technology can be applied in autonomous vehicles, self-driving cars, and advanced driver-assistance systems (ADAS) to improve object detection and navigation on roads with gradients.
Problems Solved
1. Improved object detection on roads with gradients 2. Enhanced navigation capabilities for autonomous vehicles
Benefits
1. Increased safety on challenging road conditions 2. Enhanced accuracy in object recognition 3. Improved overall driving experience for users
Potential Commercial Applications
Optimizing autonomous driving systems for various road conditions, enhancing safety features in self-driving cars, and improving navigation accuracy in ADAS can all lead to commercial applications in the automotive industry.
Possible Prior Art
One possible prior art could be the use of sensor fusion and high definition maps in autonomous driving systems, which have been developed by various companies and research institutions in the field of self-driving technology.
Unanswered Questions
How does the apparatus handle dynamic objects on the road?
The patent application does not specifically address how the autonomous driving control apparatus deals with dynamic objects such as moving vehicles or pedestrians. This aspect of the technology would be crucial for real-world applications where objects on the road are constantly changing.
What is the accuracy rate of object recognition in different road conditions?
The patent application does not provide information on the accuracy rate of object recognition in various road conditions, especially on roads with gradients. Understanding the performance of the technology in different scenarios would be essential for assessing its practical utility and reliability.
Original Abstract Submitted
An autonomous driving control apparatus for determining an object using high definition map and sensor fusion on a road with a gradient and a method thereof are provided. The autonomous driving control apparatus includes a sensor that obtain information about an object around a vehicle, a communication device that receives information about a high definition map around the vehicle, and a processor electrically connected with the sensor and the communication device The processor navigates a vehicle lane link and a target lane link based on the information about the object and the information about the high definition map, determines a valid contour region by applying a valid contour verification algorithm to the vehicle lane link and the target lane link, and recognizes an object in the valid contour region.
