18143723. AUTONOMOUS DRIVING CONTROL APPARATUS AND METHOD THEREOF simplified abstract (HYUNDAI MOTOR COMPANY)
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
- 1.9.1 Unanswered Questions
- 1.9.2 How does the autonomous driving control apparatus handle sudden changes in the road environment, such as unexpected obstacles or road closures?
- 1.9.3 What measures are in place to prevent false object recognition and ensure accurate detection of objects in the valid contour region?
- 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 utilizes high definition maps and sensor fusion to determine objects on a road with a gradient. The method involves obtaining information about objects around the vehicle, receiving information about a high definition map, and navigating the vehicle lane and target lane based on this information. The processor then determines a valid contour region and recognizes 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 and target lane based on sensor and map information
- Valid contour region is determined using a verification algorithm
- Objects are recognized within the valid contour region
Potential Applications
This technology can be applied in autonomous vehicles, self-driving cars, and advanced driver assistance systems (ADAS).
Problems Solved
This technology helps in accurately detecting and recognizing objects on roads with gradients, improving the safety and efficiency of autonomous driving systems.
Benefits
The benefits of this technology include enhanced object detection capabilities, improved navigation on challenging terrains, and increased overall safety on the road.
Potential Commercial Applications
Commercial applications of this technology include autonomous vehicle technology companies, automotive manufacturers, and companies developing advanced driver assistance systems.
Possible Prior Art
One possible prior art for this technology could be the use of sensor fusion and high definition maps in autonomous driving systems, which have been developed and implemented by various companies in the industry.
Unanswered Questions
How does the autonomous driving control apparatus handle sudden changes in the road environment, such as unexpected obstacles or road closures?
The patent application does not specifically address how the apparatus reacts to sudden changes in the road environment and unexpected obstacles. This aspect of the technology would be crucial for ensuring the safety and reliability of autonomous driving systems.
What measures are in place to prevent false object recognition and ensure accurate detection of objects in the valid contour region?
The patent application does not detail the specific algorithms or methods used to prevent false object recognition and ensure accurate detection within the valid contour region. This information would be important for understanding the reliability and performance of the technology.
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.
