17987286. Autonomous Driving Control System and Collision Avoidance Control Method Therewith simplified abstract (Kia Corporation)
Contents
- 1 Autonomous Driving Control System and Collision Avoidance Control Method Therewith
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Autonomous Driving Control System and Collision Avoidance Control Method Therewith - 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 System and Collision Avoidance Control Method Therewith
Organization Name
Inventor(s)
Kyung Jae Ahn of Seongnam-si (KR)
Du Hyeon Cho of Seongnam-si (KR)
Autonomous Driving Control System and Collision Avoidance Control Method Therewith - A simplified explanation of the abstract
This abstract first appeared for US patent application 17987286 titled 'Autonomous Driving Control System and Collision Avoidance Control Method Therewith
Simplified Explanation
The embodiment collision avoidance control method described in the abstract involves generating a grid map based on vehicle and object information to determine collision risk areas and control avoidance of these areas.
- Vehicle and object information, including position and velocity vectors, are stored in a grid map.
- Collision risk areas are identified where the vehicle and object overlap in the grid map.
- Avoidance of collision risk areas is controlled to prevent accidents.
Potential Applications
This technology can be applied in various autonomous driving systems to enhance safety and prevent collisions on the road.
Problems Solved
This technology addresses the issue of potential collisions between vehicles and objects by proactively identifying and avoiding collision risk areas.
Benefits
The main benefit of this technology is the improved safety and accident prevention in autonomous driving systems by effectively avoiding collision risk areas.
Potential Commercial Applications
This technology can be utilized in autonomous vehicles, transportation systems, and other industries where collision avoidance is crucial for safety.
Possible Prior Art
One possible prior art for this technology could be collision avoidance systems in autonomous vehicles that use sensors and algorithms to detect and prevent collisions.
What are the specific algorithms used to determine collision risk areas in the grid map?
The specific algorithms used to determine collision risk areas in the grid map are not detailed in the abstract. Further information on the mathematical calculations and logic behind this process would provide a clearer understanding of the technology.
How does this technology integrate with existing autonomous driving control systems?
The abstract does not mention how this technology integrates with existing autonomous driving control systems. Understanding the compatibility and integration process with current systems would be essential for implementation and adoption in the industry.
Original Abstract Submitted
An embodiment collision avoidance control method with an autonomous driving control system includes generating a grid map by storing vehicle information including position and velocity vectors of a vehicle and object information including position and velocity vectors of an object sensed around the vehicle in a grid cell corresponding to an area occupied by the vehicle and the object and determining, as a collision risk area, an area where a grid cell occupied by the vehicle for each reference time set based on the vehicle information overlaps a grid cell occupied by the object for each reference time predicted based on the object information, to control avoidance of the collision risk area.
