17822969. Autonomous Driving Control Apparatus and Method Thereof simplified abstract (KIA CORPORATION)
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 17822969 titled 'Autonomous Driving Control Apparatus and Method Thereof
Simplified Explanation
The abstract describes an autonomous driving control apparatus that includes a sensor device, a memory, and a controller. The sensor device collects information about the surroundings of the autonomous vehicle using multiple sensors. The memory stores information about a high definition map around the vehicle. The controller classifies the sensors into sensor sets based on the collected information and the map data using a sensor set classification table. It also monitors the utilization rate of computational resources and the occupancy rate of the memory. Based on this monitoring, it calculates a determiner input drop rate and determines if there are available resources. If there are, it decides whether to allocate additional determiners and adjusts the autonomous driving determination period accordingly.
- The apparatus includes a sensor device with multiple sensors to collect information about the surroundings of the autonomous vehicle.
- It stores information about a high definition map in its memory.
- The controller classifies the sensors into sensor sets based on the collected information and the map data.
- It monitors the utilization rate of computational resources and the occupancy rate of the memory.
- Based on the monitoring, it calculates a determiner input drop rate to determine if there are available resources.
- If there are available resources, the controller decides whether to allocate additional determiners.
- It also adjusts the autonomous driving determination period based on the availability of resources.
Potential Applications
This technology can be applied in various autonomous driving systems, including self-driving cars, autonomous delivery vehicles, and autonomous drones. It can enhance the efficiency and reliability of autonomous driving by optimizing resource allocation and decision-making processes.
Problems Solved
1. Resource Optimization: The apparatus optimizes the utilization of computational resources and memory occupancy, ensuring efficient operation of the autonomous driving system. 2. Sensor Classification: By classifying sensors into sets based on the collected information and map data, the apparatus improves the accuracy and reliability of the autonomous driving system's perception capabilities. 3. Determiner Allocation: The apparatus determines whether to allocate additional determiners based on resource availability, improving the system's decision-making capabilities.
Benefits
1. Improved Efficiency: By monitoring resource utilization and adjusting determiner allocation, the apparatus maximizes the efficiency of the autonomous driving system. 2. Enhanced Perception: The sensor classification process improves the accuracy and reliability of the system's perception capabilities, leading to safer and more reliable autonomous driving. 3. Resource Optimization: By optimizing resource allocation, the apparatus ensures the autonomous driving system operates smoothly without resource constraints.
Original Abstract Submitted
An autonomous driving control apparatus includes a sensor device obtaining information around an autonomous vehicle and including a plurality of sensors, a memory storing information about a high definition map around the autonomous vehicle, and a controller classifying the sensors into at least one sensor set based on the information around the autonomous vehicle and the information about the high definition map, using a sensor set classification table, monitoring a computational resource utilization rate and a resource occupancy rate of the memory, calculating a determiner input drop rate and determining whether there is an available resource, using the monitored computational resource utilization rate and the monitored resource occupancy rate, determining whether to additionally allocate at least one determiner using the determiner input drop rate and whether there is the available resource, and changing an autonomous driving determination period.
