Vehicle Sensor Model Creation With Hash Lookup Memory Mapping
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Solution Overview
Problem
Existing systems for integrating multiple sensor data in vehicles face challenges due to high memory and computing power requirements, which hinder efficient and reliable environmental modeling for autonomous driving and vehicle assistance.
Innovation Solution
A model creation device that uses a low-resource electronic device to integrate data from multiple sensors by creating a lookup table and overflow table with byte-sized memory positions, allowing efficient matching and storage of object data, minimizing memory and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional systems integrate multiple sensor data for environmental modeling, then the reliability of environmental detection is improved, but the memory and computing power requirements increase significantly
Solution Approach 1:
The patent segments the environmental detection task by processing data from multiple sensors (camera, lidar, radar) separately and then integrating them through a structured approach. Each sensor's data is processed independently to create object models, which are then combined to form a comprehensive environmental model, reducing the memory burden compared to processing all sensor data simultaneously as a single large dataset
Solution Approach 2:
The patent performs preliminary processing of sensor data by creating object models from individual sensor inputs before final integration. This preliminary action filters and pre-processes the data, reducing the amount of information that needs to be stored and processed in the final environmental model, thereby reducing overall memory requirements while maintaining detection reliability
2Reliability
If traditional systems integrate multiple sensor data for environmental modeling, then the reliability of environmental detection is improved, but the computing power requirements increase significantly
Solution Approach 1:
The patent divides the computational task into separate processing stages: individual sensor data processing, object model creation, and environmental model integration. This segmentation allows each computational step to be optimized independently and reduces the peak computing power required compared to processing all sensor data simultaneously in a single large computation
Solution Approach 2:
The patent performs preliminary computational processing to create object models from individual sensor data before final integration. This preliminary computation filters and pre-processes the data, reducing the computational complexity of the final environmental model integration step and lowering overall power requirements while maintaining detection reliability
3Adaptability or versatility
If dynamic memory is used for sensor data integration, then the flexibility of data processing is improved, but the power consumption and heat dissipation increase
Solution Approach 1:
The patent uses static memory structures (lookup tables, overflow tables) that are pre-configured to handle sensor data integration. These static structures provide flexible data processing capabilities without requiring dynamic memory allocation, thereby maintaining adaptability while significantly reducing power consumption and heat dissipation associated with dynamic memory operations
Data Source
AI summary
A model creation device for sensor devices mounted on and/or in a vehicle. The model creation device includes an electronic device and a data memory on which the assigned object data can be stored together with object IDs at an assigned memory position using the electronic device for at least some objects, and from which previously stored object data can be queried using a self-created memory table, which assigns the particular memory position to each object ID stored on the data memory under an assigned index of the memory table, and using at least one lookup table and/or one overflow table. The electronic device is configured to store, for each object ID stored on the data memory, the assigned index of the memory table at a position of the created lookup table or overflow table, which is equal to a hash value of the object ID.