17987286. Autonomous Driving Control System and Collision Avoidance Control Method Therewith simplified abstract (Hyundai Motor Company)
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 with an autonomous driving control system involves generating a grid map based on vehicle and object information to determine collision risk areas and control avoidance of these areas.
- Grid map generated by storing vehicle and object information
- Collision risk areas determined where vehicle and object grid cells overlap
- Control implemented to avoid collision risk areas
Potential Applications
The technology can be applied in autonomous vehicles, drones, and robotics to enhance collision avoidance capabilities.
Problems Solved
This technology helps prevent collisions between vehicles and objects, reducing accidents and improving overall safety on the road.
Benefits
- Increased safety for vehicles and pedestrians - Enhanced autonomous driving capabilities - Reduced risk of accidents and property damage
Potential Commercial Applications
"Collision Avoidance Control Method for Autonomous Driving Systems" can be utilized in self-driving cars, delivery drones, and industrial robots to improve safety and efficiency.
Possible Prior Art
One possible prior art could be the use of sensors and cameras in autonomous vehicles to detect obstacles and avoid collisions. However, the specific method of generating a grid map and determining collision risk areas as described in this patent application may be a novel approach.
Unanswered Questions
How does this technology handle dynamic obstacles in real-time scenarios?
The technology seems to rely on predicted object information, but it is unclear how it adapts to sudden changes in the environment.
What is the computational overhead of implementing this collision avoidance control method?
It is not specified how resource-intensive this method is and if it could potentially impact the overall performance of the autonomous driving system.
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.
