Hyundai motor company (20240157976). Autonomous Driving Control System and Collision Avoidance Control Method Therewith simplified abstract
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 20240157976 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 creating a grid map that stores vehicle information (position and velocity vectors) and object information (position and velocity vectors of objects around the vehicle) in corresponding grid cells. By determining collision risk areas where the vehicle and objects overlap in the grid map, the system can control avoidance of these areas to prevent collisions.
- Explanation of the patent/innovation:
- Grid map generated to store vehicle and object information - Collision risk areas identified where vehicle and objects overlap in grid cells - Control method implemented to avoid collision risk areas
Potential applications of this technology: - Autonomous vehicles - Collision avoidance systems - Traffic management systems
Problems solved by this technology: - Preventing collisions between vehicles and objects - Enhancing safety in autonomous driving scenarios
Benefits of this technology: - Improved safety on the roads - Efficient collision avoidance control - Enhanced autonomous driving capabilities
Potential commercial applications of this technology (SEO optimized title): - "Collision Avoidance Control Method for Autonomous Vehicles: Commercial Applications" - Automotive industry - Transportation companies - Technology firms
Possible prior art: - Existing collision avoidance systems in autonomous vehicles - Traffic management systems with collision detection capabilities
Unanswered questions: 1. How does the system prioritize different collision risk areas for avoidance? 2. What is the computational complexity of generating and updating the grid map in real-time?
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.
